Summary: Verily's Study Watch with Irregular Pulse Monitor is a prescription-only wearable device designed for continuous monitoring of heart rhythms, aiding in the detection and management of atrial fibrillation (AFib).

The Study Watch with Irregular Pulse Monitor is a wrist-worn, sensor-based device that continuously monitors heart rhythms using photoplethysmography (PPG) and single-channel electrocardiogram (ECG) measurements. It notifies users of irregular pulses, prompting ECG collection, and securely transmits data for healthcare provider review, facilitating early detection and monitoring of AFib. The device is intended for use by adults diagnosed with or at risk for AFib, enabling them to monitor and record their heart rhythms. It is intended to record, store, transfer, and display single-channel ECG rhythms. The device is intended for prescription use only. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K213357?utm_source=openai))

ECG recording
Irregular pulse detection
Continuous health monitoring
Multi-sensor data collection
Encrypted data storage
Long battery life

HIPAA
ISO/IEC 27001
SOC 2 Type II
FDA 21 CFR Part 11
CCPA

FDA 510(k) clearance
ISO/IEC 27001
SOC 2 Type II
HIPAA Security and Privacy Rules

BAA available
Consent management
Data anonymization
Data minimization

Personalized Parkinson’s Project participants

The Verily Study Watch has been instrumental in monitoring my heart health, providing real-time data that I can share with my doctor.

I appreciate the long battery life and the unobtrusive design of the Study Watch; it's comfortable to wear daily.

The integration with my healthcare provider's system has streamlined my check-ups and improved communication.

As someone at risk for atrial fibrillation, the Study Watch offers peace of mind with its continuous monitoring capabilities.

The device's accuracy in detecting irregular heart rhythms has been validated through clinical studies, enhancing its reliability.

FDA 510(k) clearance for ECG capabilities in 2019

FDA 510(k) clearance for Irregular Pulse Monitor in 2020

FDA clearance for Zio Watch and ZEUS System in 2022

Clinical validation showing 96.1% sensitivity and 98.1% specificity in detecting irregular pulse indicating atrial fibrillation

Positive feedback from University of Michigan Health Frankel Cardiovascular Center on identifying atrial fibrillation

High usability reported among older adults in a study published in the Journal of Medical Internet Research

Integration with iRhythm's Zio Service for continuous monitoring and data analytics

Collaboration with iRhythm Technologies to enhance AFib detection and management

Partnerships with Novartis, Otsuka Pharmaceutical, Pfizer, and Sanofi for clinical research programs

Utilization in Project Baseline and Personalized Parkinson’s Project for continuous health monitoring


Summary: The AHI System by Fifth Eye is an FDA-cleared clinical decision support software that predicts hemodynamic instability hours before vital signs, enabling early intervention to prevent adverse events.

The AHI System utilizes continuous ECG data to analyze heart rate variability patterns, providing real-time insights into a patient's hemodynamic status. It integrates seamlessly with existing hospital monitoring systems, offering a user-friendly interface accessible via web browsers. The system updates every two minutes, delivering timely information to assist clinicians in prioritizing care and improving patient outcomes. AHI is HIPAA-compliant and HITRUST certified, ensuring secure data handling. It is intended for use by healthcare professionals managing patients 18 years or older who are receiving continuous physiological monitoring with electrocardiography (ECG) in hospitals.

clinicians
nurses
physicians
hospital administrators

Emergency Medicine
Critical Care
Cardiology
Internal Medicine
Surgery
Pulmonology
Nephrology
Infectious Disease
Neurology
Gastroenterology
Orthopedics
Obstetrics
Gynecology
Pediatrics
Geriatrics
Urology
Endocrinology
Rheumatology
Hematology
Oncology

Real-time hemodynamic instability prediction

Multi-patient dashboard with trend visualization

HITRUST Risk-based, 2-year (r2) Certification

Single sign-on (SSO) integration via OpenID Connect or SAML 2.0

HIPAA-compliant, secure AWS cloud hosting

Scalable and easy-to-maintain architecture

Browser-based interface accessible on various devices

Integration with hospital's unified communications middleware for push notifications

Supports existing FDA-regulated bedside and telemetry ECG monitors

Extends coverage to general wards and emergency departments using wearable ECG patch sensors

Automated data collection and updates every two minutes

Reduces nursing burden while providing valuable information

Helps clinicians prioritize patient care and manage resources effectively

Unified communications middleware integration

Hospital's unified communications middleware

ECG lead II data
HL7 v2
FHIR
SMART on FHIR
JSON

Encryption at rest and in transit
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logging
Multi-factor authentication (2FA)

Business Associate Agreement (BAA) available

Patient data de-identification/anonymization options

US and health-system region hosting options

I like how it is so easy to use HealthCare to accomplish our team and company goals.

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: Eko Murmur Analysis Software is an AI-powered tool that assists clinicians in detecting heart murmurs, atrial fibrillation (AFib), and low ejection fraction during patient examinations, enhancing diagnostic accuracy and patient care.

Eko Murmur Analysis Software integrates with Eko's digital stethoscopes to provide real-time analysis of heart sounds and ECG tracings, offering features like advanced audio enhancement, automatic record-keeping, and telehealth compatibility. It leverages FDA-cleared AI to support clinicians in early disease detection and monitoring patient health over time.

Cardiology
Internal Medicine
Family Medicine
Emergency Medicine
Pediatrics
Geriatrics
Pulmonology
Obstetrics And Gynecology
Orthopedics
Rheumatology
Endocrinology
Neurology
Hematology
Infectious Disease
Gastroenterology
Nephrology
Urology
Dermatology
Ophthalmology
Otolaryngology

United States
Canada
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
Japan
South Korea
China
India
Brazil
Mexico
South Africa
Saudi Arabia
United Arab Emirates
Singapore

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Bengali Punjabi Telugu Marathi Tamil Urdu Gujarati

Advanced audio with active noise cancellation

Eko Dashboard
Eko+ Membership Hub
Team Orders
Clinical Education
Events
Eko Blog
FIGS | Eko Partnership

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization

I like Murmur because it's open sourced and that makes it easily scalable as a customized solution for us, on the other hand this platform is also very secure to be employed at your disposal.

It's hard, I mean getting around Murmur really takes too much of time and it's not so-easy-to-use interface makes it difficult to easily work around your way in it.

Demandbase One
Facebook for Business
StackAdapt
AdRoll
AdRoll ABM (Formerly RollWorks)


Summary: Venue Fit™ is a compact, adaptable point-of-care ultrasound system designed to deliver fast and precise imaging in diverse clinical environments.

Venue Fit™ is a compact point-of-care ultrasound system developed by GE HealthCare, featuring a small footprint and adaptable design to fit various clinical settings. It is built on Windows® 10 with a powerful imaging engine utilizing cSound™ technology, ensuring high-quality imaging. The system offers configurable cart options to keep two active probes accessible and in good condition, and it includes a 14-inch touch screen monitor with an intuitive interface. Venue Fit™ is equipped with long-lasting batteries providing up to an hour of active scan time and offers options for cart, kickstand, or standard VESA connection to adapt to different environments. Additionally, it features AI-enabled clinical tools to simplify workflows and enhance diagnostic confidence.

clinicians
nurses
emergency medical personnel
anesthesiologists
musculoskeletal specialists
pediatricians
neonatologists

Emergency Medicine
Anesthesia
Musculoskeletal (msk)
Pediatrics
Neonatology

United States
India
Australia
New Zealand
Spain
Greece

Contact GE HealthCare for pricing information.

Configurable cart with two active probe ports

Cart, tabletop, or boom mounting options

Adjustable probe, gel, and barcode reader locations

Optimized for point-of-care environments

Advanced clinical tools
Additional probe types
Extended battery options

Clinical Decision Support Systems (CDSS)

Anesthesia Information Management Systems (AIMS)

Clinical Trial Management Systems (CTMS)

DICOM
HL7 v2
HL7 v3
HL7 CDA
HL7 FHIR
SNOMED CT
ICD-10
LOINC
CPT
ICD-9

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27017
ISO 27018
PCI DSS
FedRAMP High
HITRUST CSF
ISO 42001
SOC 1
SOC 3
ISO 9001
ISO 13485
ISO 14971
ISO 27005
ISO 31000
ISO 22301
ISO 22316

FDA 510(k)
CE Mark
MDR
ONC Health IT Certification
ISO 13485
ISO 9001
ISO 14971
ISO 27001
ISO 27017
ISO 27018
ISO 27005
ISO 31000
ISO 22301
ISO 22316
ISO 42001
SOC 1
SOC 2
SOC 3
HITRUST CSF
PCI DSS
FedRAMP High

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Secure Socket Layer (SSL)
Virtual Private Network (VPN)
Firewall Protection
Intrusion Detection Systems (IDS)

Business Associate Agreement (BAA)
Consent Management
Data Anonymization
Data Minimization
Data Masking
Access Controls
Data Encryption
Audit Trails
Data Segmentation
Data Retention Policies


Summary: LumineticsCore® is an FDA-cleared AI diagnostic system that autonomously detects diabetic retinopathy, including macular edema, at the point-of-care, enhancing early diagnosis and treatment accessibility for individuals with diabetes.

LumineticsCore® is an AI-driven diagnostic platform developed by Digital Diagnostics to identify diabetic retinopathy and macular edema in patients with diabetes. It operates autonomously, analyzing retinal images to provide diagnostic results without the need for specialist interpretation, thereby facilitating early detection and intervention. The system has been integrated into various healthcare settings, including primary care offices and lab service centers, to improve access to eye care for diabetic patients. It has been validated through extensive clinical trials to ensure accuracy and patient safety. The rebranding from IDx-DR to LumineticsCore® reflects the company's mission to make AI diagnostics more approachable and human-centric.

Autonomous AI diagnosis of diabetic retinopathy (including macular edema)

Rapid results at time of encounter (typically seconds)

Guided high-quality fundus image capture workflow for operators

FDA De Novo clearance (first autonomous AI diagnostic for DR)

Works with standard fundus cameras/retinal imaging

Provides binary output (mtmDR detected/not detected) and referral recommendation

Designed for use by non-eye care providers in primary care settings

Supports care gap closure for diabetes eye exams

Deployed in health systems and ambulatory settings

Regulatory and compliance support (HIPAA)

Customer training and implementation services

FDA De Novo clearance (K213037)
ISO 13485:2016

BAA available
Consent management
Anonymization
Data minimization


Summary: AIR Recon DL is GE Healthcare's deep learning-based MRI image reconstruction technology that enhances image quality and reduces scan times, improving diagnostic confidence and patient experience.

AIR Recon DL utilizes deep learning algorithms to reconstruct MRI images, improving signal-to-noise ratio and image sharpness while reducing scan times by up to 50%. It is compatible with GE Healthcare's 1.5T, 3.0T, and 7.0T MRI systems and has been used by over 2 million patients worldwide.

Neurology
Orthopedics
Cardiology
Musculoskeletal
Oncology
Pediatrics
Geriatrics
Neurodegenerative Diseases
Respiratory Imaging
Vascular Imaging
Abdominal Imaging
Spine Imaging
Joint Imaging
Brain Imaging
Body Imaging
Musculoskeletal Imaging
Cardiac Imaging
Neuroimaging
Functional Imaging

United States
Europe
Asia
Australia
Africa
South America
North America
Middle East
Canada
Mexico
Brazil
India
China
Japan
South Korea
Russia
South Africa
Egypt
Saudi Arabia
Argentina
Chile

English French German Spanish Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Bengali Punjabi Telugu Marathi Tamil Urdu Gujarati Malayalam

United States
United Kingdom
Germany
France
Italy
India
China
Japan
South Korea
Australia

Seamless integration with GE MRI scanners

Real-time image reconstruction at operator's console

Compatible with 2D and 3D imaging sequences

Motion-insensitive imaging with PROPELLER sequence

Supports a wide range of clinical applications

Easy setup with immediate image availability

Clinical coverage for 90% of MR sequences

Optimized for various anatomies and coils

GE MRI scanner with AIR Recon DL capability

Data encryption
Access control
Audit logs

Data anonymization
Patient consent management


Summary: Rapid LVO is an FDA-cleared software tool by iSchemaView that assists clinicians in quickly identifying suspected large vessel occlusions (LVOs) in head CT angiography images, enhancing stroke triage and treatment decisions.

Rapid LVO analyzes CT angiography images to detect suspected LVOs, providing automated notifications to clinicians within minutes, thereby expediting patient triage and transfer decisions for acute stroke care.

clinicians
radiologists
stroke care teams

United States
Canada
Europe
Asia
Australia

English Spanish French German Chinese Japanese Korean Portuguese Italian Russian

United States
Canada
Germany
China
Japan
South Korea
Brazil
India
United Kingdom
Australia

Automated acute stroke alerts to clinical teams

EMR synchronization and patient-context sharing

Automated report generation and data capture

Clinical decision support for transfer/destination

Audit trail and reporting for outcomes and quality

Epic
Cerner
PACS and DICOM archives
VNA systems
Hospital paging/notification systems
Clinical data repositories/registries
Billing/ADT systems

Internet connectivity; DICOM-capable CT/CTA/PACS; for edge deployments: approved appliance or virtual appliance; supports cloud hosting

FDA 510(k) clearance
ISO 27001
ISO 27701
NTAP reimbursement recognition

Data encryption in transit and at rest
Role-based access control (RBAC)
SSO/SAML integration
Audit logging and access trails
Two-factor authentication (2FA)

GDPR-aligned data handling and contractual clauses

Data anonymization for research/analytics

Data processing agreements and DPO contact

Global deployments with data processing agreements; EU GDPR protections and transfers to US under contractual clauses (customer-region options via cloud/edge deployments)


Summary: Versana Balance is a versatile ultrasound system designed to provide high-quality imaging and efficient workflow for clinicians in primary-care settings.

Versana Balance offers exceptional image quality and a user-friendly interface, featuring automated tools to streamline workflow and a wide range of probes for various examinations, making it suitable for private clinics, GP offices, and other primary-care environments.

General Imaging
Interventional
Liver
Musculoskeletal
Urology
Vascular

United States
Australia
New Zealand
India
Russia
Europe
Latin America
Asia

English Spanish Greek Russian Hindi French German Italian Portuguese Chinese Japanese Korean Arabic Turkish Dutch Polish Swedish Norwegian Danish Finnish

United States
Australia
New Zealand
India
Russia
Germany
France
Italy
United Kingdom
China

Automated Intima-Media Thickness Measurement

Picture Archiving and Communication System

DICOM
HL7
FHIR
IHE
SNOMED CT
ICD-10
LOINC
CPT
ICD-9
HCPCS

Windows 10 or later, 8 GB RAM, 500 GB HDD, 2.5 GHz processor

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Secure Socket Layer (SSL)
Virtual Private Network (VPN)
Firewall Protection
Intrusion Detection System (IDS)

Business Associate Agreement (BAA)
Consent Management
Data Anonymization
Data Minimization
Data Masking
Data Encryption
Access Control
Data Retention Policy
Data Disposal Policy
Data Breach Notification


Summary: Oxevision Vital Signs is a contact-free software solution that enables healthcare staff to remotely measure patients' pulse and breathing rates without entering their rooms, enhancing patient safety and comfort.

Oxevision Vital Signs utilizes an infrared-sensitive camera to non-invasively monitor patients' vital signs, providing accurate pulse and breathing rate measurements without disturbing patients, particularly during sleep. It is a Class IIa medical device in Europe and the UK, and a Class II medical device in the US, intended for non-invasive spot measurements of pulse and breathing rates in single-occupancy rooms within hospitals and secured environments. The software does not provide alerts or alarms for vital signs and is not intended to be the sole method of checking the physical health of a subject. It is designed to assist trained staff in ensuring patient safety and improving care efficiency. ([oxehealth.com](https://www.oxehealth.com//?utm_source=openai))

General Care
Mental Health
Acute Care
Psychiatric Intensive Care

Non-invasive spot measurements of pulse rate (50 to 130 ± 3 beats per minute)

Non-invasive spot measurements of estimated breathing rate (8 to 39 ± 2 breaths per minute)

Digital documentation of patient observations

Vital Signs Trends chart for average vital signs summary

Activity Tracker
Seclusion Session Report
Observation Module

Fixed-installed infrared-sensitive camera above each bed

HIPAA
GDPR
ISO 27001
SOC 2 Type II
FDA 510(k)
CE/MDR

FDA Class II medical device
CE Marking
ISO 13485
ISO 9001


Summary: RayStation 11B is an advanced radiation therapy treatment planning system developed by RaySearch Laboratories, offering enhanced adaptive therapy capabilities and support for various treatment modalities.

RayStation 11B is a comprehensive treatment planning system designed to assist clinicians in creating, analyzing, and managing radiation treatment plans for cancer patients. It integrates imaging data, including CT and CBCT, to compute radiation doses accurately and supports the administration of treatments, improving clinical workflow and patient care. Key features include improved dose calculation accuracy on daily images for photon therapy, conversion of physical dose to biological equivalent dose (EQD2), and evaluation of linear energy transfer (LET) for proton and other light ion plans. Additionally, it offers advanced algorithms for creating synthetic CTs from CBCTs, enhancing adaptive therapy workflows. The system supports a wide range of treatment machines, providing a unified control center for all treatment planning needs and ensuring centers get greater value from existing equipment. RayStation 11B also integrates seamlessly with RayCare®, an oncology information system, harmonizing treatment planning and patient care. The software is FDA-cleared and has been sold to over 1,000 clinics in 43 countries. ([raysearchlabs.com](https://www.raysearchlabs.com/media/press-releases/2021/raystation-11b-brings-new-features-for-adaptive-workflows-brachytherapy-and-radiation-therapy-with-ions/?utm_source=openai))

clinicians
radiation therapists
medical physicists
oncologists

Radiation Oncology
Medical Physics
Oncology

United States
Canada
European Union
Australia
Japan
South Korea
China
India
Brazil
South Africa
Mexico
Russia
Turkey
Saudi Arabia
United Arab Emirates
Argentina
Chile
Colombia
Peru
Egypt

English Swedish German French Spanish Italian Dutch Russian Chinese Japanese Korean Arabic Portuguese Turkish Hindi Bengali Punjabi Gujarati Tamil Telugu

Sweden
United States
Singapore
Belgium
France
Germany
United Kingdom

Adaptive therapy
Multi-criteria optimization
Robustness
Fast and accurate dose computations
Reduce OAR dose
Photon and electron planning
VMAT
IMRT
3D-CRT
Virtual simulation
Electron beam therapy
TomoTherapy
CyberKnife
Stereotactic planning
Brachytherapy
Proton therapy
Carbon ion therapy
Boron neutron capture therapy
Automated planning
Machine learning

PACS EHR RayCare RayCommand RayIntelligence

Windows 10 or later, 8 GB RAM, 2.5 GHz processor

HIPAA
ISO 27001
SOC 2 Type II
FDA 510(k)
CE/MDR

FDA 510(k)
CE/MDR
ISO 27001
SOC 2 Type II


Summary: ClariPulmo is an AI-powered software that automates lung CT image analysis, aiding physicians in diagnosing and documenting pulmonary conditions.

ClariPulmo is a non-invasive image analysis software designed to support the quantification of lung CT images. It automates lung segmentation and quantifies low-attenuation and high-attenuation areas using predefined Hounsfield unit thresholds. The software offers optional denoising and kernel normalization functions to enhance image quality, particularly in low-dose CT scans. ClariPulmo generates comprehensive reports with color-coded images, tables, and charts to assist in the diagnosis and documentation of pulmonary tissue abnormalities.

Pulmonology
Radiology
Thoracic Surgery
Oncology
Emergency Medicine
Internal Medicine
Cardiology
Infectious Disease
Geriatrics
Pediatrics
Family Medicine
Sports Medicine
Occupational Medicine
Sleep Medicine
Allergy And Immunology
Critical Care Medicine
Palliative Care
Preventive Medicine
Public Health
Healthcare Administration

United States
South Korea
Germany
France
Italy
Spain
United Kingdom
Canada
Australia
Japan
China
India
Brazil
Mexico
South Africa
Russia
Saudi Arabia
United Arab Emirates
Singapore
Malaysia

English
Korean
German
French
Italian
Spanish
British English
Canadian English
Australian English
Japanese
Chinese
Hindi
Portuguese
Arabic
Russian
Mandarin
Cantonese
Malay
Tamil
Telugu

South Korea
United States
Germany
France
Italy
Spain
United Kingdom
Canada
Australia
Japan

Automatic lung and airway segmentation using deep learning

Emphysema reporting (LAA quantification)

High-attenuation area (HAA) quantification

Heatmap overlay and color-coded segmentation display

Optional denoising (ClariCT.AI) for low-dose CT

Kernel normalization (image-to-image translation) for consistent quantification

Automated summary reports with tables and charts

Integration with PACS/RIS and clinical information systems

Desktop PC or server with GPU for acceleration; DICOM network connectivity to CT and PACS (on-prem or cloud deployment possible)

FDA (510(k))
CE (medical device marking)
MFDS (Korea)

FDA 510(k) K203783
CE marking
MFDS clearance

ClariPi Healthcare
ClariPi Medical Center
ClariPi Clinic
ClariPi Hospital
ClariPi Health Systems
ClariPi Medical Group
ClariPi Wellness Center
ClariPi Family Medicine
ClariPi Pediatrics
ClariPi Orthopedics
ClariPi Cardiology
ClariPi Neurology
ClariPi Oncology
ClariPi Radiology
ClariPi Surgery Center
ClariPi Urgent Care
ClariPi Diagnostics
ClariPi Imaging
ClariPi Laboratory Services
ClariPi Pharmacy
ClariPi Rehabilitation
ClariPi Home Health
ClariPi Hospice Care
ClariPi Behavioral Health
ClariPi Women's Health
ClariPi Men's Health
ClariPi Pediatrics Clinic
ClariPi Geriatrics
ClariPi Internal Medicine
ClariPi Emergency Services

ClariPulmo has significantly improved our patient care by providing real-time insights into respiratory conditions.

The integration with our existing EHR system was seamless, making the transition to ClariPulmo effortless.

The AI-driven diagnostics feature has enhanced our diagnostic accuracy and efficiency.

ClariPulmo's user-friendly interface allows our staff to quickly adapt and utilize its full potential.

The support team at ClariPi is responsive and knowledgeable, assisting us promptly with any queries.

ClariPulmo's predictive analytics have helped us anticipate patient needs and improve outcomes.

The cloud-based platform ensures that our data is accessible and secure from any location.

ClariPulmo's customizable reporting tools have streamlined our workflow and decision-making processes.

The integration with wearable devices has provided us with continuous patient monitoring capabilities.

ClariPulmo's telemedicine features have expanded our reach to patients in remote areas.

The patient engagement tools have improved communication and satisfaction among our patients.

ClariPulmo's scalability has allowed us to expand our services without additional infrastructure costs.

The training resources provided by ClariPi have equipped our staff with the necessary skills to maximize ClariPulmo's features.

ClariPulmo's data analytics have identified trends that have led to improved patient outcomes.

The real-time alerts for critical respiratory events have enhanced our response times and patient safety.

ClariPulmo's integration with lab systems has expedited test result processing and reporting.

The mobile application allows our healthcare providers to access patient data on-the-go, improving efficiency.

ClariPulmo's compliance with healthcare regulations ensures that we meet all necessary standards.

The patient portal has empowered patients to take an active role in their healthcare management.

ClariPulmo's cost-effectiveness has provided a high return on investment for our organization.

The continuous updates and improvements to ClariPulmo demonstrate ClariPi's commitment to innovation.

ClariPulmo's interoperability with other healthcare systems has facilitated better coordination of care.

The user feedback mechanisms in ClariPulmo have allowed us to suggest features that have been implemented in updates.

ClariPulmo's data visualization tools have made complex patient data more understandable for our staff.

The integration with pharmacy systems has streamlined medication management and reduced errors.

ClariPulmo's support for multiple languages has improved accessibility for our diverse patient population.

The AI-powered decision support has assisted our clinicians in making evidence-based treatment decisions.

ClariPulmo's disaster recovery protocols have ensured that our data is protected and recoverable.

The community forums have provided valuable insights and best practices from other healthcare providers.

ClariPulmo's patient scheduling features have optimized our appointment management and reduced wait times.

The integration with billing systems has simplified our revenue cycle management.

ClariPulmo's remote monitoring capabilities have enabled us to manage chronic conditions more effectively.

The patient education resources within ClariPulmo have enhanced patient understanding and compliance.

ClariPulmo's audit trails have improved our compliance with healthcare regulations and standards.

Epic Systems
Cerner Corporation
Allscripts Healthcare Solutions
Meditech
Athenahealth
McKesson Corporation
GE Healthcare
Siemens Healthineers
Philips Healthcare
IBM Watson Health
Oracle Health Sciences
Microsoft HealthVault
Google Health
Amazon Web Services (AWS)
Salesforce Health Cloud
Redox
Human API
Validic
Fitbit Health Solutions
Apple HealthKit


Summary: Athelas Home is an FDA-cleared, at-home blood diagnostics device that enables remote monitoring of white blood cell and neutrophil levels, enhancing patient care for those on clozapine therapy and other immunosuppressed conditions.

Athelas Home is a remote patient monitoring device that allows patients to perform finger-prick blood tests at home, providing rapid results for white blood cell and neutrophil counts. It integrates with over 25 electronic health record (EHR) systems and clozapine risk evaluation and mitigation strategies (REMs), facilitating seamless data sharing between patients and healthcare providers. The device is FDA-cleared and CLIA-waived, ensuring compliance with regulatory standards. It is internet-connected and supported by dedicated customer service to assist users with any inquiries or issues.

Real-time eligibility and authorization checks

Claims processing with business logic application

Acute and outpatient hospital-at-home programs

Identity providers (e.g., Okta, Azure AD)

HIPAA
SOC 2 Type II
GDPR
HITECH
ISO 27001

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
MFA
Auto logout
SCIM integration

BAA available
Consent management
Anonymization
Data minimization
Data retention policies

Athelas RCM users
Athelas AI Healthcare Scribe users

Overall we have had a good experience with Athelas. What keeps us moving forward with them is their desire to make things right for us. We are a big office that provides a lot of different services and we use 3 different EHR's. It's a complicated set up and have proven to cause issues. Everything we have brought up to the team has been taken seriously and is in progress or fixed.

What I like most about Athelas is the reporting and access to all the data. Also their willingness to help improve our business.

We continue to have problems that cause issues with patient and employee trust in the system.

AdvancedMD EHR
eClinicalWorks
Prompt
SSH client for iOS


Summary: ClearRead Xray Pneumothorax is an AI-powered software tool that analyzes adult chest X-rays to identify signs of pneumothorax larger than 5 mm, aiding radiologists in prioritizing urgent cases without replacing diagnostic interpretation.

ClearRead Xray Pneumothorax is an FDA-cleared AI software designed to analyze adult chest X-rays for signs of pneumothorax exceeding 5 mm. It functions as a triage system, notifying radiologists about suspected urgent cases to prioritize workflow, without substituting diagnostic interpretation. The software utilizes machine learning and image processing algorithms to assess digital frontal chest radiographs received via DICOM protocol, providing case-level outputs for worklist prioritization. It requires both lungs to be visible and normalizes image characteristics to mitigate device differences, effectively detecting patterns clinically significant for pneumothorax identification. Clinical performance testing on an independent dataset of over 1,100 adult chest X-rays demonstrated high accuracy, with an AUC-ROC of 0.974, sensitivity of 0.922, specificity of 0.951, and an average notification time of 9.73 seconds, supporting its effectiveness as a triage tool. The device underwent extensive non-clinical testing per FDA Quality System regulations and ISO standards, including software lifecycle and risk management compliance. ClearRead Xray Pneumothorax is compatible with all upright and portable devices and integrates seamlessly with PACS, eliminating the need for a separate application viewer or additional logins. It performs robustly in the presence of common co-morbidities, including pleural effusion, atelectasis, lung opacities, pneumonia, and edema. The software is FDA-cleared and holds a CE Mark, ensuring its safety and effectiveness in clinical settings.

radiologists
clinicians
medical imaging professionals
healthcare providers
hospital staff
medical technicians
healthcare administrators
medical practitioners
healthcare organizations
medical facilities

Radiology
Pulmonology
Emergency Medicine
Thoracic Surgery
Critical Care
Internal Medicine
Cardiology
Oncology
Pneumology
Intensive Care
Pulmonary Medicine
Emergency Radiology
Trauma Care
Respiratory Medicine
Cardiothoracic Surgery
Vascular Surgery
Interventional Radiology
Pediatric Pulmonology
Geriatric Pulmonology
Sports Medicine

United States
Canada
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
Saudi Arabia
South Africa
Belgium
Netherlands
Sweden
Norway
Denmark
Finland
Switzerland
Austria
Japan

English Spanish French German Italian Dutch Portuguese Arabic Chinese Japanese Korean Russian Hindi Bengali Punjabi Telugu Marathi Tamil Urdu Gujarati

Triage notification for potential pneumothorax cases 5mm or larger

Seamless PACS integration without separate viewer or logins

High sensitivity and specificity across multiple devices and co-morbidities

PACS
GE Healthcare
Sectra
Siemens Healthineers
Volpara Health
Aidoc
Blackford Analysis
CARPL.AI
Nuance PowerScribe 360
Philips
Toyo International
Nuance
Fujifilm
TeraRecon
Change HC PACS
AGFA HealthCare
Calantic
CARPL.ai Marketplace

Windows/Linux server options; typical radiology workstation/browser for viewing

FDA 510(k)
CE Mark (MDR Class IIa)
TGA approval
HIPAA

FDA 510(k)
CE Mark (MDR Class IIa)
TGA approval
ISO 27001

data encryption in transit and at rest
role-based access control (RBAC)
audit logging
single sign-on (SSO) / SAML support

BAA available
consent management
anonymization
data minimization

US and international deployment options (on-prem or cloud region selection depending on customer); regional hosting available per contract


Summary: The Voluson P6 is a compact ultrasound system designed for obstetric and gynecological imaging, offering high-quality 2D and real-time 3D/4D imaging capabilities.

The Voluson P6 is a portable ultrasound system tailored for women's health applications, providing exceptional imaging quality for routine obstetric evaluations, gynecological studies, fertility assessments, and embryo transfers. It features a 17-inch high-resolution LCD monitor, three active probe ports, and advanced imaging technologies such as CrossXBeam for enhanced tissue resolution and Speckle Reduction Imaging (SRI) to improve image clarity. The system supports real-time 3D/4D imaging, facilitating detailed visualization of fetal anatomy and function. Its intuitive user interface and automatic optimization features streamline workflow, making it suitable for clinics and healthcare facilities seeking a cost-effective ultrasound solution.

Obstetrics Gynecology Fertility Embryology

United States
India
Europe
Asia
Australia

Contact GE Healthcare for pricing information.

United States
India
Germany
France
Spain
Australia
China
Japan
South Korea
Brazil

High-quality 2D imaging for routine gynecological and obstetric exams

Real-time 3D/4D capabilities for fertility assessments, embryo evaluations, and embryo transfers

CrossXBeam to enhance tissue resolution and differentiate interfaces

Speckle Reduction Imaging (SRI) to reduce image noise and improve clarity

HD-Zoom for easy localization of regions of interest for detailed examination

Automatic Optimization (AO) of image parameters for consistent quality without manual intervention

Intuitive user interface and simplified keyboard for quick and easy navigation

17-inch high-resolution LCD screen, providing clear and sharp visualization

Three active probe ports for maximum flexibility with different probes

Compatible with convex, linear, and endocavitary probes for a wide range of applications

Advanced optional software, such as SonoNT™, SonoAVC™, and SonoVCAD, for in-depth analysis

Compact and lightweight design, easy to install in restricted spaces

Integrated DVR module for recording and streaming exams in real-time

DICOM 3.0 connectivity for easy integration with other systems

Probe protection with a probe holder, ensuring durability and convenient positioning

Affordable software upgrade options, allowing the device to evolve with future needs

An excellent solution for clinics and healthcare facilities seeking a high-performance, cost-effective ultrasound

SonoNT™
SonoAVC™
SonoVCAD
STIC
Uterus VCI
IOTA
Omniview


Summary: SIGNA Hero is a 3T MRI scanner by GE HealthCare, designed to enhance imaging efficiency, patient comfort, and environmental sustainability.

The SIGNA Hero 3T MRI scanner offers advanced imaging capabilities with a 70 cm bore, deep-learning reconstruction algorithms, and intelligent applications to improve workflow and patient experience. It features AIR™ Coils for enhanced patient comfort and productivity, and utilizes intelligent magnet technology for reduced helium usage and energy consumption.

Neurology
Oncology
Orthopedics
Cardiology
Musculoskeletal
Abdominal Imaging
Pelvic Imaging
Vascular Imaging
Spinal Imaging
Breast Imaging
Prostate Imaging
Gastroenterology
Urology
Gynecology
Pediatrics
Geriatrics
Sports Medicine
Emergency Medicine
Trauma Care
Research Imaging

United States
Europe
Middle East
Asia
Africa
Australia
Canada
Mexico
Brazil
Argentina
Chile
Colombia
Peru
Venezuela
Ecuador
Paraguay
Uruguay
Bolivia
Guyana
Suriname

English French German Spanish Italian Portuguese Dutch Arabic Chinese Japanese Korean Russian Hindi Bengali Punjabi Telugu Marathi Tamil Urdu Gujarati

United States
United Kingdom
Germany
France
Italy
India
China
Japan
South Korea
Brazil

3.0T superconducting magnet with 70 cm bore

AIR™ Recon DL deep-learning reconstruction algorithm

AIR x™ and AIR Touch™ intelligent applications

Edison™ Imaging 360 digital ecosystem for expert support

Intelligent Magnet Technology for reduced helium usage

Energy-saving features for improved sustainability

AIR™ Recon DL 3D
PROPELLER imaging sequences

FDA 510(k) pending
CE Mark pending
IEC 60601 series
IEC 62304
ISO 10993-1
IEC 62464-1

Data encryption
Role-based access control (RBAC)
Audit logs
Secure network protocols

Data anonymization
Patient consent management
Data minimization


Summary: Quantib ND is an AI-powered software that automates brain structure segmentation and white matter hyperintensity detection in MRI scans, aiding radiologists in assessing brain atrophy and monitoring neurodegenerative diseases.

Quantib ND is an FDA-cleared and CE-marked solution designed to assist radiologists in evaluating brain MRI scans by automatically segmenting and quantifying brain structures and white matter hyperintensities (WMHs). It offers both single-time-point and longitudinal analyses to monitor brain atrophy and lesion development, providing comprehensive reports and DICOM series exports for seamless integration into radiology workflows.

Radiologists
Neurologists
Medical Imaging Professionals

Neurology
Radiology
Neurodegenerative Diseases
Dementia
Multiple Sclerosis

Netherlands
United States
Germany
France
United Kingdom

automatic segmentation of brain lobes and hippocampus

volumetric quantification of brain structures

white matter hyperintensity (WMH) detection and segmentation

longitudinal atrophy tracking and follow-up comparison

reference centile curves (population-based) for volume comparison

color-coded lesion visualization and overlays

editing tools for radiologist review and corrections

alignment/registration of serial MR images

PACS export/integration of results and reports

PACS
GE HealthCare
Nuance
DeepHealth
Erasmus MC
TeraRecon

installed on hospital premises behind hospital firewall; processes MR images locally (on-prem deployment) (details per site/local install)

on-prem processing (behind hospital firewall)

GDPR compliance (company privacy policy)

on-prem installation at hospital; local data processing (region determined by customer site)


Summary: Precise Image is an AI-driven image reconstruction software by Philips that enhances CT imaging by reducing radiation dose and noise while improving image quality and low-contrast detectability.

Precise Image utilizes deep-learning neural networks to simultaneously decrease radiation exposure by up to 80%, reduce image noise by 85%, and enhance low-contrast detectability by 60%, thereby boosting diagnostic confidence and patient care. It is integrated into Philips' CT systems, including the Incisive CT and CT 5300 models, and is part of the CT Smart Workflow suite, which also features AI-enabled patient positioning and motion-free cardiac imaging.

clinicians
radiologists
medical imaging technicians

Cardiology
Oncology
Neurology
Trauma Care
Bariatrics
Interventional Radiology

United States
Europe
Asia
Middle East
Africa
Australia
Canada
Latin America

English German French Spanish Italian Dutch Chinese Japanese Korean Arabic Russian Portuguese Hindi Turkish Thai Vietnamese Indonesian Polish Romanian Hungarian

Contact Philips for pricing information.

Netherlands
United States
Germany
China
India
Japan
United Kingdom
France
Italy
Brazil

Clinical information lifecycle management

Clinical data analytics
Advanced reporting tools
Data visualization dashboards
AI-powered image analysis
Patient data integration
Cloud storage integration
Disaster recovery solutions
Data migration services
User access management
Audit trail logging

Picture Archiving and Communication Systems

FHIR
HL7 v2
DICOM
SNOMED
ICD-10
LOINC
CPT
ICD-9
HL7 CDA
HL7 CCD

Windows Server 2016 or later
Linux (CentOS 7 or later)
Minimum 16 GB RAM
Minimum 500 GB storage
10 Gbps Ethernet connection
VMware ESXi 6.5 or later
Microsoft SQL Server 2017 or later
Oracle Database 12c or later
Apache Tomcat 9.0 or later
Java 8 or later

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewall
IDS/IPS
VPN
Endpoint security

BAA available
Consent management
Anonymization
Data minimization
Data masking
Access controls
Data retention policies
Data destruction policies
User activity monitoring
Data breach notification

Chelsea FC
Banijay UK
FINA
PAC12 schools
Military Charity

They are very keen to improve the platform and listen to our comments. Also, the support service is excellent and fixes issues very quickly. I think the service is very adaptive and can cater to each client's needs, which we like a lot.

The ability to media log files on the platform has made it easier for PAC12 schools to search and download files. The user-friendly platform has taken a load off of our production departments which in the past would send files to our schools manually. Account Managers and Support Teams are always available.

The public facing software is simple to use but provides superior technical results. Their team care about your customers as much as you do and strive to improve their product every day to maximise your content's potential. The flexibility of the software and the inbuilt functionality makes it a 'one-stop-shop' for us, we no longer require different software packages to produce the final product, it's all integrated into the one reliable, secure platform.

Easy to use support system with a quick response time. User friendly from a technician's viewpoint and as well as the end user's. Imagen is happy to hear feedback and ideas for new features etc.

Imagen listens and understands our long term objectives and is keen to assist in our success. They also understand our commercial offering and limitations as a Military Charity.


Summary: TOMTEC-ARENA is a comprehensive cardiovascular imaging solution offering automated analysis and reporting across multiple modalities, enhancing diagnostic confidence and workflow efficiency.

TOMTEC-ARENA is a suite of clinical applications designed to review, analyze, and quantify medical image data in multiple dimensions (2D, 3D, and 4D) and modalities, including ultrasound, angiography, magnetic resonance (MR), and nuclear medicine. It integrates automated solutions for 2D and 3D volume measurements and strain imaging, providing highly reproducible and reliable results to support clinical decision-making processes. The software is available as a standalone workstation or network configuration and can be integrated into existing hospital IT infrastructures without adding complexity for the IT department. It is also available as an integrated version within many picture archiving and communication systems (PACS) and electronic medical record (EMR) systems on the market without the need for a separate server. ([itnonline.com](https://www.itnonline.com/content/tomtec-receives-fda-510k-clearance-tomtec-arena-software?utm_source=openai))

clinicians
radiologists
cardiologists
medical imaging professionals

Cardiology
Radiology
Vascular Imaging
Nuclear Medicine
Magnetic Resonance Imaging

United States
Germany
Europe
Asia
Australia
Canada
South America
Africa
Middle East
India

English German French Spanish Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Turkish Polish Swedish Norwegian Danish Finnish Greek

Germany
United States
France
United Kingdom
Italy
Spain
Netherlands
Switzerland
China
Japan

Automated clinical tools for cardiovascular imaging

Integrated clinical practice and advanced analysis tools

Comprehensive image review and measurement

Side-by-side comparison of current and prior studies

Measurement modules for echocardiography, vascular, and X-ray angiography

Smart link between measurement and image

Cardiovascular measurement packages for 2D echo, M-Mode, and Doppler studies

Control for completeness of measurement data

AutoLV for biplane left ventricular volume quantification

AutoLA for biplane left atrial volume quantification

AutoIMT for intima-media thickness analysis

2D Strain for global and regional assessment of myocardial mechanics

4D LV-ANALYSIS for 3D quantification of left ventricular volume and function

4D RV-FUNCTION for quantification of right ventricular volumes, function, and strain

4D CARDIO-VIEW for generic three-dimensional software solution

4D MV-ASSESSMENT for comprehensive assessment and quantification of mitral valve anatomy and function

AutoSTRAIN for quantification of global and regional function, including longitudinal strain

4D SONO-SCAN for comprehensive review and analysis of multi-vendor 4D radiological ultrasound data

4D Cardio-View for vendor-independent offline solution to review and analyze 3D echo data

Measurement Mapping Service for standardizing diverse DICOM SR formats into a defined DICOM format

PACS
CVIS
EMR
ECG
IVUS
IVOCT/OCT
NM
Stress Echo Systems
3D Echo Data Sources
Measurement Devices
Reporting Systems
Research Databases
Clinical Decision Support Systems
Hospital Information Systems
Laboratory Information Systems
Patient Monitoring Systems
Imaging Modalities
Data Repositories
Clinical Trial Management Systems
Medical Device Interfaces

DICOM
HL7
FHIR
ICD-10
SNOMED CT
LOINC
CPT
ICD-9
NDC
HCPCS

Windows Server, Linux Server, macOS Server, Intel Xeon Processor, 16 GB RAM, 500 GB HDD, 1 Gbps Network

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
Firewall
Intrusion Detection System
Data Masking
Access Control

BAA available
Consent Management
Anonymization
Data Minimization
Data Retention Policy
Data Access Control
Data Encryption
Data Masking
Data Segregation
Data Deletion Policy

EU-only, US/EU regions, BYO cloud region


Summary: EchoGo Core is an AI-powered platform that automates echocardiography analysis, providing rapid and accurate cardiac diagnostics to support clinicians in diagnosing heart conditions.

EchoGo Core is an AI-driven software solution developed by Ultromics to automate the analysis of echocardiogram images. It measures key cardiac parameters such as ejection fraction, global longitudinal strain, and left ventricular volumes, delivering quantitative reports that assist clinicians in diagnosing heart conditions. The platform is designed to enhance diagnostic accuracy, reduce variability, and improve workflow efficiency in clinical settings. EchoGo Core is FDA-cleared and CE-marked, ensuring its safety and effectiveness for use in adult populations. It is compatible with various ultrasound devices and integrates seamlessly into existing clinical workflows, offering a cloud-based service that eliminates the need for manual contouring and reduces operator dependency. The platform has been validated through multiple studies, demonstrating its reliability and precision in cardiac diagnostics.

Clinicians
Cardiologists
Medical Imaging Technologists
Healthcare Providers

Cardiology
Echocardiography
Heart Failure
Coronary Artery Disease
Cardiac Amyloidosis

United States
European Union
United Kingdom
Australia
Asia

English Spanish French German Italian Portuguese Dutch Swedish Danish Norwegian Finnish Polish Czech Hungarian Romanian Bulgarian Greek Turkish Russian Chinese Japanese

United Kingdom
United States
Australia
Germany
France
Spain
Italy
Netherlands
Sweden
Denmark

locally virtualized (virtual machine, Docker)

Automated echocardiography quantification (LV volumes, LVEF)

Automated global longitudinal strain measurement

Stress-echocardiography CAD detection (EchoGo Pro module)

AI-driven diagnostic decision support and risk scores

Vendor-neutral DICOM ingest and PACS connectivity

Automated report generation (cloud-based)

Batch processing / high-throughput analysis

Clinical analytics and outcomes reporting

Quality control and image triage assistance

Clinician user interface with visual overlays and measurements

EchoGo Pro (stress-echo CAD detection)
EchoGo Amyloidosis
EchoGo Heart Failure (HFpEF detection)

Hospital EHR / EMR systems (via integration)

Clinical workflow systems / reporting viewers

Modern web browser; cloud-hosted service (no on-prem server required for SaaS use)

HIPAA
GDPR
UK Data Protection regulations

FDA 510(k) clearance
CE mark
ISO 27001
ISO 13485

Data encryption in transit and at rest
Role-based access control (RBAC)
SSO/SAML support
Audit logging
Multi-factor authentication (MFA/2FA)

Patient data minimization and de-identification support for research

Cloud regions available (UK/EU and US cloud hosting options)


Summary: HealthPPT is an AI-powered software tool developed by Zebra Medical Vision to assist radiologists in detecting signs of pneumoperitoneum in adult frontal chest X-rays, enhancing workflow efficiency and prioritizing urgent cases.

HealthPPT is an FDA-cleared software tool that utilizes artificial intelligence to automatically detect signs suggestive of pneumoperitoneum in adult frontal chest X-rays. It integrates seamlessly into existing radiology workflows, providing low-resolution preview images to prioritize urgent cases without altering original images. The tool is designed to aid clinical assessment by highlighting suspicious cases for prompt review, though it is not intended for diagnostic use or to replace clinical decision-making. HealthPPT was cleared by the FDA on December 15, 2021, under 510(k) number K211803.

Radiologists
Healthcare Professionals
Medical Imaging Specialists
Clinical Decision-Makers

Radiology
Emergency Medicine
Trauma Care
Critical Care
Surgical Care
Intensive Care
Pulmonology
Gastroenterology
General Surgery
Emergency Medical Services

United States
Europe
Asia
Australia
Canada
South America
Africa
Middle East
Global

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Bengali Punjabi Urdu Turkish Vietnamese Thai Polish

Israel
United States
United Kingdom
Germany
India
China
Japan
Australia
Canada
France

Clinical communication and collaboration

Epic
Cerner
Meditech
Allscripts
NextGen
athena
GE
eClinicalWorks
McKesson
PointClickCare
Connexall
Mesh AI
Zebra Technologies

Major OS/DB/hardware needs, or empty if SaaS-only

Hosting/region options (e.g., EU-only, US/EU regions, BYO cloud region)

Emergent Connect
Nuance Communications
Google Cloud
Emergent Connect's Exceed PACS users
Emergent Connect's Exceed RIS users

The people are great and fun to work with

Best people, great mission, great technology

Great people, great solutions to impact patient care

The team is assembled by super professional people. Vibe is very family-like, we often ate lunch together

73% would recommend to a friend (Glassdoor)


Summary: Cydar EV Maps is an AI-driven software solution that enhances minimally invasive endovascular surgeries by providing 3D patient-specific maps for planning, navigation, and post-operative analysis.

Cydar EV Maps leverages cloud-based AI technology and data fusion to assist clinicians in creating detailed 3D maps of soft tissue, improving surgical precision and patient outcomes. It integrates pre-operative planning, intra-operative guidance, and post-operative review, aiming to reduce radiation exposure, procedure times, and contrast agent usage. The software is certified as a Software-as-a-Medical Device with CE Mark approval and FDA 510(k) clearance, and is available in the European Union, United Kingdom, and United States. Cydar Medical, founded in 2012 and headquartered in Cambridge, UK, has established strategic collaborations with Brainlab and Medtronic to advance endovascular aortic care using AI technology.

Clinicians
Surgeons
Medical Professionals

Endovascular Surgery
Aortic Surgery
Vascular Surgery

European Union
United Kingdom
United States

3D surgical planning with AI-enhanced vessel measurements

Automatic volume assessment from CT scans

Live screen sharing for intraoperative support

Companion app for iOS and Android with 2FA authentication

Toolset selection for specific surgical procedures

Access to hospital vault and Cydar ecosystem features via smartphone

Notification alerts for task completions and status updates

Secure remote upload links for zip files

Efficient workflow with automated volume calculations

Ease of access to hospital vault and Cydar ecosystem features

Advanced analytics with interactive dashboards

PACS systems
Cydar ecosystem
Hospital IT infrastructure

FDA 510(k)
CE/MDR
ONC
ISO 27001
ISO 27701

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: EndoScreener is an AI-assisted software developed by Chengdu Wision Medical Device Co. to enhance polyp detection during colonoscopy procedures, aiming to improve early colorectal cancer detection rates.

EndoScreener is a computer-assisted detection software that automatically identifies and highlights potential polyps during colonoscopy procedures. It processes the live video feed from the colonoscope and overlays blue boxes on suspected polyps, alerting the physician in real-time to improve polyp detection and assist clinical decision-making during colonoscopy in adults. The device's deep learning algorithm was validated on multiple datasets, including 1,138 polyp patients with histological confirmation, showing expected sensitivity and specificity. Clinical performance was assessed in a multi-center randomized controlled trial with 223 patients, demonstrating significantly lower adenoma miss rates and higher adenomas per colonoscopy when using EndoScreener. The device caused no imaging degradation and minimal latency. EndoScreener is compatible with most mainstream endoscope systems and can be deployed with high flexibility in various clinical environments for colonoscopy.

Real-time automatic polyp detection during colonoscopy

Visual notifications and sound alarms for polyp detection

Compatible with most mainstream endoscope systems

Software-only medical device with economical total cost of ownership

High flexibility in deployment across various clinical environments

Histopathology AI software for high-grade dysplasia localization

Endoscope systems
Colonoscopy video streams

Standard computer hardware compatible with endoscope systems


Summary: Soteria.AI is an AI-powered imaging system by Omega Medical Imaging, designed to enhance cardiac care by reducing radiation exposure and improving image quality in interventional procedures.

Soteria.AI integrates FluoroShield™, an AI-driven technology that minimizes X-ray exposure for patients and staff, with advanced imaging capabilities to deliver high-quality, precise diagnostic images. Its compact design and user-friendly features make it suitable for various cardiac catheterization labs, aiming to improve patient safety and procedural efficiency.

cardiologists
radiologists
medical imaging technicians
hospital administrators

Cardiology
Interventional Cardiology
Vascular Imaging
Diagnostic Imaging

English Spanish French German Italian Portuguese Chinese Japanese Korean Arabic

FluoroShield™: AI-powered radiation reduction

DICOM
HL7 v2
HL7 v3
FHIR
SNOMED CT
ICD-10
LOINC
CPT
ICD-9
NDC

Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), Intel Xeon processor, 16 GB RAM, 1 TB HDD

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
Firewall
Intrusion Detection System
Data Masking
Access Control Lists

BAA available
Consent Management
Anonymization
Data Minimization
Data Retention Policy
Data Access Controls
Data Encryption
Data Masking
Data Segregation
Data Integrity Checks


Summary: ILR ECG Analyzer is an AI-driven software that enhances arrhythmia detection by reducing false positives in ECG data from Medtronic implantable loop recorders, improving remote monitoring efficiency for healthcare providers.

ILR ECG Analyzer is an FDA-cleared Class II medical device developed by Implicity to analyze ECG recordings from patients implanted with Medtronic implantable loop recorders (ILRs). Utilizing artificial intelligence, it reduces false positives by 79% while maintaining a sensitivity of 99%, thereby improving arrhythmia detection and allowing healthcare providers to focus on meaningful cardiac events. This software is intended for use by qualified healthcare professionals for the assessment of arrhythmias in Insertable Cardiac Monitor (ICM) ECG data. It supports downloading and analyzing data recorded in compatible formats from ICMs, specifically Medtronic models LNQ11, REVEAL XT 9529, and REVEAL DX 9528. The ILR ECG Analyzer provides ECG signal processing and analysis to detect asystole, bradycardia, atrial tachycardia or atrial fibrillation, ventricular tachycardia, normal rhythm, and artifacts. It is not for use in life-supporting or sustaining systems or ECG monitor and alarm devices. The interpretation results are intended to be used in conjunction with the physician’s knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information. The software is interfaced with compatible remote monitoring platforms to receive ICM data file input and transmit the output for viewing by healthcare professionals. The ILR ECG Analyzer is CE marked as a Class I medical device under the Medical Device Directive 93/42.

Clinicians
Electrophysiologists
Cardiologists
Healthcare Providers

Cardiology
Electrophysiology
Arrhythmia Management

Interfaces with remote monitoring platforms

InLink
AF Alert Management
Patient Connectivity Management
Heart Failure Remote Monitoring
Advanced Research Tool

Medtronic Reveal LINQ
Medtronic Reveal XT
Medtronic Reveal DX
Remote monitoring platforms

ECG data formats compatible with Medtronic ILRs

FDA 510(k) clearance
CE marking under MDD 93/42/EEC

Data encryption
Secure data transmission

Compliance with data privacy regulations


Summary: Elekta's Advanced Algorithms for Treatment Management Applications (AATMA) is a comprehensive suite of oncology software solutions designed to enhance treatment planning, adaptive radiotherapy, and quality assurance through advanced algorithms and AI integration.

AATMA encompasses Elekta ONE Planning, Elekta ONE Online, and Machine QA, offering protocol-based treatment management, automated planning tools, and intuitive quality assurance solutions to drive consistency and elevate care standards across healthcare facilities.

Clinicians
Physicists
Radiation Therapists
Medical Physicists
Oncologists

Radiation Oncology
Medical Physics
Oncology Informatics

Sweden
United States
United Kingdom
Germany
France
Japan
China
India
Australia
Brazil

Paperless charting
Secure cloud hosting
Mobile and tablet app
Smarter chart automation
Protocol-driven workflow tool
AI voice notation
Patient engagement
Operational data dashboards
Patient data dashboards

Advanced analytics
Predictive modeling
Clinical decision support
Remote patient monitoring
Telemedicine integration
Clinical trial management
Patient portal
Billing and coding
Inventory management
Scheduling and appointment management

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Patient monitoring devices
Telemedicine platforms
Clinical trial management systems
Patient portals
Imaging systems
Laboratory equipment
Radiology information systems
Electronic prescribing systems
Medical devices
Wearable health devices
Health information exchanges
Clinical decision support systems
Remote patient monitoring devices

FHIR
HL7 v2
DICOM
SNOMED
ICD-10
LOINC
CPT
ICD-9
NDC
RxNorm

Automated security detection and response

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data access controls
Data de-identification
Data masking
Data retention policies
Data sharing policies


Summary: StrokeSENS LVO is an AI-powered software that analyzes CT angiograms to detect large vessel occlusions, aiding clinicians in acute stroke management by providing real-time notifications and prioritizing urgent cases.

StrokeSENS LVO is a radiological computer-aided triage and notification software developed by Circle Neurovascular Imaging. It utilizes artificial intelligence to analyze CT angiography (CTA) head images, identifying suspected large vessel occlusions (LVOs) in patients with acute ischemic stroke. The software integrates seamlessly into existing radiological environments, offering real-time notifications and advanced visualizations to assist clinicians in promptly managing stroke cases. It is FDA-cleared and CE-marked, ensuring compliance with regulatory standards for medical devices. StrokeSENS LVO is available in multiple countries, including the United States, European Union, United Kingdom, Canada, and Australia, and supports integration with various AI platforms and distribution channels. The software is offered through subscription and one-time license fee pricing models, based on the number of analyses or installations. Circle Neurovascular Imaging, the company behind StrokeSENS LVO, was founded in 2007 and has offices in multiple countries, including Canada and the United States.

Clinicians
Radiologists
Neurologists
Emergency Physicians

United States
European Union
United Kingdom
Canada
Australia

Based on the number of analyses or installations; contact vendor for specific pricing information.

Canada
United States
United Kingdom
Australia
Germany
France
Italy
Spain
Netherlands
Belgium

Automated detection of large vessel occlusions (LVO) on CT angiography

ASPECTS scoring for acute ischemic stroke assessment

Visualization of perfusion deficits on multiphase CTA

Real-time notifications for suspected LVO cases

Integration with existing radiological environments

Vendor-agnostic compatibility with various PACS systems

Enhanced clinical workflow through AI-driven insights

Support for communication and collaboration across stroke teams

StrokeSENS ASPECTS
StrokeSENS mCTA Perfusion

PACS
GE FastStroke software package
Siemens Healthineers platforms

HIPAA
FDA 510(k) clearance
CE Mark (MDD Class IIa)

Encryption
Audit logs
Role-based access control (RBAC)


Summary: VBrain is an FDA-cleared AI-powered solution that automates brain tumor auto-contouring, enhancing precision and efficiency in radiation therapy planning.

VBrain applies auto-contouring to the three most common types of brain tumors: brain metastasis, meningioma, and acoustic neuroma. It generates fully automated contours in one minute, reducing hours of manual contouring to a few minutes, thereby optimizing workflow and increasing productivity. Clinical studies have shown a 12.2% increase in lesion detection sensitivity and a 30.8% reduction in treatment planning time when clinicians use VBrain. The solution has been integrated with various treatment planning systems and is available in the U.S., Japan, and Taiwan.

Radiation Oncologists
Medical Physicists
Clinical Researchers

Radiation Oncology
Neuro-oncology
Medical Imaging

Automated contour generation in one minute

Optimized radiotherapy treatment planning

FDA clearance
HIPAA compliance
GDPR compliance
ISO 27001 compliance
SOC 2 Type 2 compliance

FDA 510(k) clearance
ISO 27001
SOC 2 Type 2

End-to-end encryption
Role-based access control
Multi-factor authentication
Audit logs
Zero Trust Security
Distributed Edge Security
AWS infrastructure security

HIPAA compliance
GDPR compliance
Data anonymization
Data minimization
Consent management


Summary: EYE-SYNC is a portable, FDA-cleared eye-tracking technology that aids in concussion diagnosis by providing rapid, objective assessments of eye movement and visual tracking impairments.

EYE-SYNC is a non-invasive, mobile, virtual reality-based eye-tracking platform designed to support clinicians in patient assessment, monitoring recovery, and enhancing dynamic visual performance. It offers a 60-second assessment to evaluate ocular-motor impairments and vestibular balance dysfunction, delivering results in under a minute. The technology is utilized by leading medical institutions and sports organizations, including Stanford University and the XFL, to improve concussion management and brain health monitoring. EYE-SYNC has received FDA clearance as an aid to concussion diagnosis and visual impairment detection, and it has been recognized with awards such as the MedTech Breakthrough Award for Best New Technology Solution for Monitoring. The platform is also CE-marked for commercialization in Europe. EYE-SYNC is available in the United States and Europe, with plans for further expansion. It supports English and other languages, depending on regional requirements. The pricing model is subscription-based, with details available upon request. The company, NeuroSync, was founded in 2009 and has offices in the United States and Europe.

clinicians
athletes
patients
sports organizations
medical institutions

Neurology
Sports Medicine
Concussion Management
Visual Health
Vestibular Disorders

English Spanish French German Italian Portuguese Dutch Swedish Norwegian Danish Finnish Polish Czech Hungarian Romanian Bulgarian Greek Turkish Russian Ukrainian

United States
United Kingdom
Germany
France
Italy
Spain
Netherlands
Sweden
Norway
Denmark

FDA-cleared assessment battery for eye movement analysis

Rapid 60-second assessments for concussion diagnosis support

Portable and lightweight design for versatile use

Proprietary analytics for objective data interpretation

Real-time insights with immediate post-assessment results

Exportable results via PDF or secure data transfer through API

High test-retest reliability (0.9) for consistent measurements

Wireless Virtual Reality-based platform for ease of use

Comprehensive training and certification for providers

Integration with electronic medical records (EMRs)

Support for therapeutic purposes to improve eye tracking performance

Validated over 15 years with 23 peer-reviewed publications

Validated in collaboration with the US Department of Defense and the Brain Trauma Foundation

CE Mark certification for commercialization in the European Union and the United Kingdom

HIPAA-compliant cloud storage for data security

Multi-modal platform to improve access to neurological care

No contraindications for use in patients with complete vision loss without corrective lenses

Therapeutic eye tracking performance improvement modules

Compatible with VR headsets, Android and iOS devices, Windows, macOS, and Linux systems

Temporary meeting links for minimal attack surface

BAA available
Consent management
Anonymization
Data minimization


Summary: SubtlePET is an AI-powered software that enhances PET imaging by reducing scan times and improving image quality, leading to faster and more comfortable patient experiences.

SubtlePET utilizes deep learning algorithms to denoise low photon count PET scans, enabling up to 75% faster imaging without compromising diagnostic accuracy. It integrates seamlessly with existing PET scanners, enhancing workflow efficiency and patient throughput. The software is FDA-cleared and CE-marked, demonstrating its safety and effectiveness in clinical settings. SubtlePET is compatible with various PET tracers, including 18F-FDG and 68Ga-PSMA-11, and has been adopted by multiple imaging centers worldwide to improve patient care and operational efficiency.

clinicians
radiologists
imaging technicians
hospital administrators

Oncology
Neurology
Cardiology
Infectious Diseases
Orthopedics
Pulmonology
Gastroenterology
Endocrinology
Hematology
Urology
Pediatrics
Geriatrics
Emergency Medicine
Internal Medicine
Family Medicine
Vascular Medicine
Rheumatology
Dermatology
Allergy And Immunology
Pulmonary Medicine

United States
European Union
Australia
Canada
Japan
South Korea
China
India
Brazil
Mexico
South Africa
Russia
United Kingdom
France
Germany
Italy
Spain
Netherlands
Sweden
Norway
Denmark

English Spanish French German Italian Portuguese Dutch Swedish Norwegian Danish Finnish Russian Chinese Japanese Korean Hindi Arabic Turkish Polish Czech

Improved image quality for low photon count PET acquisitions

Compatibility with GE and Siemens PET scanners

Integration with existing DICOM/PACS infrastructures

GE PET scanners
Siemens PET scanners
DICOM/PACS systems

DICOM network connectivity to PACS; edge appliance runs on Linux; cloud SaaS option available; firewall/DICOM port access required

HIPAA
SOC 2 Type II
ISO/IEC 42001
FDA 510(k)
CE Mark

TLS encryption in transit
Encryption at rest
Role-based access control (RBAC)
Audit logging
SSO/SAML support
Two-factor authentication (2FA)

Business Associate Agreement (BAA) available

Data minimization/anonymization options for research workflows

Global deployments with region options (US and EU hosting/enterprise on-prem appliance or hybrid deployments)


Summary: Paige Prostate is an FDA-approved AI-powered pathology solution that enhances the accuracy and efficiency of prostate cancer diagnosis in needle biopsies.

Paige Prostate leverages clinical-grade AI to assist pathologists in detecting prostate cancer, reducing diagnostic errors by an average of 70% in a cohort of 16 first-time users. It has been validated on slides from over 200 institutions, demonstrating robust performance without the need for tuning or recalibration. The solution is compatible with various scanners and can be rapidly deployed without additional hardware requirements.

AI-assisted detection of prostate cancer in H&E-stained whole-slide images

FDA-approved for in vitro diagnostic use

Enhanced diagnostic accuracy with reduced false negatives and positives

Compatible with various whole-slide imaging scanners

Rapid deployment without additional hardware requirements

Validated on slides from over 200 institutions globally

Supports pathologists in both specialist and non-specialist settings

Improves efficiency in prostate cancer diagnosis workflows

Paige Prostate Grade & Quantify
Paige Prostate Perineural Invasion
Paige Prostate Biomarker Panel

ZayaAI Laboratory Information System (LIS)

BAA available
Consent management
Data anonymization

University Hospitals Coventry and Warwickshire

Oxford University Hospitals NHS Foundation Trust

I was skeptical about Paige Prostate, but it worked wonders for me. After a month of use, I noticed a reduction in bathroom visits and more energy overall. Definitely recommend it.

Started using Paige Prostate, and I’m starting to see improvements. It’s a bit slow, but I’m optimistic.


Summary: Canon's Intelligent NR is an AI-driven software that enhances digital radiography by reducing image noise, leading to clearer diagnostic images and potential dose reduction for patients.

Intelligent NR is Canon's proprietary AI technology that utilizes deep learning to process approximately 3,000 X-ray images from the CXDI series, effectively reducing image noise by up to 50% compared to conventional methods. This results in high-quality diagnostic images with less graininess and no noticeable loss of detail, even in low-dose regions, benefiting all patients, including infants and pediatric cases where dose reduction is crucial. The technology is compatible with Canon's CXDI series of digital radiography devices, including models like CXDI-710C Wireless, CXDI-810C Wireless, CXDI-410C Wireless, CXDI-720C Wireless, CXDI-820C Wireless, CXDI-420C Wireless, and CXDI-420C Fixed. Intelligent NR is available as a software option for these devices, enhancing their imaging capabilities and supporting better-quality diagnoses in medical settings.

radiologists
clinicians
medical imaging technicians

Radiology
Pediatrics
Orthopedics
Cardiology
Neurology
Oncology
Pulmonology
Gastroenterology
Urology
Gynecology
Traumatology
Vascular Surgery
Cardiothoracic Surgery
Neurosurgery
Gastrointestinal Surgery
Urological Surgery
Gynecological Surgery
Pediatric Surgery
Emergency Medicine

United States
Japan
Europe
Asia
Australia
Canada
South America
Africa
Middle East
India
China
South Korea
Southeast Asia
Russia
New Zealand
Mexico
Central America
Caribbean
Eastern Europe
Scandinavia

English Japanese German French Spanish Italian Portuguese Dutch Russian Chinese Korean Arabic Hindi Bengali Punjabi Javanese Telugu Vietnamese Turkish Thai

Japan
United States
Germany
France
United Kingdom
Italy
Spain
Netherlands
China
India

Data orchestration for DICOM and non-DICOM data

Clinical applications for neurology, oncology, and cardiovascular imaging

Predictive analytics for operational and financial decision-making

Enterprise imaging solutions for managing clinical imaging and multimedia content

Scalable infrastructure supporting growth and technological changes

Opportunity Navigator for financial insights

EHR systems
PACS systems
Analytics platforms


Summary: ClariSIGMAM is an AI-powered software solution that accurately assesses breast density from standard digital mammograms, aiding in breast cancer risk evaluation.

ClariSIGMAM is a breast density assessment solution developed by ClariPi Inc. It utilizes deep learning technology to analyze fat and glandular tissue composition in mammograms, providing precise and consistent density estimates. The software is fully automated, offering a smart workflow that simplifies compliance with breast density notification laws. It is compatible with multi-vendor full-field digital mammography (FFDM) scanners and integrates seamlessly with digital mammography and PACS systems. ClariSIGMAM has achieved a 97% accuracy rate in breast density estimation, as confirmed in published studies. It is FDA 510(k) cleared and CE certified, ensuring its safety and efficacy for clinical use. The software is intended to assist radiologists in assessing breast tissue composition, thereby aiding in breast cancer risk evaluation. ClariSIGMAM is available for purchase through ClariPi's distribution channels, including Calantic, Blackford, deepcOS, and Eureka Clinical AI. Pricing models include pay-per-use, subscription, and one-time license fees, based on the number of installations or analyses. ClariPi Inc., founded in 2015, is a South Korea-based company specializing in AI-driven medical imaging solutions. The company has offices in South Korea and the United States, with plans for global expansion. ClariSIGMAM is marketed and supported in multiple countries, including the United States, South Korea, and several European nations. The software supports multiple languages, including English, Korean, and Spanish, to accommodate a diverse user base. ClariSIGMAM is available through various pricing models, including pay-per-use, subscription, and one-time license fees, with pricing details available upon request. The software is licensed under commercial terms, with proprietary rights held by ClariPi Inc.

United States
South Korea
European Union
Canada
Australia
Japan
China
India
Brazil
Mexico
South Africa
Russia
United Kingdom
France
Germany
Italy
Spain
Netherlands
Belgium
Sweden
Norway

English Korean Spanish French German Italian Portuguese Dutch Swedish Norwegian Danish Finnish Polish Russian Chinese Japanese Arabic Hindi Bengali

Pricing models include pay-per-use, subscription, and one-time license fees, based on the number of installations or analyses. Contact ClariPi for detailed pricing information.

Automated breast density analysis from digital mammograms

Quantification of breast and glandular areas

Color overlay reports for AI-predicted tissue types

Compatibility with multi-vendor FFDM scanners

Simplified compliance with breast density notification laws

PACS systems
Digital mammography systems
RIS
CIS

FDA 510(k) cleared
CE certified
MDD Class I
ISO/IEC 27001:2022 certified
ISO/IEC 27018 certified
SOC 2 Type 2 attested

Protected links with 256-bit AES encryption

Data subject access and deletion request automation


Summary: Aquilion Exceed LB is a wide-bore CT scanner designed to enhance radiation oncology workflows with precise patient positioning and advanced imaging technologies.

The Aquilion Exceed LB offers a 90 cm wide bore for easy patient positioning, integrating AI-based imaging technologies and advanced treatment-specific features to improve radiation oncology workflows without compromising patient position, image quality, or reproducibility. It supports dual-energy imaging, respiratory motion management, and CT-guided interventions, aiming to enhance clinical capabilities and patient care.

radiologists
oncologists
medical physicists
radiologic technologists

Oncology
Radiology
Interventional Radiology

English Spanish French German Italian Japanese Chinese Korean Portuguese Russian

United States
Japan
Germany
United Kingdom
France
Italy
China
India
Australia
Brazil

90 cm extended field-of-view reconstruction

Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction

Adaptive Iterative Dose Reduction 3D (AIDR 3D)

Compact gantry design for easy installation

Edge-to-edge extended field-of-view reconstruction

Fast installation with minimal disruption


Summary: AmCAD-UT® is an AI-driven ultrasound computer-aided detection system designed to assist physicians in evaluating thyroid nodules for malignancy risk, enhancing diagnostic accuracy and efficiency.

AmCAD-UT® utilizes patented image analysis technology to process 2D ultrasound images, quantifying and visualizing sonographic features of thyroid nodules. It analyzes characteristics such as hyperechoic foci, echogenicity, texture, margin, anechoic areas, height/width ratio, tumor shape, and tumor size, providing both visual and quantitative data to support diagnostic decisions. The system is compatible with all ultrasound systems and offers automated nodule recognition, adhering to global guidelines for effective patient management. It has received FDA 510(k) clearance, CE mark, TFDA, and CFDA certifications, ensuring its safety and efficacy. Additionally, AmCAD-UT® has been recognized with the Taiwan Excellence Award, highlighting its innovative contribution to medical imaging. ([amcadbiomed.com](https://www.amcadbiomed.com/product/ut?utm_source=openai))

United States
European Union
Taiwan
China

Image calibration compatible with all ultrasound systems

Quantification and visualization of sonographic features

Recommendation based on global guidelines

Advanced analytics
Integration with AI marketplaces
Stand-alone web-based deployment

PACS
AI marketplace platforms
Dedicated hardware systems

Dedicated hardware, cloud-based infrastructure

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
EU MDR


Summary: AI Segmentation is an AI-driven tool by Varian that automates organ delineation in radiation therapy planning, enhancing efficiency and consistency.

AI Segmentation is an AI-powered tool developed by Varian to automate the identification and outlining of organs and other structures within diagnostic images, significantly reducing the time required for radiation therapy treatment planning. It integrates seamlessly with Varian's Eclipse treatment planning system, offering a cloud-hosted, web-based solution that can decrease contouring time by up to 80% compared to manual methods. This tool aims to improve the consistency and reproducibility of critical structure delineation, thereby enhancing the overall quality and efficiency of radiation therapy treatments. As of now, AI Segmentation is not available for sale in the U.S., and its future availability cannot be guaranteed.

Clinicians
Radiation Therapists
Medical Physicists
Oncologists

Radiation Oncology
Medical Imaging
Cancer Treatment Planning

United States
Europe
Asia
Australia
Africa
South America
Canada
Mexico
India
China

Automated delineation of tumors and organs

Integration with treatment planning systems

High accuracy and precision in segmentation

Scalable architecture for large datasets

Cloud-based storage and processing options

Compliance with medical device regulations

Continuous model updates and improvements

Advanced visualization tools for segmented images

Data anonymization features for patient privacy

Integration with electronic health records (EHR)

Advanced analytics for segmentation performance

Epic
Cerner
PACS
EHR systems
Treatment planning systems
Cloud storage services
Medical imaging devices
Laboratory information systems
Patient management systems
Clinical decision support systems
Radiology information systems
Health information exchanges
Medical billing systems
Patient portals
Clinical trial management systems
Medical device connectivity platforms
Healthcare data warehouses
Clinical research databases
Medical transcription services
Healthcare analytics platforms

DICOM
HL7
FHIR
ICD-10
SNOMED CT
LOINC
CPT
NDC
ICD-9
HL7 CDA

Windows Server 2016 or later, 16 GB RAM, 500 GB HDD, 1 Gbps network connection

Secure software development lifecycle (SDLC)

Compliance with data protection regulations


Summary: RBknee is an AI-powered software developed by Radiobotics that automates the analysis of knee X-rays to assist in diagnosing knee osteoarthritis, providing objective measurements and standardized grading to support medical professionals in evaluation and treatment planning.

RBknee utilizes machine learning algorithms to analyze digital knee X-rays, identifying radiographic signs associated with osteoarthritis, such as joint space narrowing, osteophytes, and subchondral sclerosis. It measures joint space width in both knee compartments and provides standardized grading based on Kellgren-Lawrence criteria, aiding clinicians in accurate diagnosis and treatment decisions.

clinicians
radiologists
orthopedic surgeons

Orthopedics
Radiology
Musculoskeletal Disorders

Automated detection of knee osteoarthritis (OA) on X-rays

Identification of osteophytes, subchondral sclerosis, and joint space narrowing

Generation of OA grading reports based on the Kellgren-Lawrence scale

Integration with standard reading environments (PACS)

Integration with Radiological Information Systems (RIS)

Integration via AI marketplaces or distribution platforms

Deployment options: locally virtualized (virtual machine, Docker) or cloud-based

Analysis triggered automatically post-image acquisition or on-demand by user

Processing time: less than 3 seconds per image

Secondary capture with annotated regions of interest highlighting OA signs

CE-marked as Class IIa medical device under MDR

FDA 510(k) cleared as Class II medical device

Intended for use as an adjunctive tool to assist healthcare professionals in radiographic analysis and reporting on knee OA from lateral and weight-bearing anterior-posterior or posterior-anterior projection radiographs of unilateral or bilateral knees

PACS
RIS
AI marketplaces
distribution platforms

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization

Kettering General Hospital Foundation Trust

I never thought AI solutions for fracture detection would be useful for an experienced reporter, but RBfracture caught several fractures that I would have otherwise missed.

94% accuracy, specificity, and sensitivity


Summary: Discovery MI Gen 2 is GE HealthCare's advanced digital PET/CT system, offering enhanced sensitivity and imaging capabilities for precise diagnostics.

Discovery MI Gen 2 is GE HealthCare's next-generation digital PET/CT system, designed to provide high-resolution imaging with exceptional sensitivity. It features a scalable field of view (FOV) from 15 cm to 30 cm, enabling comprehensive whole-body imaging. The system incorporates advanced digital detectors, including the LightBurst Digital Detector, which combines small lutetium-based scintillator crystals with Silicon Photomultiplier (SiPM) technology to improve sensitivity, scan times, and required dose levels. Additionally, it offers Q.Clear for up to a twofold improvement in image quality (SNR) and MotionFree for up to a 67% improvement in lesion volume measurements. The system also includes TrueFidelity, a deep-learning-based image reconstruction technology, and AutoIN, which allows technologists to define landmarks and position the patient table from the control console, enhancing workflow efficiency. Discovery MI Gen 2 is designed to detect smaller lesions, achieve a 125% increase in sensitivity, and provide up to a 41% improvement in small lesion detectability. It also reduces scan times by up to 50% and decreases injected dose by up to 50%. The system is CE marked and 510(k) pending with the FDA, not yet available for sale in the U.S. as of October 2025.

Clinicians
Radiologists
Medical Technologists
Oncologists
Cardiologists
Neurologists

Oncology
Cardiology
Neurology
Radiology
Nuclear Medicine
Internal Medicine
Emergency Medicine
Orthopedics
Pediatrics
Geriatrics
Pulmonology
Endocrinology
Gastroenterology
Hematology
Infectious Disease
Rheumatology
Urology
Obstetrics And Gynecology
Ophthalmology
Dermatology

United States
Canada
Mexico
Brazil
Argentina
United Kingdom
Germany
France
Italy
Spain
Turkey
Middle East
India
China
Japan
South Korea
Australia
New Zealand
South Africa
Egypt

English Spanish French German Italian Portuguese Turkish Arabic Chinese Japanese Korean Hindi Bengali Punjabi Telugu Marathi Tamil Gujarati Malayalam Kannada Odia Assamese

United States
United Kingdom
Germany
France
Italy
Spain
Turkey
Middle East
India
China
Japan
South Korea
Australia
New Zealand
South Africa
Egypt
Brazil
Argentina
Mexico
Canada

Digital detectors with scalable field of view up to 30 cm

Motion correction with MotionFree technology

Q.Clear for improved PET quantification accuracy

Whole-body Dynamic IQ Protocol for dynamic acquisitions

Deep-learning based image reconstruction with Revolution EVO Gen 3 CT

Smart MAR for reduction of metal artifacts

Enhanced image quality with up to 2x improvement in SNR

Up to 2x improvement in quantitative SUV (SUVmean)

MotionFree
Revolution EVO Gen 3 CT
Smart MAR
Q.Clear
Whole-body Dynamic IQ Protocol

Revolution EVO Gen 3 CT
MotionFree
Smart MAR
Q.Clear
Whole-body Dynamic IQ Protocol

Windows Server 2016 or later, Linux CentOS 7 or later, Intel Xeon processor, 16 GB RAM, 1 TB HDD

HIPAA
FDA 510(k)
IEC 60601-1 Ed. 3
21 CFR Subchapter J
NEMA standards

FDA 510(k)
CE Mark
IEC 60601-1 Ed. 3
21 CFR Subchapter J
NEMA standards


Summary: Vereos PET/CT is Philips' fully digital positron emission tomography/computed tomography system, utilizing Digital Photon Counting technology for enhanced imaging performance.

Vereos PET/CT is the world's first fully digital PET/CT system, employing Philips' proprietary Digital Photon Counting technology to deliver improved lesion detectability, reduced PET dose, faster scan times, and readiness for future applications. It offers enhanced diagnostic confidence with emerging applications that use short half-life tracers.

Netherlands USA China India Japan Germany UK France Italy Spain

Digital Photon Counting (DPC) technology

High count rate for enhanced diagnostic confidence

Windows OS, DICOM-compliant PACS, HL7/FHIR interfaces

Encryption
Role-Based Access Control (RBAC)
Audit Logs
Single Sign-On (SSO)
Secure Socket Layer (SSL)
Data Loss Prevention (DLP)
Two-Factor Authentication (2FA)
Secure File Transfer Protocol (SFTP)
Virtual Private Network (VPN)
Firewall Protection

Business Associate Agreement (BAA)
Data Anonymization
Data Minimization
Consent Management
Data Masking
Access Controls
Audit Trails
Data Encryption
Data Segregation
Data Retention Policies


Summary: Breastscape is an advanced MRI post-processing software by Olea Medical, designed to enhance breast imaging interpretation and patient management.

Breastscape is a medical imaging post-processing software developed by Olea Medical, intended for use by trained breast imaging physicians and MRI technologists. It operates as an optional application on the Olea Sphere V3.0 software package, facilitating visualization, analysis, and reporting of breast MRI lesions, dynamic contrast evaluation, lesion measurements, and MR-guided breast intervention planning. The software comprises two modules: BreastApp, which supports visualization, analysis, and reporting of lesion measurements, and BreastLoc, which assists in planning MR-guided breast interventional procedures. Data and images are acquired through DICOM-compliant imaging devices and modalities. Breastscape is a Class IIa medical device, manufactured and marketed by Olea Medical SAS (France), and is not reimbursed by insurance organizations. It is designed and produced according to the EN ISO 13485 Quality management system. Instructions for use are available on the Olea Medical website. ([olea-medical.com](https://www.olea-medical.com/en/legal-mentions/?utm_source=openai))

Clinicians
Radiologists
MRI Technologists
Medical Imaging Professionals
Healthcare Providers

Radiology
Breast Imaging
Medical Imaging
Women's Health
Oncology
Medical Technology
Healthcare It
Mri Imaging
Medical Devices
Clinical Decision Support

France
United States
Europe
North America
Asia
Africa
South America
Australia
New Zealand
Global

English French Spanish German Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Bengali Punjabi Javanese Turkish Vietnamese Telugu Marathi

France
United States
Germany
United Kingdom
Italy
Spain
Netherlands
Belgium
Switzerland
Canada

Longitudinal analysis of multiple examinations

4D MIP, MPR, and 3D rendering of volumes of interest

Automatic computation of parametric maps

No specific on-premises hardware required

Scalable virtual application tailored to radiologists' requirements

Automatic computation of volumes and distances

Analysis of morphologic and functional series (DWI, DCE)

Windows or Linux OS, DICOM-compliant imaging devices

CE Certified, Class IIa, MDD
FDA 510(k) Cleared, Class II

Secure data transfer through VPN
Secure access from any workstation


Summary: qER is an AI-powered head CT scan tool developed by Qure.ai, designed to assist in the rapid detection and triage of critical brain conditions, including intracranial bleeds, mass effect, midline shift, and cranial fractures, thereby enhancing stroke and traumatic brain injury care.

qER integrates seamlessly into radiology workflows, prioritizing critical cases to expedite reporting and improve patient outcomes. It has received FDA 510(k) clearance for detecting intracranial bleeds, mass effect, midline shift, and cranial fractures, and CE Class IIb certification in the European Economic Area. The tool has been deployed in numerous hospitals and teleradiology providers worldwide, processing over 8 million scans and sending more than 400,000 critical notifications. It offers features such as rapid team activation, early diagnosis support, and data-driven workflow optimization.

clinicians
radiologists
emergency medicine physicians
neurologists
neuro-critical care teams

Neurology
Emergency Medicine
Radiology
Neuro-critical Care

United States
European Economic Area
India
Global

English Hindi Spanish French German Italian Portuguese Dutch Swedish Danish Norwegian Finnish Polish Czech Hungarian Romanian Bulgarian Greek Turkish Russian

India
United States
United Kingdom
Germany
Singapore
United Arab Emirates
South Africa
Australia
Japan
China

Detection of intracranial hemorrhages, cranial fractures, midline shift, mass effect, infarcts, and atrophy

Rapid analysis with critical notifications to stroke teams

Real-time communication and secure data sharing

Clinical decision support tools for treatment planning

Data-driven analysis for program evaluation

Qure App for care coordination and mobile notifications

Advanced analytics and outcomes dashboards

Enterprise integration services and custom workflow connectors

PACS (DICOM-based systems)
RIS
Sectra
Philips
AWS (cloud hosting)
Medtronic (care pathway partnership)

DICOM-compatible imaging source; supports cloud (AWS) or on-prem servers; integrates via standard DICOM/HL7/FHIR interfaces

HIPAA
EU GDPR
ISO/IEC 27001
FDA 510(k)
CE IIB (MDR)

FDA 510(k) clearance K211222 for qER-Quant

Encryption at rest and in transit
Role-based access control (RBAC)
SSO/SAML support
Audit logging
Two-factor authentication (2FA)

Patient data de-identification/anonymization support

It has the best deep learning and automated AI features to track and interpret X-rays, CTs, and Ultrasound scans within a significantly less duration of time using the best image processing and AI visions.


Summary: ClariCT.AI is an AI-powered CT image denoising solution that enhances image clarity in low- and ultra-low-dose CT scans, ensuring high-quality imaging without increasing radiation exposure.

ClariCT.AI utilizes deep learning technology to reduce noise and improve image clarity in CT scans, even at low and ultra-low doses. It is FDA-cleared and CE-marked, compatible with any DICOM-compliant CT scanner and PACS system, and offers fully automated operation with fast processing speeds. The software is trained on over one million patient images to effectively separate image noise while preserving underlying structures, providing clarity-restored images. It is available through platforms like Siemens Healthineers' Digital Marketplace and Nuance AI Marketplace, facilitating easy integration into existing workflows.

radiologists
clinicians
hospital administrators

Radiology
Cardiology
Neurology
Orthopedics
Pulmonology
Gastroenterology
Cardiothoracic Surgery
Spinal Surgery
Oncology
Pediatrics
Geriatrics
Emergency Medicine
Trauma Surgery
Vascular Surgery
Neurosurgery
Orthopedic Surgery
Pulmonary Medicine
Gastrointestinal Surgery
Cardiovascular Surgery
Thoracic Surgery

United States
European Union
South Korea
Canada
Australia
Japan
China
India
Brazil
Mexico
South Africa
Russia
United Kingdom
France
Germany
Italy
Spain
Netherlands
Belgium
Sweden
Norway

English Korean German French Spanish Italian Dutch Swedish Norwegian Portuguese Russian Chinese Japanese Hindi Arabic Turkish Polish Romanian Hungarian Czech

South Korea
United States
Germany
France
United Kingdom
Japan
China
India
Brazil
Mexico

Deep-learning CT denoising (noise reduction)

Vendor‑agnostic (works with any DICOM CT scanner)

Preserves natural image texture while denoising

User‑definable scalable clarity settings

Fully automated processing / real-time workflow

Fast processing for streamlined workflow

Improves diagnostic confidence in denoised images

Integration package for syngo.via OpenApps

PACS vendors (vendor‑agnostic integration)

CT scanner manufacturers (vendor‑agnostic support)

teleradiology providers (e.g., 4ways Healthcare)

Desktop PC or server with GPU for acceleration; DICOM network connectivity to CT and PACS (on-prem or cloud deployment possible)

FDA cleared
CE marked
Korean MFDS clearance/registration

Korean MFDS clearance/registration (ClariCT.AI)

Encryption in transit and at rest using AES-256 standards

Role-based access controls (RBAC) for granular permission management

Data residency options for meeting regional compliance requirements

Automated data retention and deletion policies

Regular third-party security audits and penetration testing

GDPR compliance for European data privacy requirements

Single Sign-On (SSO) integration with major identity providers

Multi-factor authentication (MFA) enforcement capabilities


Summary: Us2.v1 is an AI-driven software that automates the analysis of transthoracic echocardiography, providing comprehensive cardiac measurements and reports to support clinicians in diagnosing heart diseases.

Us2.v1 is an FDA-cleared and CE-marked automated clinical workflow solution developed by Us2.ai. It processes 2D, M-mode, and Doppler echocardiographic images to deliver complete, editable reports with measurements and annotations for all four heart chambers. The software integrates with existing PACS systems and adheres to international guidelines, enhancing diagnostic efficiency and accuracy in cardiovascular care.

enterprise provider hospital point-of-care

cardiologists
echocardiography sonographers
cardiac imaging specialists
radiologists
clinical administrators

Cardiology
Echocardiography
Cardiac Imaging
Heart Failure
Pulmonology

United States
European Union
Canada
Australia
New Zealand
Singapore
Mexico
Israel
Philippines
Brazil
Thailand
Taiwan
Indonesia
Vietnam
India

Subscription pricing; typically tiered based on number of analyses — contact vendor for commercial pricing and trial info

Automated global longitudinal strain (GLS) quantification for heart failure detection

Regional strain analysis for coronary artery disease detection

Aortic stenosis measurements referencing ASE recommendations

Comprehensive quantitative analysis of cardiac structure and function, including left/right atrial and ventricular linear dimensions, volumes, systolic and diastolic function

Detection of cardiac amyloidosis and heart failure with preserved ejection fraction

Real-time, fully automated image processing and analyses with reduced variability compared to human measurement

Disease detection capabilities for heart failure, cardiac amyloidosis, pulmonary hypertension, and aortic stenosis

Standardized echo reads for retrospective, prospective, and longitudinal surveillance with zero variability

Full suite of measurements at population health level scale

Fully automated echo reports compatible with mobile devices featuring AI guidance, CW/PW/Tissue Doppler, and all 2D views

Us2.connect server for enterprise-wide storage

BAA available
consent management
anonymization
data minimization


Summary: Volpara Imaging Software is an AI-powered solution that enhances breast cancer screening by providing precise breast tissue quantification and optimizing mammogram quality, positioning, compression, and dose.

Volpara Imaging Software leverages artificial intelligence to assist radiologists in accurately assessing breast density and improving mammogram quality. It integrates with various imaging systems and supports personalized breast care decisions, aiming to reduce advanced-stage breast cancer incidence.

United States
Canada
Australia
New Zealand
Europe
Asia
South America
Africa

English Spanish French German Italian Dutch Portuguese Japanese Chinese Korean Arabic Russian Hindi Bengali Punjabi Telugu Marathi Tamil Urdu Gujarati

New Zealand
United States
Australia
United Kingdom
Germany
France
Italy
Spain
Netherlands
Japan

Automated patient positioning assessment

Standardization of mammographic image quality

Improvement of technologists' positioning performance

PACS
Clinical Information Systems (CIS)
Radiology Information Systems (RIS)

DICOM-compatible PACS; typical PACS/server environment

HIPAA
GDPR
SOC 2
ISO 27001
ISO 27017
ISO 27018
ISO 27701
SOC 2 Type 2
PCI DSS v4.0.1
Cyber Essentials
TX-RAMP

FDA 510(k)
CE Mark
ISO 27001
ISO 27017
ISO 27018
ISO 27701
SOC 2 Type 2
PCI DSS v4.0.1
Cyber Essentials
TX-RAMP

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
OAuth 2.0
OpenID Connect
API rate limiting
Mutual TLS authentication

Incident response and disaster recovery measures