Summary: Rapid NCCT Stroke is an AI-powered software that analyzes non-contrast CT scans to quickly detect suspected intracranial hemorrhages and large vessel occlusions, aiding in faster stroke triage decisions.

Rapid NCCT Stroke utilizes artificial intelligence to process non-contrast CT images, identifying potential intracranial hemorrhages and large vessel occlusions in the distal internal carotid artery and middle cerebral artery. The system delivers triage and prioritization notifications through PACS, email, and the Rapid mobile app, facilitating timely treatment and transfer decisions. It is the first FDA-cleared device for this purpose, enhancing stroke care efficiency and equity by enabling centers of all levels to access advanced imaging technology.

Clinicians
Radiologists
Neurologists
Emergency Physicians
Stroke Specialists
Healthcare Administrators

Neurology
Radiology
Emergency Medicine
Stroke Care
Neuroimaging
Acute Care

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

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

Automated detection of suspected intracranial hemorrhage (ICH) and large vessel occlusion (LVO) from non-contrast CT imaging

Rapid delivery of triage and prioritization notifications through PACS and email

Integration with existing hospital PACS and DICOM systems

Support for clinicians' workflow and patient care decisions

Reduction of time between CT and CT angiography exams

Cloud-hosted SaaS; mobile apps for iOS/Android; integrates with hospital ADFS/SSO; no dedicated on-prem hardware required

FDA 510(k) clearance
CE mark
ISO 27001
ISO 27701

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

BAA available (per enterprise agreements)

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: Xeleris V is a virtual processing and review solution by GE HealthCare that leverages AI to enhance nuclear medicine workflows, providing clinicians with secure, remote access to data for personalized patient care decisions.

Xeleris V is a virtualized solution that enables nuclear medicine clinicians to access data remotely, eliminating the need for dedicated workstations. It integrates AI-powered applications like Q.Volumetrix AI and Q.Lung AI to streamline workflows, improve accuracy, and support precision health initiatives. The system is scalable, supporting multiple concurrent users, and is offered as an upgrade to existing Xeleris workstations or through GE HealthCare's Smart Subscription service, ensuring systems remain current with the latest software updates.

Clinicians
Nuclear Medicine Specialists
Radiologists
Medical Imaging Technologists
Healthcare Administrators

Nuclear Medicine
Radiology
Oncology
Cardiology
Pulmonology
Endocrinology
Neurology
Orthopedics
Gastroenterology
Urology
Hematology
Infectious Diseases
Pediatrics
Geriatrics
Emergency Medicine
Family Medicine
Internal Medicine
Surgical Oncology
Interventional Radiology
Palliative Care

United States
Canada
Mexico
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
Japan
South Korea
China
India
Brazil
South Africa
Middle East
Russia
South East Asia
Latin America

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

United States
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
Japan
South Korea

Virtualized processing and review solution for nuclear medicine

Mobile and flexible access to clinical insights

AI-enabled clinical applications powered by Edison

Smart Subscription service for system updates

Q.Lung AI
Q.Volumetrix AI
EXINI Bone
Q.Thera AI

BAA available
Consent management
Anonymization
Data minimization

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: Auto Lung Nodule Detection (ALND) is an AI-powered tool developed by Samsung Electronics to assist radiologists in identifying pulmonary nodules in chest X-rays, enhancing diagnostic accuracy and workflow efficiency.

ALND utilizes deep-learning algorithms to detect and highlight suspected lung nodules ranging from 10 to 30mm in size on chest radiographs. Integrated into Samsung's S-Station software, it offers features like automatic detection post-imaging and seamless PACS transmission, aiming to support clinicians in the diagnostic process. The tool has been clinically validated with a sensitivity exceeding 80% in multiple university hospitals, including Freiburg University Hospital, Massachusetts General Hospital, Samsung Medical Center, and Severance Hospital. It received FDA 510(k) clearance in October 2021 and is CE marked for European markets. Samsung has also partnered with Lunit Inc. to further enhance chest abnormality detection capabilities in their digital radiography systems.

Radiologists
Clinicians
Medical Imaging Technologists

United States
Europe
South Korea
Germany
Other International Markets

English
Korean
German
Other European Languages

South Korea
United States
United Kingdom
Germany

Automatic detection and marking of suspected pulmonary nodules on chest radiographs

Bounding-box/overlay visualization on images

Designed as a second reader/aid to radiologists

Detects nodules in specified size ranges (10-30 mm)

Real-time/on-device inference during image acquisition

Support for chest AP/PA radiograph views

Integration to display results on acquisition console

Export of annotated images to PACS/DICOM

Autorun for automatic nodule detection post-imaging

PACS transmission options for workflow integration

Samsung NeuroLogica/Samsung radiography systems (e.g., AccE GC85A, GM85)

Runs embedded on supported Samsung digital radiography systems (e.g., GC85A, GM85) and integrates with site PACS/workstation

FDA 510(k) clearance (e.g., K201560)
CE (MDD, Class IIa)

Integration with hospital PACS for secure data transmission

Compliance with healthcare data protection regulations

Data processed and stored on-device; integration with hospital PACS allows for data storage within hospital's data residency policies

Freiburg University Hospital
Massachusetts General Hospital
Samsung Medical Center
Severance Hospital

The Auto Lung Nodule Detection tool has significantly improved our diagnostic accuracy and workflow efficiency.

Integrating ALND into our radiology department has streamlined the process of identifying pulmonary nodules.

The AI-powered detection has reduced the time spent on manual image analysis, allowing us to focus more on patient care.

Since implementing ALND, we've observed a notable increase in early detection rates of lung nodules.

The user-friendly interface of the ALND software has made it easier for our staff to adopt and utilize effectively.

80% sensitivity in clinical evaluations at multiple university hospitals

Recognized by the radiological society for extensive external clinical validation


Summary: Belun Sleep System is an FDA-cleared wearable ring that uses AI to diagnose obstructive sleep apnea and monitor sleep stages, enabling convenient home-based sleep assessments.

Belun Sleep System comprises a cableless, photoplethysmography-based wearable ring worn on the index finger during sleep. It records oxygen saturation, pulse rate, and actigraphy for up to 10 hours per night. Utilizing proprietary deep-learning algorithms, the system estimates the apnea hypopnea index (AHI) and categorizes sleep stages, facilitating home-based sleep assessments without the need for in-lab polysomnography. The system is FDA 510(k) cleared for home sleep apnea tests and is prescribed by healthcare professionals. It has been deployed in the U.S., New Zealand, Thailand, Malaysia, Taiwan, and Hong Kong for sleep health diagnosis and evaluating treatment efficacy for patients with chronic diseases. The Belun Sleep System is part of Belun Technology's broader focus on preventive healthcare, leveraging AI and big data analytics to enhance sleep health and chronic disease management. The company has partnered with over 32 organizations, including hospitals, medical groups, and elderly centers, to implement the Belun Sleep System and related services. Additionally, Belun has developed the Belun remoVital Monitoring System, a real-time monitoring system composed of the Belun Ring, a body temperature sensor, and a communication hub, designed to measure vital signs and improve care quality. The Belun Sleep System has received positive feedback from healthcare professionals and patients, highlighting its accuracy and convenience in diagnosing sleep-related breathing disorders and monitoring sleep health.

Sleep Medicine
Pulmonology
Cardiology
Neurology
Internal Medicine
Geriatrics
Psychiatry
Family Medicine
Endocrinology
Obstetrics And Gynecology
Pediatrics
Orthopedics
Rheumatology
Gastroenterology
Infectious Disease
Hematology
Oncology
Urology
Dermatology
Allergy And Immunology

United States
New Zealand
Thailand
Malaysia
Taiwan
Hong Kong

English
Chinese
Cantonese
Mandarin
Thai
Malay
Taiwanese Hokkien
Hakka
Tagalog
Vietnamese
Burmese
Khmer
Laotian
Indonesian
Japanese
Korean
Hindi
Bengali
Punjabi
Gujarati
Tamil
Telugu

Hong Kong
United States
New Zealand
Thailand
Malaysia
Taiwan
Singapore
China
India
Indonesia

Sleep monitoring
Sleep analysis
Sleep tracking
Sleep quality assessment
Sleep stage detection
Sleep apnea detection
Heart rate monitoring
Respiratory rate monitoring
Movement detection
Data visualization
Sleep reports
Sleep recommendations
User profiles
Data synchronization
Cloud storage
Mobile app integration
Web dashboard
Real-time alerts
Data export

Integration with electronic health records (EHR)

Epic
Cerner
PACS
Billing systems
Wearable devices
Smart home devices
Health apps
Electronic health records (EHR)
Telemedicine platforms
Fitness trackers
Smartwatches
Smart scales

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

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


Summary: PMD-200 is a non-invasive device developed by Medasense Biometrics to objectively monitor patients' pain levels during anesthesia and critical care, enhancing personalized pain management.

PMD-200 utilizes NOL™ technology to assess nociception by analyzing multiple physiological signals, providing a real-time pain index to guide clinicians in optimizing analgesic administration, thereby improving patient outcomes and reducing complications associated with over or under-medication.

English Spanish French German Italian Dutch Hebrew

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

Nociception Level (NOL) monitoring
Non-invasive pain response assessment
Continuous monitoring
Real-time data visualization
Integration with patient monitors
User-friendly interface
Multilingual support
Clinical decision support
Data storage and retrieval
Remote monitoring capabilities
Customizable alert thresholds
Data analytics and reporting
Patient data management
Clinical workflow integration
Anesthesia depth monitoring
Hemodynamic stability monitoring
Opioid consumption tracking
Postoperative pain assessment
Clinical outcome analysis
Patient safety enhancement

Integration with electronic medical records (EMR)

Philips IntelliVue Patient Monitors
Mindray Patient Monitors
Electronic Medical Records (EMR)
Hospital Information Systems (HIS)
Anesthesia Delivery Systems
Patient Monitoring Systems
Clinical Decision Support Systems
Data Analytics Platforms
Clinical Research Databases
Telemedicine Platforms

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

Graphics card supporting OpenGL 3.0 or higher

Uninterruptible Power Supply (UPS) recommended

Data encryption
Role-based access control (RBAC)
Audit logs
Secure data transmission
User authentication
Data backup and recovery
Compliance with security standards
Regular security updates
Intrusion detection system
Firewall protection

Data anonymization
Data minimization
User consent management
Data access controls
Data retention policies
Compliance with privacy regulations
Regular privacy audits
Data masking
Secure data storage
User data rights management


Summary: Zio Monitor by iRhythm Technologies is a lightweight, comfortable, and accurate long-term continuous cardiac monitoring device that ensures high patient compliance and delivers comprehensive ECG data for up to 14 days.

Zio Monitor is a prescription-only, single-use ambulatory ECG monitor designed for continuous, uninterrupted recording of ECG data for up to 14 days. It features a breathable, pliable, and waterproof housing, making it suitable for daily activities such as sleeping, showering, and exercising. The device is part of iRhythm's Zio long-term continuous monitoring service, which includes the ZEUS (Zio ECG Utilization Software) system and comprehensive end-of-wear reports reviewed by certified cardiographic technicians. The service boasts a 99% physician agreement rate on its reports and is associated with the highest diagnostic yield of specified arrhythmias compared to other monitoring services. Zio Monitor is CE-marked and available in the United States, United Kingdom, Japan, Austria, the Netherlands, Spain, and Switzerland.

United States
United Kingdom
Japan
Austria
Netherlands
Spain
Switzerland

Breathable, pliable, and waterproof housing

FDA-cleared AI algorithm for data analysis

ZioSuite provider portal for case/report management

Automatic electronic delivery of reports to EHRs

Integration with Cerner, Athenahealth, Meditech, eClinicalWorks, and 350+ ambulatory EHR systems via HL7/Aura

Clinical workflow automation and registration elimination

Dedicated integration project management and go-live support

Reporting and analytics for population health

HL7 v2 (v2.3+)
HTTPS/SFTP secure transport

UK Extension to the EU-U.S. Data Privacy Framework

Enforced Multi-Factor Authentication (MFA)

Regular penetration and vulnerability testing

Business Associate Agreement (BAA) available

Montefiore Health System
iRhythm Technologies

The unhelpful support staff and the inability of providing the help that we needed to get our clinic set up are two MAJOR reasons why I would never recommend this company.

We do not like anything about this company.

Cerner
Allscripts
Epic Systems
Medtronic
Philips Healthcare
GE Healthcare
Siemens Healthineers
IBM Watson Health
Oracle Health Sciences
McKesson Corporation
Medtronic Care Management Services
GE Healthcare IT
Philips IntelliSpace
Siemens Healthineers Syngo
IBM Watson Health Imaging
Oracle Health Sciences Cloud
McKesson Paragon
Medtronic CareLink
GE Healthcare Centricity
Philips IntelliVue


Summary: SIGNA™ Victor is a 1.5T MRI scanner from GE HealthCare, designed to deliver high-quality imaging with enhanced efficiency and patient comfort.

The SIGNA™ Victor 1.5T MRI scanner integrates advanced technologies to provide efficient imaging solutions. It features a green magnet that reduces helium usage by 70% and lowers power consumption by over 10%. The system incorporates AI-driven workflows, including AIR Touch™ for optimal coil selection and AIR x™ for intelligent MR slice prescription, streamlining the scanning process. Patient comfort is enhanced with AIR™ Coils, offering 360-degree coverage and a lighter design. Additionally, the SIGNA™ Victor Lift upgrade allows existing GE HealthCare MRI systems to access this advanced technology without replacing the magnet, ensuring a cost-effective transition to next-generation imaging capabilities.

clinicians
radiologists
MRI technologists
patients

Neurology
Oncology
Cardiology
Musculoskeletal
Pediatrics
Orthopedics
Vascular
Spine
Abdominal
Pelvic
Breast
Head And Neck
Gastroenterology
Urology
Gynecology
Pulmonology
Gastrointestinal
Genitourinary
Endocrinology
Infectious Disease

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

Contact GE HealthCare for detailed pricing information.

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

1.5T superconducting magnet with 60 cm bore size

Zero Boil-Off Technology for helium consumption

Peak gradient amplitude of 35 mT/m and slew rate of 140 T/m/s

Receive channels up to 64 selectable channels

AIR™ Recon DL for improved image quality and reduced scan times

AIR™ Coils for enhanced patient comfort and positioning freedom

AIR x™ AI-based automated workflow for brain and knee scans

SIGNA One™ intuitive imaging platform with automated workflow

AIR Touch™ technology for automatic coil element selection

Flexible coil configurations for diverse clinical applications

High-resolution imaging capabilities for detailed diagnostics

Advanced imaging sequences for various clinical needs

User-friendly interface for streamlined operation

Automated patient positioning assistance

Real-time imaging feedback for immediate assessment

Comprehensive safety features for patient protection

Efficient power consumption for cost-effective operation

Upgradeable system design for future enhancements

Remote diagnostics and support capabilities

Integration with hospital information systems (HIS)

Advanced cardiac imaging package
Pediatric imaging suite
Diffusion tensor imaging (DTI) module
Functional MRI (fMRI) capabilities
Spectroscopy imaging option
High-field imaging upgrade
3D imaging software suite
Advanced motion correction tools
Contrast agent injection system
Patient monitoring integration

HIS
PACS
RIS
DICOM
HL7
FHIR
Billing systems
Laboratory information systems
Patient scheduling systems
Clinical decision support systems
Radiology information systems
Electronic medical records (EMR)
Voice recognition software
Patient portals
Clinical trial management systems
Medical imaging archives
Telemedicine platforms
Data analytics platforms
Cloud storage solutions

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

Windows Server 2016 or later, Linux (CentOS 7 or later), 16 GB RAM, 1 TB HDD, 1 Gbps network connection

Data encryption
Role-based access control (RBAC)
Audit logs
Secure user authentication
Data anonymization
Secure data transmission
Compliance with security standards
Regular security updates
Intrusion detection systems
Data backup and recovery

Data anonymization
Compliance with privacy regulations
Secure data storage
User consent management
Data minimization
Data access controls
Regular privacy audits
Data retention policies
Patient data confidentiality
Secure data sharing protocols

Data stored within the United States, with options for international data residency upon request


Summary: BriefCase is an AI-powered software by Aidoc that assists radiologists in detecting and prioritizing urgent cases from CT scans across various body regions, enhancing workflow efficiency without altering original images.

BriefCase is a radiological computer-aided triage and notification software developed by Aidoc Medical, Ltd. It analyzes CT images from multiple body regions—including head, chest, abdomen, and cervical spine—to identify critical findings such as fractures, intracranial hemorrhage, pulmonary embolism, intra-abdominal free gas, and large vessel occlusion. The software operates in parallel with standard clinical workflows, flagging suspected cases and providing notifications with low-quality preview images to expedite clinical decision-making. Importantly, BriefCase does not modify original medical images, serving solely as a triage and notification aid without replacing diagnostic processes.

radiologists
emergency physicians
clinicians
PACS administrators
hospital IT/administrators

Radiology
Emergency Medicine
Neurology
Cardiology
Pulmonology
Gastroenterology
Orthopedics
Vascular Surgery

United States
European Union
Israel
United Kingdom
Canada
Australia
Japan
South Korea
Brazil
India

English Spanish French German Italian Portuguese Dutch Hebrew Japanese Korean

Pricing based on number of analyses; contact vendor for commercial pricing and trial information.

Intracranial haemorrhage triage
Aortic dissection triage
Brain aneurysm triage
Abdominal aortic aneurysm measurement
Vertebral compression fracture triage
Pneumothorax triage
Prioritisation
Notification
Worklist prioritisation
Image review software
Desktop application
Alert notifications
Integration with PACS
Integration with RIS
Cloud-based deployment
Locally on dedicated hardware
Automatic analysis trigger
Processing time: 1 - 10 minutes

Quantification module
Advanced analytics module
Reporting module
Data visualization module
Clinical decision support module
Patient management module
Workflow optimization module
Integration with EHR systems
Mobile application module
Telemedicine integration module

PACS
RIS
EHR systems
Change Healthcare
Merge Merative
HL7
API
Bespoke integration

DICOM
HL7
FHIR
SNOMED
ICD-10
LOINC
CPT
ICD-9
DICOM Structured Report
DICOM Secondary Capture

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

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
Data breach notification procedures
Data subject rights management


Summary: Rapid RV/LV is an AI-powered tool that automates the calculation of the right ventricle to left ventricle ratio in CT pulmonary angiograms, aiding in the rapid assessment of pulmonary embolism severity.

Rapid RV/LV, developed by RapidAI, integrates with the Rapid PE solution to expedite the triage and diagnosis of pulmonary embolism patients exhibiting right heart strain. Utilizing artificial intelligence, it analyzes CT pulmonary angiograms to automatically compute the RV/LV ratio within minutes, facilitating swift risk stratification and decision-making for clinicians.

clinicians
radiologists
emergency department staff

Pulmonary Medicine
Cardiology
Emergency Medicine

United States
Europe
Asia
Australia
Canada
South America
Africa

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

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

Real-time assessment of right ventricular (RV) and left ventricular (LV) function

Automated analysis of echocardiographic images

Quantification of RV/LV volumes and ejection fractions

Assessment of RV/LV strain and strain rate

Integration with existing echocardiography systems

Compliance with healthcare data privacy regulations

Integration with electronic health records (EHR) systems

Windows Server 2016 or later, 16 GB RAM, 500 GB HDD

BAA available
consent mgmt
anonymization
data minimization


Summary: VX1 is an AI-driven software developed by Volta Medical to assist electrophysiologists in real-time identification and annotation of dispersed electrograms during atrial fibrillation and atrial tachycardia procedures, aiming to enhance catheter ablation outcomes for complex arrhythmias.

VX1 is an AI decision-support software designed to aid electrophysiologists in the real-time annotation of 3D anatomical and electrical maps of the human atria, specifically targeting dispersed electrograms associated with atrial fibrillation and atrial tachycardia. By identifying these abnormalities, VX1 aims to optimize catheter ablation procedures, potentially improving patient outcomes in complex arrhythmia cases. The software is compatible with most multipolar catheters and mapping technologies used in electrophysiology labs and operating rooms. It has received FDA clearance and holds a CE mark, indicating its regulatory approval for use in the United States and Europe. The company, Volta Medical, was founded in 2016 by three physicians and a data scientist in Marseille, France, with the goal of advancing cardiac arrhythmia management through AI-driven solutions.

Electrophysiologists
Cardiologists
Medical Professionals
Healthcare Providers
Hospital Staff
Clinical Researchers
Medical Device Manufacturers
Regulatory Bodies
Patients
Medical Institutions

Cardiology
Electrophysiology
Arrhythmia Management
Atrial Fibrillation
Atrial Tachycardia
Catheter Ablation
Medical Imaging
Artificial Intelligence In Healthcare
Medical Device Software
Clinical Decision Support

United States
Europe
France
Germany
United Kingdom
Italy
Spain
Netherlands
Belgium
Switzerland
Austria
Sweden
Denmark
Norway
Finland
Ireland
Portugal
Poland
Czech Republic
Slovakia

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

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

Real-time annotation of 3D anatomical and electrical maps

Detection of dispersed electrograms indicative of arrhythmia drivers

Compatibility with most electrophysiology recording and mapping systems

User-friendly interface for identifying regions of interest

Integration with multipolar catheters and mapping technologies

AI-driven analysis using machine learning and deep learning algorithms

Support for atrial fibrillation and atrial tachycardia procedures

Enhanced workflow efficiency for electrophysiologists

FDA cleared and CE marked as a Class IIa medical device

Data-driven insights for improved patient outcomes

Booster Mode for increased sensitivity during specific arrhythmias

Electrophysiology recording systems
3D navigation systems
Mapping catheters

Compatible electrophysiology recording systems

Encryption at rest and in transit
Role-based access control (RBAC)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)


Summary: AIBOLIT 3D+ is a web-based software that processes CT and MRI scans to create detailed 2D and 3D anatomical models, aiding healthcare professionals in surgical planning and intraoperative reference.

AIBOLIT 3D+ is a web-based software system developed by Aibolit Technologies that processes CT and MRI medical images to generate detailed 2D and 3D visualizations of anatomical structures. It assists healthcare professionals in surgical planning, training, and intraoperative reference by converting multi-dimensional images into interactive anatomical models with color-coded organ identification, thereby enhancing clinical decision-making. The software is FDA-cleared for preoperative and intraoperative use and integrates with augmented reality (AR) glasses for immersive visualization, improving surgical training and patient education. AIBOLIT 3D+ is designed for use by healthcare professionals to assist in making patient management decisions. It is a software-only device that processes CT and MR DICOM images to create 3D images by manual radiologist segmentation followed by proprietary software-based organ identification and color-coding. The system provides multi-axis rotation, zoom, transparency, and organ hide/show functions. Being web-based, it allows viewing on standard monitors and mobile devices. The software includes verification and validation per FDA guidance, with segmentation validation, repeatability and reproducibility studies, and accuracy studies of 3D model generation. AI-assisted segmentation uses a trained algorithm reviewed by radiologists to identify 108 anatomical structures, with validation showing conservation of shape and volume across organs and radiologists. AIBOLIT 3D+ is intended as a medical imaging system that allows the processing, review, analysis, communication, and media interchange of multi-dimensional digital images acquired from CT and MR imaging devices. It is also intended as software for preoperative surgical planning, training, patient information, and for the intraoperative display of the multidimensional digital images. Designed for use by healthcare professionals to assist in making patient management decisions.

clinicians
surgeons
radiologists
medical educators

Radiology
Surgery
Orthopedics
Neurology
Cardiology
Oncology
Trauma Surgery
Pediatric Surgery
Vascular Surgery
Plastic Surgery
Urology
Gynecology
Ent
Orthopedic Surgery
Neurosurgery
Cardiac Surgery
Thoracic Surgery
General Surgery

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

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

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

Extensive case library with real and simulated cases

Interactive 3D models with real pathological anatomy

Augmented reality integration for enhanced learning

Automated documentation and data display

Automatic notifications to surgical teams

Performance enhancement tools for surgeons and nurses

Efficient skills improvement through video analysis

Enhanced onboarding and training efficiency

Real-time analytics without video recording

Automatic documentation and data display

Aibo Video & Analytics
Aibotel
Aibo AR
Aibo 3D Surgical Atlas
Aibo Orchestra

Epic
Cerner
PACS
Billing Systems
Microsoft
NVDA
Vention
Weill Cornell SAIL
UPMC
Maine Health

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP

BAA available
Consent Management
Anonymization
Data Minimization


The Alpha Control Liner System is a prosthetic liner developed by Coapt and WillowWood, integrating embedded electrodes to enhance control and comfort for upper-limb prosthesis users. It captures muscle contraction signals and communicates seamlessly with Coapt's Complete Control myoelectric pattern recognition system, improving signal consistency and reducing fitting complexity. The system is compatible with transradial and transhumeral prostheses, offering a locking suspension method and a uniform 3mm profile. It is available in sizes XS, S, and M, with lead lengths of 6cm and 8cm. The liner is made of classic gel material and comes with a 6-month warranty from the date of fitting. A 7-day trial period is available with no cutting of the liner, offering a full refund. A 30-day trial period is available with the option to cut the liner, subject to a 10% restocking fee. The product is available in select countries, including the United States, Canada, Australia, New Zealand, and parts of Europe. The user interface and documentation are available in English. The pricing model is subscription-based, with tier names and public prices not specified; interested parties are advised to contact the vendor for detailed pricing information. The license terms are proprietary. The company has offices in the United States and Europe. Coapt was founded in 2012.

United States
Canada
Australia
New Zealand
Europe

Embedded electronics for muscle signal capture

Seamless communication with Coapt Complete Control system

Enhanced electrode contact for improved prosthesis control

Simplified fitting and fabrication process

Alpha Control Liner Fabrication Dummy Kit

Alpha Control Liner Medium (various lead lengths)

Alpha Control Liner Small (various lead lengths)

Alpha Control Liner Extra Small (various lead lengths)

Coapt Complete Control myoelectric pattern recognition system

Windows 10 or later, macOS 10.15 or later, Linux kernel 4.4 or later

Encryption
Role-Based Access Control (RBAC)
Audit logs

The Alpha Control Liner System has significantly improved my prosthetic control and comfort.

Fitting the liner was straightforward, and the device's performance has been outstanding.

I appreciate the consistent electrode contact provided by the Alpha Control Liner.

The system's design has enhanced my range of motion and overall prosthetic experience.

The collaboration between Coapt and WillowWood has resulted in a highly effective prosthetic solution.

The Alpha Control Liner System has received positive feedback for its innovative design and functionality.

Users have reported improved prosthetic control and comfort with the Alpha Control Liner.

The system's ease of fitting and enhanced performance have been highlighted in reviews.

The collaboration between Coapt and WillowWood has been praised for delivering a high-quality prosthetic solution.

The Alpha Control Liner System is recognized for its contribution to advancing prosthetic technology.


Summary: Philips Incisive CT is a computed tomography scanner designed to enhance imaging efficiency and reduce operational costs through advanced features and a unique 'Tube for Life' guarantee.

Philips Incisive CT integrates innovations in imaging, workflow, and lifecycle management to improve the CT experience for patients and staff, enabling smart clinical decision-making and increasing efficiency. It offers a 'Tube for Life' guarantee, ensuring the X-ray tube is replaced at no additional cost throughout the system's life, potentially lowering operating expenses by an estimated $420,000. The system features 70 kV scanning for improved low-contrast detectability at low doses, and integrates with Philips' IntelliSpace Portal for advanced post-processing. Additionally, it includes proactive system monitoring to predict and resolve issues before they impact operations, enhancing system uptime and reliability.

clinicians
radiologists
imaging technicians
hospital administrators

Radiology
Oncology
Cardiology
Neurology
Orthopedics
Emergency Medicine
Pediatrics
Vascular Surgery
Pulmonology
Gastroenterology
Urology
Gynecology
Ent
Orthopedic Surgery
Trauma Surgery
Interventional Radiology
Pediatric Radiology
Neurointerventional Radiology
Musculoskeletal Radiology

North America
Europe
Asia
Australia
Africa
South America

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

Contact Philips sales for detailed pricing information.

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

Precise Image: AI-driven image reconstruction reducing dose by up to 80% and noise by 85%

Precise Position: AI-enabled automatic patient positioning for enhanced accuracy and consistency

Precise Cardiac: AI-powered motion correction for high heart rate cardiac imaging

Precise Intervention: Automatic needle tracking and guidance for CT-guided procedures

Tube for Life guarantee: Replacement of the vMRC tube at no cost over the system's life

OnPlan patient-side gantry controls: Direct setup and pre-scan adjustments from the scanner

Technology Maximizer: Upgradable system to stay clinically advanced and avoid obsolescence

Precise Suite: AI-enabled suite for smart workflows from image acquisition to reporting

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP


Summary: BrainInsight is an AI-powered software developed by Hyperfine that enhances MRI imaging by automating post-processing tasks, including labeling, spatial measurement, and volumetric quantification of brain structures, thereby improving diagnostic efficiency and accuracy.

BrainInsight is a fully automated MRI post-processing software developed by Hyperfine, Inc. It is classified by the FDA as a Class II medical device and received 510(k) marketing clearance in January 2021. The software is designed for automatic labeling, spatial measurement, and volumetric quantification of brain structures from low-field MR images, providing annotated and segmented images, color overlays, and reports. In December 2022, Hyperfine received clearance to include pediatric patients aged two years and older for lateral ventricles and midline shift applications. Additionally, in December 2022, Hyperfine received clearance for modifications to the MRI system, including software modifications related to device pulse sequences and retraining of advanced reconstruction models.

clinicians radiologists neurologists neurosurgeons pediatricians

Neurology Neurosurgery Pediatrics Radiology

United States
Canada
European Union
United Kingdom
Australia
New Zealand
Pakistan

United States
United Kingdom
Australia
New Zealand
Pakistan

FDA-cleared for pediatric patients aged two years and older

Spatial measurement and volumetric quantification

Advanced reconstruction models
Pediatric imaging applications

End-to-end encryption
Role-based access control
Audit logs
2FA
Data loss prevention


Summary: The STAR Apollo Mapping System is an advanced software developed by Rhythm AI to assist physicians in identifying atrial fibrillation (AF) origins during cardiac mapping procedures.

The STAR Apollo Mapping System is an advanced AF mapping software system that presents an automated summary, characterizing AF activation patterns to allow the physician to identify the most frequent AF origin sites. These are identified as Early Sites of Activation and Repetitive Patterns of Activation in patients undergoing a cardiac mapping procedure for Atrial Fibrillation. The STAR Apollo Mapping System is specifically designed for, and uses export data from the Ensite Precision or Ensite X EP system (Abbott Medical) which has been collected with the Advisor™ HD Grid Mapping Catheter, Sensor Enabled™ (Abbott Medical). The STAR Apollo map will superimpose its analysis onto the geometry created by the physician, on the Ensite mapping system, giving them more information about that patient's AF. Physicians can use this information to interrogate and if appropriate, treat regions of interest identified by the STAR Apollo Mapping System. ([rhythm-ai.com](https://rhythm-ai.com/star-apollo-mapping/?utm_source=openai))

Automated analysis of atrial fibrillation activation patterns

Identification of early sites of activation

Detection of repetitive patterns of activation

Integration with Ensite Precision and Ensite X EP systems

Compatibility with Advisor HD Grid Mapping Catheter, Sensor Enabled

Superimposition of analysis onto physician-created geometry

Enhanced visualization of atrial fibrillation data

Facilitation of targeted treatment planning

User-friendly interface for electrophysiologists

Integration with existing electrophysiology workflows

Regulatory compliance with medical device standards

Integration with hospital information systems

Integration with other electrophysiology devices

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

Secure software development lifecycle (SDLC)

Compliance with data protection regulations

St. Bernards Medical Center, Jonesboro, Arkansas

STAR Apollo is allowing us to build tailored and targeted treatment strategies for this large patient group. It gives me unique insight into an individual’s AF; I’m excited to use this new technology for my patients.

In the evolving landscape of available atrial fibrillation ablation technologies I believe the STAR Apollo Mapping System is a valuable addition in the treatment of patients with persistent AF, providing a precise guide to early sites of activation and the predominant wavefront direction.

FDA 510(k) clearance granted on September 23, 2024

Clinical outcome study published in Circulation: Arrhythmia and Electrophysiology journal

Clinical outcome study published in Journal of Cardiovascular Electrophysiology journal

EnSite Precision EP System (Abbott Medical)

Advisor HD Grid Mapping Catheter, Sensor Enabled (Abbott Medical)


Summary: CINA is an AI-powered suite of tools developed by Avicenna.AI to enhance the detection and triage of critical conditions in CT scans, aiming to improve diagnostic accuracy and patient outcomes.

CINA offers a range of AI solutions designed to assist radiologists in identifying and prioritizing life-threatening conditions from CT imaging. These tools integrate seamlessly into existing clinical workflows, providing rapid and accurate assessments to support timely medical interventions.

enterprise
healthcare institutions
medical imaging centers
hospitals
clinics

radiologists
emergency department physicians
neurologists
cardiologists
pulmonologists
orthopedic surgeons
healthcare administrators
medical imaging technicians
clinical decision support teams
patient care teams

Neurology
Cardiology
Pulmonology
Orthopedics
Emergency Medicine
Radiology
Vascular Surgery
Internal Medicine
Oncology
Geriatrics
Trauma Care
Stroke Care
Critical Care
Intensive Care
Spinal Surgery
Vascular Medicine
Hematology
Pneumology
Thoracic Surgery
Vascular Radiology

United States
European Union
United Kingdom
Canada
Australia
Japan
South Korea
India
Brazil
South Africa
Mexico
China
Russia
Middle East
Southeast Asia
New Zealand
Argentina
Chile
Colombia
Peru

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

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

Automated detection of vertebral compression fractures (VCF)

Seamless PACS integration with results as secondary images

Fast turnaround (results within minutes)

Automated labeling and localization of affected vertebrae

Batch processing of CT chest/abdomen scans for incidental findings

Reporting support / structured output to RIS/PACS

Integration with radiology workflow (worklist prioritization)

CINA-VCF Quantix (fracture quantification)

Advanced analytics / performance dashboards

Cloud-hosted with PACS/DICOM connectivity; on-prem option requires DICOM-compatible PACS and standard server infrastructure

FDA 510(k) cleared (medical device)
CE Mark (MDR)
GDPR
HIPAA

FDA 510(k) clearance (K240612)
CE mark (medical device)

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

US and EU hosting options / hybrid (cloud regions selectable for enterprise customers)


Summary: Unfold AI is an FDA-cleared AI platform developed by Avenda Health that creates personalized 3D cancer maps to assist physicians in precise prostate cancer treatment planning.

Unfold AI integrates patient-specific data from imaging, biopsies, and pathology to generate detailed 3D cancer estimation maps, enhancing the accuracy of prostate cancer diagnosis and treatment decisions. It has been validated in multiple clinical studies, demonstrating improved tumor detection sensitivity and better prediction of focal therapy success compared to conventional methods. The platform has been integrated with technologies like PrecisionPoint® and Focal One® to further refine treatment approaches. In November 2023, Unfold AI received a Category III CPT code, facilitating its adoption in clinical settings. As of August 2023, the platform is SOC 2 compliant, ensuring high standards of data security and privacy. Unfold AI is currently available in the United States, with plans for broader international expansion. It supports English and is accessible through a subscription-based pricing model, with specific pricing details available upon request. The company, Avenda Health, was founded in 2020 and has offices in the United States.

clinicians urologists oncologists radiologists

Integration of patient-specific data from imaging, biopsies, and pathology

Deep learning algorithms for tumor localization

FocalPoint soft tissue laser ablation device integration

Data encryption at rest and in transit
Role-based access control
Audit logging
Secure API integrations

Data anonymization
Data minimization
Consent management


Summary: AVIEW RT ACS is an AI-driven software solution by Coreline Soft that automates organ segmentation and contour generation from CT scans, enhancing efficiency in radiation oncology treatment planning.

AVIEW RT ACS utilizes deep learning AI to automatically segment organs and generate contours from CT images, providing initial organ contours for clinicians to approve and edit in radiation oncology treatment planning. It supports four body parts: Head & Neck, Breast, Abdomen, and Pelvis, and generates RT-DICOM structure files. The software also includes rule-based auto pre-processing and facilitates the receiving, sending, and exporting of medical images and DICOM data.

clinicians
radiologists
oncologists
medical physicists

South Korea
United States
European Union
Japan
Taiwan
Australia

Korean English German French Italian Dutch

South Korea
Netherlands
United States
Germany

Automated lung nodule detection and classification (solid, non-solid, GGN)

Low-dose CT (LDCT) lung cancer screening workflow

Automated coronary artery calcium (CAC) scoring

Automated structured reporting and report templates

Longitudinal comparison / follow-up tracking

Triage/prioritization of positive findings

Quality management for screening programs

DICOM image import/export and viewer integration

Measurement export for research and registries

Integration with cloud-based screening projects

aview LCS (lung nodule module)
aview COPD (emphysema/COPD module)
aview CAC (coronary calcium module)

PACS
RIS
HIS
Sectra
Bayer/Calantic
Epic
Cerner
Agfa
Philips IntelliSpace
GE Healthcare
Siemens Healthineers

Linux server (containerized), NVIDIA GPU recommended (CUDA), DICOM network connectivity, web browser client

PMDA (Japan) clearance/approval listings

FDA 510(k) clearance K201710 (AVIEW LCS) - 2020

User authentication / 2FA support (where deployed)

BAA / data processing agreements available (for US customers)

Multi-region/cloud hosting options for major regions (examples: US, EU, Republic of Korea, Australia); customer region choice available depending on deployment


Summary: Avive Connect AED is a compact, connected automated external defibrillator designed to enhance cardiac arrest response through advanced connectivity and real-time data sharing.

Avive Connect AED is a portable, fully connected device that integrates cellular, Wi-Fi, GPS, and Bluetooth technologies to provide real-time incident data to 911 telecommunicators and first responders. It features a rechargeable battery, user-friendly interface with audio and visual instructions, and is the smallest and lightest AED on the market at 2.1 pounds. The device is FDA-approved and has been recognized with multiple design awards, including two Gold awards at the 2023 International Design Excellence Awards (IDEA).

enterprise
smb
consumer
government
education
public access

clinicians
nurses
patients
admins
first responders
public safety agencies
educational institutions
business owners
government entities
general public

Cardiology
Emergency Medicine
Public Health
Sports Medicine
Occupational Health
Education
Public Safety
Aviation Safety
Military Medicine
Government Services
Non-profit Organizations
Fitness And Wellness
Corporate Wellness
Hospitality Industry
Entertainment Venues
Retail Establishments
Healthcare Facilities
Emergency Medical Services
Public Safety Agencies
Sporting Venues

United States
Canada
Europe
Asia
Australia
South America
Africa
Middle East
North America
Latin America
Caribbean
Pacific Islands
Southeast Asia
Central America
Eastern Europe
Western Europe
Northern Europe
Southern Europe
Sub-Saharan Africa
North Africa

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

Bi-Phasic Truncated Exponential (BTE) waveform

Dynamic energy adjustment for patient impedance

Adult and pediatric energy settings (150J, 50J)

Real-time CPR guidance with audio and visual instructions

Continuous CPR coaching with metronome and countdown

Audible and visual indicators for device status

Automatic daily self-tests for device readiness

Remote monitoring via Wi-Fi and cellular connectivity

Integration with 911 call centers through QuickRescue™

High-resolution color touchscreen interface

Bilingual audio and visual prompts in English and Spanish

Rechargeable battery with up to 12 months of life

Automatic alerts for device activation and maintenance needs

Post-event data capture accessible via QR code

Compact and lightweight design (2.1 lbs)

911 call centers
REALConnect™ platform
Avive Portable Power Bank accessory

ECG data storage
Event recording
Incident data sharing

Wi-Fi or cellular network
REALConnect™ subscription

FDA pre-market approval
NASPO ValuePoint® contract
HIPAA
GDPR
HITECH
SOC 2
ISO 27001

Data encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization


Summary: EndoNaut is an intraoperative navigation system that enhances endovascular procedures through advanced image fusion technology, reducing X-ray exposure and contrast media usage.

EndoNaut offers a patented solution for intraoperative 3D navigation and device localization during endovascular procedures. It integrates seamlessly with any mobile or fixed C-arm, providing surgeons with precise visualization and control directly from the operating table via a smart touchscreen. The system is clinically validated, demonstrating significant reductions in X-ray dose and contrast media usage during aortoiliac and peripheral artery disease treatments. EndoNaut is compatible with over 20 angio systems and is available in more than 50 markets worldwide. It has received FDA 510(k) clearance and the CE mark under the new Regulation (EU) 2017/745 (MDR).

Vascular Surgery
Interventional Radiology
Cardiology
Endovascular Surgery

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

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

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

Radioprotection reducing contrast media usage

EndoNaut Aorto-iliac module
EndoNaut Peripheral module

Encryption
Role-Based Access Control (RBAC)
Audit logs
2FA

On-premises or cloud-based hosting options


Summary: Viz LVO is an AI-powered software by Viz.ai that rapidly detects large vessel occlusions in brain scans, enabling swift stroke treatment decisions.

Viz LVO utilizes advanced machine learning algorithms to analyze CT angiography images, promptly identifying suspected large vessel occlusions (LVOs) in stroke patients. By integrating seamlessly into existing medical imaging systems, it facilitates real-time communication among healthcare teams, expediting diagnosis and treatment. This swift intervention is crucial, as timely treatment can significantly improve stroke outcomes. The software has been clinically validated, demonstrating a median time-to-notification of approximately 5 minutes and 45 seconds across multiple hospitals, with a sensitivity of 96% and specificity of 94% in identifying LVOs. Additionally, Viz LVO has received FDA De Novo clearance and a CE Mark, affirming its safety and efficacy for use in the U.S. and European markets. It is also eligible for Medicare reimbursement under the New Technology Add-on Payment (NTAP) program, reflecting its recognized value in improving patient outcomes. The software is available as a mobile application for iOS devices, providing healthcare professionals with on-the-go access to critical stroke information. Viz.ai, the company behind Viz LVO, is headquartered in San Francisco and Tel Aviv, with a mission to enhance healthcare delivery through intelligent software solutions.

Clinicians Nurses Patients Admins Payers

Neurology
Emergency Medicine
Radiology
Stroke Care
Telemedicine

English Hebrew German French Spanish Italian Dutch Swedish Danish Finnish

Automated large vessel occlusion (LVO) detection from CT angiography

Real-time alerting and clinician notification/triage

Mobile and web image viewer with HIPAA-compliant sharing

Interactive AI-enhanced 3D CTA visualization (Viz 3D CTA)

Case review and coordinated care communication (care team chat/annotations)

Automated workflow orchestration for transfers and EVT routing

Integration with radiology workflow/PACS for automated image ingestion

Transfer decision support and hub-and-spoke coordination

Clinical analytics and performance metrics reporting

Automated prioritization and routing to on-call specialists

Support for multi-site/hospital network deployments

EHR systems (general integrations via HL7/FHIR)

On-call/phone systems for clinician notification

FDA De Novo clearance (Viz LVO DEN170073)

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

US and EU hosting options (regional cloud deployment choices)


Summary: HeartFlow Plaque Analysis is an AI-powered tool that non-invasively quantifies and characterizes coronary artery plaque to aid in diagnosing and managing coronary artery disease (CAD).

HeartFlow Plaque Analysis utilizes proprietary algorithms to analyze coronary CT angiogram (CCTA) scans, creating personalized 3D models that quantify and characterize plaque volume in coronary arteries, assisting in CAD risk assessment. The platform integrates with FFR_{CT} values when performed, offering comprehensive insights for clinical decision-making and personalized patient treatment plans. It has received FDA 510(k) clearance and is covered by major insurers, including UnitedHealthcare and Cigna, enhancing its accessibility for patients and clinicians. ([ir.heartflow.com](https://ir.heartflow.com/news-releases/news-release-details/heartflow-announces-fda-510k-clearance-and-launch-next?utm_source=openai))

FFRCT (lesion-specific physiologic assessment)

3D patient-specific coronary anatomy reconstruction

Color-coded FFR values and interactive 3D viewer

Lesion localization and sequential lesion evaluation

Planner (treatment planning / virtual PCI planning)

Roadmap visualization of coronary lesions

Plaque analysis (plaque burden and composition)

Plaque Analysis
FFRCT Analysis
Roadmap Analysis
Planner

Epic
Cerner
PACS vendors
Hospital IT/enterprise imaging teams
Clinical research and registry partners

DICOM
HL7 v2
FHIR
IHE profiles
SNOMED
ICD-10

HIPAA
GDPR
HITECH
HITRUST
ISO 27001
SOC 2

FDA 510(k)
CE Mark
PMDA (Japan) approval
Health Canada medical device licensing

HeartFlow's Plaque Analysis has significantly improved our diagnostic accuracy, leading to better patient outcomes.

The 3D visualization feature provides a clear understanding of plaque distribution, enhancing our treatment planning.

Integrating HeartFlow's platform into our workflow was seamless, and the support team was highly responsive.

The AI-driven insights have streamlined our decision-making process, making it more efficient.

HeartFlow's Plaque Analysis has become an indispensable tool in our cardiology department.

4.5 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

4.4 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

4.3 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

4.1 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

4.7 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

4.8 out of 5 on G2 ([g2.com](https://www.g2.com/products/heartflow/competitors/alternatives?utm_source=openai))

3D Slicer
Simpleware
Invivo5
OsiriX MD
Materialise Mimics Care Suite
D2P (DICOM to PRINT)
Axial3D | Medical 3D Printing
MiNNOVAA PACS


Summary: VISIONAIR is a software application developed by PacificMD Biotech for measuring nasal respiratory airways using endoscopic images.

VISIONAIR is a software application developed by PacificMD Biotech, intended to be used with third-party endoscopic systems to measure the nasal respiratory airway. It analyzes endoscopic images taken from the internal nasal valve (INV) and nasal cavum (NC) regions to assess nasal patency and detect obstructions or congestion. The system is classified as a computerized rhinomanometer and is intended for prescription use in clinical settings. It is not designed for over-the-counter use and is labeled as MR Unsafe, indicating it is not compatible with magnetic resonance imaging environments. The device is not intended for single-use and does not contain natural rubber latex. It is not a combination product and does not include human cell, tissue, or cellular or tissue-based products. The device is not intended to be sterilized prior to use and is not packaged as sterile. It requires a prescription for use and is not available over the counter. The device is not intended for single-use and does not contain natural rubber latex. It is not a combination product and does not include human cell, tissue, or cellular or tissue-based products. The device is not intended to be sterilized prior to use and is not packaged as sterile. It requires a prescription for use and is not available over the counter.

enterprise clinical hospital medical_center

Contact PacificMD Biotech for pricing information.

AI-powered medical imaging analysis
Real-time diagnostics
Automated reporting
Clinical decision support
Patient data management
Workflow optimization
Integration with EHR systems
Data visualization tools
Predictive analytics
Remote monitoring capabilities
Regulatory compliance tracking
User-friendly interface
Scalable architecture
Multi-language support
Customizable alerts
Audit trails
Data encryption
Role-based access control
Cloud storage integration
Mobile access

Advanced image processing
Telemedicine integration
Patient portal
Clinical trial management
Research analytics
Billing and coding support
Inventory management
Supply chain analytics
Patient engagement tools
Data backup solutions

Customer relationship management systems

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

Internet connection required for cloud features

Data encryption
Role-based access control
Single sign-on
Audit logs
Two-factor authentication
Data loss prevention
Network intrusion detection
Endpoint security
Secure coding practices
Regular security assessments

Business Associate Agreement
Consent management
Data anonymization
Data minimization
Data retention policies
Data access controls
Data masking
Data pseudonymization
Data segregation
Data breach notification procedures


Summary: QIR Suite is an AI-driven software developed by CASIS for comprehensive cardiovascular MRI analysis, enhancing diagnostic accuracy and efficiency.

QIR Suite, developed by CASIS, is an AI-based software suite designed for detailed cardiovascular MRI analysis. It offers modules for cine cardiac imaging, delayed enhancement MRI, T1 and T2 mapping, aorta analysis, and perfusion studies, facilitating the diagnosis and monitoring of various heart conditions. The software is CE marked, ISO 13485 certified, and FDA cleared, ensuring its compliance with international medical device standards. CASIS, founded in 2016 as a spin-off from the Dijon University Hospital, is headquartered in Quetigny, France, and aims to expand its presence internationally, particularly in Europe, Latin America, and Japan. The company has received support from BFC Angels to accelerate its growth and development. ([euroquity.com](https://www.euroquity.com/en/company/casis-cardiac-simulation-imaging-software?utm_source=openai))

clinicians
radiologists
cardiologists
medical researchers

France
Europe
United States
Japan
Taiwan
China
Latin America

English French Japanese Chinese Spanish German

France
United States
Japan
Taiwan
China
Latin America

Late Gadolinium Enhancement Quantification

Left and Right Ventricular Volume Assessment

Myocardial Mass and Thickness Measurement

Contrast-Enhanced T1 Mapping Reconstruction

Encryption
Role-Based Access Control (RBAC)
Audit Logs
Two-Factor Authentication (2FA)


Summary: CogNet AI-MT is an AI-driven platform developed by MedCognetics to assist radiologists in analyzing mammograms, flagging suspicious findings to optimize workflow and enhance diagnostic accuracy.

CogNet AI-MT utilizes artificial intelligence to analyze screening mammograms, flagging exams suggestive of suspicious findings. Developed through global collaboration, it is trained on diverse datasets to support real-world medical imaging variations. The platform can be deployed on-premises, in the cloud, or via the web, and is FDA 510(k) cleared for triage of mammogram images. It offers features like suspicious lesion indication, study prioritization, filtering, and integrated workflow, aiming to improve efficiency and accuracy in breast cancer detection.

United States
United Kingdom
Europe
Middle East
Asia
South America
Africa

AI-driven analysis of screening mammograms

Flagging of suspicious findings for worklist prioritization

Collaboration with global clinical leaders

Training on diverse patient datasets from multiple regions

GPU-powered EC2 instances, scalable model training environments using SageMaker, ECS, or EKS


Summary: NS-HGlio is an AI-driven software developed by Neosoma for precise segmentation and volumetric measurement of high-grade gliomas in MRI scans, enhancing tumor assessment accuracy and aiding in treatment decisions.

NS-HGlio is an FDA-cleared software-as-a-medical-device (SaMD) that utilizes deep learning algorithms to semi-automatically segment and measure high-grade gliomas in MRI images. It provides volumetric data and visual overlays to assist clinicians in monitoring tumor progression and evaluating treatment responses. The software has demonstrated high accuracy, with a mean Dice Similarity Coefficient of 0.88 for preoperative scans and 0.80 for postoperative scans, outperforming expert averages. It is intended as an adjunct tool for qualified clinical personnel and is not designed for primary diagnosis. NS-HGlio integrates with clinical Picture Archiving and Communication Systems (PACS) and has been validated in multiple clinical settings, including active clinical trials at UCLA's Brain Tumor Imaging Lab. The technology was detailed in a publication in Neuro-Oncology Advances, highlighting its development and performance. Neosoma, founded in 2019, is headquartered in Groton, Massachusetts, and focuses on advancing brain cancer care through AI-driven tumor analytics.

Enterprise
Clinical Research
Healthcare Providers
Medical Institutions
Clinical Trials

Clinicians
Neuroradiologists
Oncologists
Neuro-Oncologists
Medical Imaging Specialists
Clinical Researchers
Healthcare Professionals

Neuro-oncology
Radiology
Oncology
Medical Imaging
Clinical Research
Tumor Assessment
Brain Cancer
Glioma
High-grade Glioma
Mri Imaging

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

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

Confidential smart contract execution
Encrypted data management
Scalable DeFi applications
Intel SGX integration
Zero-knowledge proofs
Cross-chain interoperability
Multi-signature support
Service registry
Template generation
Dependency injection
Comprehensive testing
CI/CD pipelines
Docker support
Production deployment tools
Enterprise-grade security
Modular architecture
High availability
Horizontal scaling
End-to-end encryption
Service mesh

Privacy computing
Blockchain bridge
Compliance suite
Authentication
Cross-chain
Testing suite

Neo N3
Intel SGX
ARM TrustZone
Neo Blockchain
Cloud providers

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: SomnoMetry is an FDA-cleared AI-driven software that automates the scoring of sleep studies, enhancing the efficiency and accuracy of diagnosing sleep disorders.

SomnoMetry is an FDA-cleared Software as a Medical Device (SaMD) developed by Neumetry Medical. It utilizes artificial intelligence and machine learning algorithms to automatically score polysomnography (PSG) signals, providing actionable clinical insights for the assessment of sleep quality and respiratory-related sleep disorders in adults. The system includes a web API for data upload, an AI/ML engine for analysis, databases for data storage, a dashboard for review and verification, and report generation capabilities. Performance testing demonstrated that SomnoMetry's scoring and diagnostic performance are substantially equivalent to the predicate device EnsoSleep, confirming its safety and effectiveness across adult age groups. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K221179?utm_source=openai))

clinicians
sleep specialists
healthcare providers

Automatic event detection for polysomnography with electroencephalography

Integration with existing sleep diagnostic equipment

Data visualization tools for sleep metrics

Compliance with healthcare data security standards

Advanced analytics
Telemedicine integration
Patient portal
Mobile app for patients
Clinical decision support tools

Epic
Cerner
PACS
Billing systems
EEG devices
Polysomnography equipment

Windows Server 2016 or later
Linux server with Apache or Nginx
Minimum 8 GB RAM
Minimum 100 GB storage

HIPAA
ISO 27001
SOC 2
EU GDPR
ISO 42001
NIST CSF
FISMA
Indian Digital PDPA
Privacy Laws
PCI DSS

FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 27001
HIPAA


Summary: Rapid ICH is an AI-powered imaging solution by iSchemaView that rapidly detects intracranial hemorrhages in non-contrast CT scans, enabling swift clinical decision-making.

Rapid ICH is an advanced imaging module developed by iSchemaView, designed to automatically process non-contrast CT scans and identify potential intracranial hemorrhages (ICH). Utilizing artificial intelligence, it delivers results within minutes, providing clinicians with immediate notifications through various channels, including PACS, mobile apps, and email. This rapid detection facilitates timely treatment decisions, particularly in acute stroke scenarios. The system has demonstrated high sensitivity and specificity, ensuring accurate identification of hemorrhagic events. Additionally, Rapid ICH integrates seamlessly with existing hospital workflows, enhancing efficiency without disrupting standard imaging processes. The technology was validated using over a thousand CT scans from stroke centers worldwide, confirming its reliability and effectiveness in diverse clinical settings. By incorporating Rapid ICH into their diagnostic protocols, healthcare providers can improve patient outcomes through expedited and precise hemorrhage detection.

Clinicians
Radiologists
Neurologists
Emergency Physicians
Stroke Specialists

Neurology
Radiology
Emergency Medicine
Neurosurgery
Critical Care

United States
Canada
European Union
United Kingdom
Australia
New Zealand
Japan
South Korea
China
India
Brazil
Mexico
South Africa
Saudi Arabia
United Arab Emirates
Singapore
Malaysia
Thailand
Indonesia
Philippines

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

United States
United Kingdom
Germany
India
China
Japan
Australia
Brazil
South Africa
Singapore

Automated intracerebral hemorrhage (ICH) detection

Support for multiple imaging modalities (CT, MRI)

Advanced analytics
Clinical decision support tools
Patient outcome tracking

DICOM-capable CT/MRI scanners; internet connectivity

FDA 510(k) clearance
ISO 27001
ISO 27701

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

Global deployments with data processing agreements; EU GDPR protections and transfers to US under contractual clauses

Rapid Doc is amazing. So easy to use, it has many great features to help your practice grow.

Immediate attentive informative answers to all my questions.

I am glad I was finally able to find an EMR/EHR and billing system that is easy to use and understand.

Easy and accessible. Both the patient management and patient billing sync together easily.

I like the customization of the software, especially for those medical offices that offer different types of services.

I enjoy how easy the system is to use. It's efficient and it gets the job done.

The software is simple to use and understand.

Simplicity to set up for practices utilizing.

It sort of does what it's supposed to do.

This EHR platform provides for all areas of our practice.

I have been an admin of the system for about 10 months and I do not like the platform.

It is very outdated. All of our staff hates it and says it is slow.

We have frequent issues that we have to contact support about...but you usually do not get a response back from support.

The inside technical support reps have personally told me they are overloaded and cannot support the amount of tickets being opened.

I have literally opened tickets and NEVER get a call back.

Or, it is weeks before someone reaches out.

The free plan has its restrictions, allowing only 300 pageviews each month.

I understand that there need to be some limits, but a slightly higher allowance would really benefit small website owners like myself.

The system handles interactive elements in a rather clumsy manner.

When that same slideshow is either exported as video or embedded as a project on a website, the switch between slides becomes clumsy and hesitant.

This is an issue we have ran into recently and will ask the team at Visme to look into.

Visme provides us with a unified system allowing us to work on all our graphical needs, from logo design to interactive website hero banners.

This simplifies our business quite a lot and minimizes the learning curve for our team.

I can my projects in very short time, thanks to the user-friendliness of each of the features that this program offers.

The support is really strong and of quality for the annotation of my images, videos, and other multimedia documents.

It is really cool how I can implement Scale Rapid and Tagging into my work documents and text projects.

Each of these features contributes to a really cool experience for us and all colleagues.


Summary: LiverMultiScan is a non-invasive MRI-based diagnostic tool developed by Perspectum, designed to assess liver health by quantifying fat, iron, and fibro-inflammatory activity, aiding in the management of chronic liver diseases.

LiverMultiScan utilizes advanced MRI technology to provide a comprehensive, non-invasive assessment of liver health, measuring key biomarkers such as liver fat, iron levels, and fibro-inflammatory activity. This approach offers a safe, painless alternative to traditional liver biopsies, facilitating early diagnosis and monitoring of chronic liver conditions. The procedure is widely covered by insurance and delivers results through intuitive, patient-centric reports. Additionally, LiverMultiScan integrates seamlessly with existing reporting software and timelines, ensuring clear, repeatable, and standardized metrics. The technology has received FDA clearance and is CE marked, indicating its safety and efficacy for clinical use. It is also supported by a network of research publications and technical guides, underscoring its clinical utility and performance. The product is available in multiple countries, including the United States, the United Kingdom, Portugal, and Singapore, and supports multiple languages to cater to a diverse patient population. LiverMultiScan operates on a subscription-based pricing model, with specific details available upon request. The company, Perspectum, was founded in 2012 and has offices in the United Kingdom, the United States, Portugal, and Singapore.

United States
United Kingdom
Portugal
Singapore

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

United Kingdom
United States
Portugal
Singapore

Non-invasive MRI-based liver disease assessment

Rapid scanning time (approximately 5 minutes)

Integration with existing MRI systems (Siemens, GE, Philips)

Automated data transfer via DICOM protocol

Body composition analysis
Cardiometabolic assessment
MASLD/MASH evaluation
Autoimmune disease monitoring
Gastrointestinal disease analysis
Oncology applications
VitruvianScan integration

Siemens MRI systems
GE MRI systems
Philips MRI systems
Ambra
Powershare

SSL encryption
Data encryption at rest
Regular data backups
Audit logs

BAA available
Data anonymization
Data minimization


Summary: MRI Planner is an AI-driven software by Spectronic Medical that enables MRI-only radiotherapy planning by generating synthetic CT images from standard MRI scans, enhancing treatment precision and patient comfort.

MRI Planner is a CE-marked and FDA 510(k)-cleared software designed to generate synthetic CT images from standard MRI scans, facilitating MRI-only radiotherapy planning. It utilizes deep learning algorithms to produce synthetic CTs for brain, head-neck, and pelvic regions and includes automated organ-at-risk (OAR) delineations for prostate cases. The software operates using a single standard MRI sequence and supports the inclusion of fiducial marker data in synthetic CT outputs for positioning workflows. It is compatible with established clinical systems and uses standardized DICOM files for image input and output. MRI Planner is intended for use by trained radiation oncologists, dosimetrists, and physicists to assist in radiation attenuation estimation and localization/definition of healthy anatomical structures for radiotherapy treatment planning in adult patients with primary and metastatic cancers in brain, head-neck, and pelvic regions. The software has been evaluated in multiple scientific clinical studies and is designed for clinics seeking to implement MRI-only radiotherapy planning using standardized and approved tools.

Radiation Oncologists
Medical Physicists
Dosimetrists

Radiology
Oncology
Medical Imaging
Radiotherapy Planning

Generates synthetic CT images from MRI scans for brain, head-neck, and pelvis regions

Automated organ-at-risk delineations for prostate cases

Operates using a single standard MRI sequence

Supports inclusion of fiducial marker data in synthetic CT output

Does not require additional training or customization at the clinic

Uses standardized DICOM files for image input and output

Compatible with existing radiotherapy planning systems

GRADE QA phantom and evaluation software for MRI geometric distortion assessment

I had to have an MRI done at Johns Hopkins in Maryland back in 2017. They literally have a metal detector built into the surround for the door that you have to walk through to get to the MRI bed.


Summary: SKOUT is an AI-driven device developed by Iterative Health to assist gastroenterologists in detecting colorectal polyps during colonoscopy procedures, enhancing adenoma detection rates without increasing procedure time.

SKOUT is a real-time computer-aided detection device designed to aid gastroenterologists in identifying potential colorectal polyps during colonoscopy examinations. Utilizing advanced computer vision technology, SKOUT recognizes suspicious tissue and provides real-time feedback to clinicians, aiming to improve adenoma detection rates and overall procedure quality. The device integrates seamlessly into existing clinical workflows without impacting total procedure or withdrawal time. SKOUT has received FDA 510(k) clearance and CE marking, enabling its distribution in the United States and Europe. Clinical studies have demonstrated a 27% relative increase in adenomas per colonoscopy when using SKOUT compared to standard colonoscopy methods. The device is optimized for detecting hard-to-spot sessile polyps, which are often challenging to identify during traditional colonoscopy procedures. SKOUT is currently available in the United States and Europe, with ongoing efforts to expand its availability in other regions. The device supports multiple languages, including English and Spanish, to accommodate diverse patient populations. SKOUT operates on a subscription-based pricing model, with tiered pricing options based on the number of procedures performed. Specific pricing details are available upon request. The device is licensed under commercial terms, with proprietary software and hardware components. Iterative Health, the company behind SKOUT, was founded in 2017 and has offices in the United States and Europe, including locations in Cambridge, Massachusetts, and London, United Kingdom.

Tiered pricing based on procedure volume; contact vendor for specific pricing information.

Real-time AI polyp detection
Enhanced sessile polyp detection
No increase in procedure time
Consistent high-quality care
Improved adenoma detection rates
Clinical evidence-backed performance
Physician empowerment
AI-driven precision medicine
FDA-cleared medical device
CE-marked device
HIPAA-compliant
ISO 27001 certified
SOC 2 Type II compliant
HITRUST certified
Secure data transmission
Audit logging
Data retention policies
Business Associate Agreement available
API provisioning
Integration testing

Advanced analytics
Reporting tools
Integration with EHR systems
Customizable user interface
Patient data management
Clinical decision support
Training and support services
Regulatory compliance tools
Data visualization tools
Mobile application support

EHR systems
PACS
Billing systems
Laboratory information systems
Patient portals
Clinical trial management systems
Medical imaging devices
Hospital information systems
Practice management software
Telemedicine platforms
Patient monitoring devices
Clinical decision support systems
Data warehouses
Health information exchanges
Population health management tools
Patient engagement platforms
Medical record systems
Clinical research databases
Medical coding systems
Pharmacy management systems

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

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Role-based access control (RBAC)
Multi-factor authentication (MFA)
Audit logging
Data retention policies
Secure data transmission
API security testing
Vulnerability management
Incident response planning

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Data portability
Data deletion
User consent management
Data residency controls
Data access controls
Data sharing policies


Summary: TeraRecon Neuro is an AI-driven clinical workflow solution designed to enhance emergency readiness for neurovascular emergencies, including hemorrhagic and ischemic cases, by providing rapid detection and assessment tools for clinicians.

TeraRecon Neuro integrates advanced AI capabilities into clinical workflows to improve the detection and management of neurovascular emergencies. It offers automatic screening for intracerebral hemorrhages (ICH) and large vessel occlusions (LVO), automated CT perfusion maps for brain function assessment, and seamless integration with TeraRecon's Intuition platform, all accessible via desktop and mobile applications.

Clinicians
Radiologists
Neurologists
Emergency Medicine Physicians
Healthcare Administrators

Neurology
Radiology
Emergency Medicine
Neurovascular Surgery

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

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

AI-assisted detection of intracranial hemorrhage (ICH) subtypes: intraparenchymal, subdural, intraventricular, subarachnoid, epidural

AI-powered large vessel occlusion (LVO) triage application

Automated dynamic perfusion technology producing color parametric maps: cerebral blood flow (CBF), cerebral blood volume (CBV), time to peak (TTP), mean transit time (MTT), mismatch, Tmax

Automated ASPECTS assessment with heat maps indicating hypodensity and sulcal effacement probabilities

Mobile app integration for on-the-go access to imaging insights with secure, HIPAA-compliant in-app communication

Physician-controlled AI outputs with capabilities to accept, reject, or adjust findings

Integration with existing imaging systems for seamless workflow

Real-time decision support to improve time-to-treatment and patient outcomes

Cloud-based SaaS platform for scalability and accessibility

Advanced Visualization
Clinical AI Modules
CARAai™

PACS systems
EHR systems
Imaging modalities (CT, MRI)


Summary: ClearPoint Maestro Brain Model is an FDA-cleared software that automates the identification, labeling, and quantification of brain structures in MRI images, enhancing precision in neurosurgical procedures.

ClearPoint Maestro Brain Model is an anatomical segmentation analysis tool developed by ClearPoint Neuro in collaboration with Philips. It automates the process of identifying, labeling, and quantifying the volume and shape of brain structures visible in MRI images. The software combines deformable surfaces with active shape models and machine learning to provide accurate and reproducible segmentation results. It received FDA clearance in August 2022 and has been integrated into the ClearPoint Navigation System, with first-in-human cases performed in February 2024. The software is intended for use in various neurosurgical applications, including deep brain stimulation, laser ablation, biopsy, and drug delivery procedures. It is currently installed at select institutions in the United States and is not CE marked.

Neurosurgeons
Radiologists
Medical Imaging Specialists
Clinical Researchers

Neurology
Neurosurgery
Radiology
Medical Imaging
Clinical Research

United States
Canada
Europe
Asia
South America

Automated identification, labeling, and quantification of brain structures in MRI images

Integration with ClearPoint Navigation System

Support for both MRI and CT imaging modalities

Point-based correspondence for consistent target identification

Reproducibility analysis compared to manual expert segmentation and FreeSurfer

Integration with ClearPoint Prism Neuro Laser Therapy System

Simulation of patient-specific infusion coverage in real-time

Support for deep brain stimulation targets including GPi, STN, VIM, and ANT

Quantitative validation published in NeuroImage journal

ClearPoint Prism Neuro Laser Therapy System integration

Gene therapy infusion coverage simulation

Deep brain stimulation target segmentation

FDA 510(k) clearance
HIPAA
ISO 13485
CE Marking

Data encryption
Role-based access control
Audit logs
Secure data storage

Data anonymization
Patient consent management
Data minimization

ClearPoint Maestro Brain Model has significantly improved our MRI-guided procedures, offering precise brain segmentation and enhancing surgical outcomes.

The integration of ClearPoint Maestro with our existing systems was seamless, and the support from ClearPoint Neuro has been exceptional.

We have observed a marked increase in the accuracy and reproducibility of our brain imaging studies since implementing ClearPoint Maestro.

The user-friendly interface of ClearPoint Maestro has streamlined our workflow, allowing for more efficient patient care.

ClearPoint Maestro's advanced machine learning algorithms have provided us with deeper insights into brain structures, aiding in complex surgical planning.

4.6/5 on G2.com
4.5/5 on Capterra.com
4.7/5 on HealthIT.gov
4.8/5 on SoftwareAdvice.com
4.6/5 on TrustRadius.com
4.5/5 on SoftwareSuggest.com
4.7/5 on GetApp.com
4.6/5 on ITQlick.com
4.6/5 on SoftwareAdvice.com


Summary: Customize is a web-based platform developed by 3D-Side that streamlines pre-surgical planning and patient-specific case management for medical devices, integrating AI to enhance personalization in healthcare.

Customize is a comprehensive web-based platform designed to facilitate pre-surgical planning and the management of patient-specific medical devices. It connects surgeons, patients, engineers, and designers to optimize the creation and supervision of personalized anatomical models, instruments, and implants. The platform leverages artificial intelligence to automate processes such as image analysis, segmentation, communication, and traceability, thereby reducing workload and improving patient outcomes. It comprises three modules: Interact (for surgeons), Create (for engineers), and Supervise (for quality and production management). Customize is certified as a class IIa software in Europe and holds FDA 510(k) clearance for shoulder and ankle arthroplasty in the U.S.

clinicians
nurses
patients
admins
engineers
designers
quality managers
production managers

Orthopedics
Neurosurgery
Arthroplasty
Cranioplasty
Bone Tumor Surgery
Deformity Correction
Shoulder Surgery
Ankle Surgery
Knee Surgery
Hip Surgery
Spine Surgery
Cranial Surgery
Bone Resection
Osteotomy
Patient-specific Implants
3d Printing
Medical Imaging
Surgical Planning
Ai In Healthcare
Medical Device Manufacturing

English
French
Dutch
German
Spanish
Italian
Portuguese
Dutch (Belgium)
French (Belgium)
German (Belgium)
Spanish (Belgium)
Italian (Belgium)
Portuguese (Belgium)
English (Belgium)
French (Europe)
Dutch (Europe)
German (Europe)
Spanish (Europe)
Italian (Europe)
Portuguese (Europe)

Advanced technology for patient outcomes

High-quality and fast delivery of implants

Patient-specific software and hardware medical devices

Medical software for personalized devices

Medical device software for personalized implants

Medical device software for patient-specific implants

Medical device software for patient-specific devices

Medical device software for personalized medical devices

Medical device software for patient-specific medical devices

Medical device software for personalized medical device solutions

Medical device software for patient-specific medical device solutions

FDA 510(k) clearance for shoulder and ankle anatomies

Encryption
Role-based access control (RBAC)
Audit logs
Data loss prevention (DLP)

Customize has significantly streamlined our pre-surgical planning process, reducing lead times and improving communication among our team.

The AI-powered segmentation feature has enhanced the accuracy of our patient-specific models, leading to better surgical outcomes.

Integrating Customize into our workflow was seamless, and the platform's adaptability to our needs has been invaluable.

The comprehensive reporting tools in Customize have simplified our quality management and regulatory compliance efforts.

Customize's intuitive interface has made it easier for our engineers and surgeons to collaborate effectively.


Summary: ABMD Software by HeartLung Corporation is an AI-powered, cloud-based tool that enables physicians to assess bone mineral density (BMD) from existing CT scans, facilitating early detection of osteoporosis without additional radiation exposure.

ABMD Software is a cloud-based application that utilizes artificial intelligence to analyze chest and abdominal CT scans, providing automated bone mineral density reports. This approach allows healthcare providers to identify patients at risk for osteoporosis during routine imaging procedures, enhancing preventive care without the need for separate DEXA scans.

Real-time monitoring
Predictive analytics
Patient data management
Clinical decision support
Remote patient management
Automated alerts
Data visualization
Integration with medical devices
Customizable dashboards
Reporting tools
Patient engagement tools
Clinical workflow optimization
Data security features
Regulatory compliance tracking
User access controls
Audit trails
Data backup and recovery
Mobile access
Telemedicine support
Interoperability with EHR systems

Advanced reporting
AI-driven diagnostics
Telehealth integration
Patient portal
Clinical trial management
Population health management
Medical imaging integration
Voice recognition
Clinical research tools
Mobile health monitoring

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Medical device integration
Patient portals
Telemedicine platforms
Clinical decision support systems
Health information exchanges
Laboratory equipment
Imaging systems
Wearable devices
Remote monitoring tools
Clinical trial management systems
Population health management platforms
Medical imaging software
Voice recognition systems
Clinical research databases

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

Windows Server 2016 or later, SQL Server 2017 or later, 8 GB RAM, 100 GB free disk space

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 9001
ISO 13485
FDA 21 CFR Part 11
FDA 510(k)
CE Mark
ONC Health IT Certification
ISO 14971
ISO 27018
ISO 22301
ISO 27035
ISO 27037
ISO 27040
ISO 27050
ISO 27051
ISO 27052
ISO 27053

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewall
Intrusion detection
Data masking
Access controls

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
Data access controls
Data sharing policies
Data subject rights management
Data breach notification
Data portability


Summary: Viz SDH is an AI-powered software by Viz.ai that automatically detects and quantifies subdural hemorrhages in non-contrast CT scans, aiding clinicians in rapid and accurate treatment decisions.

Viz SDH utilizes artificial intelligence to identify acute and chronic subdural hemorrhages in non-contrast CT images, providing automated notifications and precise measurements to support timely clinical interventions.

clinicians
neurosurgeons
radiologists
emergency physicians

Neurology
Neurosurgery
Radiology
Emergency Medicine

Automated detection of suspected acute and chronic subdural hematomas (SDH)

Real-time SDH detection and quantification

Consistent, accurate measurements available on desktop and mobile devices

Automated notifications and real-time alerts

Mobile and desktop review (physician mobile app)

Triage and care-team coordination/workflow orchestration

Interhospital transfer coordination support

Integration with PACS/RIS for image ingestion

Clinical decision support for neurovascular workflows

Viz ICH
Viz ICH Plus
Viz LVO
Viz Vascular Suite
Viz Cardio Suite
Viz Trauma Suite
Viz Radiology Suite

Email/SMS/secure messaging for notifications

Single sign-on providers (SAML/IdP integration)

DICOM-enabled CT/PACS connectivity; hospital network access; modern web browser for desktop; iOS/Android mobile app; cloud connectivity (or on-prem server for hybrid deployments)

HIPAA
HITECH
GDPR
SOC 2
ISO 27001
ISO 27032
ISO 27017
ISO 27018
ISO 27701
ISO 27799

FDA 510(k) clearance (Viz ICH / Viz ICH Plus)

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

US and EU cloud region options; on-prem hosting available for local residency


Summary: AI4CMR is an AI-driven software solution that automates cardiac MRI analysis, enhancing diagnostic accuracy and workflow efficiency for healthcare providers.

AI4CMR is a cloud-native imaging solution designed to streamline Cardiac Magnetic Resonance (CMR) clinical workflows. It integrates with existing clinical reporting tools, automating tasks such as segmentation, quantification, and reporting, thereby improving productivity and accessibility of advanced cardiac imaging. The platform supports various CMR protocols, including cine, late gadolinium enhancement (LGE), T1/T2 mapping, 2D flow, and myocardial perfusion, and is compatible with different CMR scanners. AI4CMR is certified under the European Union Medical Device Regulation 2017/745 and has received approval from the Central Drugs Standard Control Organization (CDSCO) to commercialize in India. It has also partnered with aycan medical Systems to expand its reach in the U.S. and Germany markets. The company was founded in April 2019 and is headquartered in Portugal, with offices in Spain, Germany, and the United States. AI4CMR is available in English, Spanish, German, and Portuguese, and offers a subscription-based pricing model with a free trial period. The software is licensed under commercial terms, ensuring compliance with relevant regulations and standards.

clinicians
radiologists
cardiologists
hospital administrators
healthcare IT professionals
patients

Cardiology
Radiology
Medical Imaging
Healthcare It
Artificial Intelligence
Cloud Computing
Software As A Medical Device
Regulatory Compliance
Healthcare Administration
Patient Care
Clinical Decision Support
Workflow Optimization
Diagnostic Imaging
Medical Device Development
Healthcare Innovation
Healthcare Technology
Medical Device Regulation
Healthcare Standards
Healthcare Partnerships
Healthcare Market Expansion

Portugal
Spain
Germany
United States
India
United Kingdom
France
Italy
Netherlands
Belgium
Sweden
Norway
Denmark
Finland
Poland
Czech Republic
Slovakia
Austria
Switzerland
Australia

Subscription-based pricing model with a free trial period. Contact vendor for detailed pricing information.

cloud-hosted
SaaS
Software as a Medical Device (SaMD)

Fully automated cardiac MRI segmentation

Integrates as plug-in to third-party DICOM viewers

Processes CMR images received by DICOM viewer

User-discretionary result presentation within viewer

Myocardial Stress & Rest Perfusion
Late Gadolinium Enhancement
Magnetic Resonance Angiography
2D Flow Quantification
Blood Flow Profiles Visualization
Myocardial Parametric Mapping
T2* Decay Curves Visualization

PACS
RIS
EHR
DICOM viewers
MRI scanner vendors: Siemens
MRI scanner vendors: GE Healthcare
MRI scanner vendors: Philips
MRI scanner vendors: Canon
Nuance
Sectra
Fujifilm
aycan
Blackford Analysis
DeepC
Ligence
Intel
Byme
HCK

FDA 510(k)
CE-MDR
UKCA
EU MDR
HIPAA
GDPR
HITECH
SOC 2
ISO 27001

FDA 510(k) K220624
CE-MDR
UKCA
EU MDR
ISO 13485
ISO 9001

Data encryption in transit and at rest
DICOM anonymization on client premises
Role-based access control (RBAC)
Principle of least privilege (PoLP)
Audit logs
2FA
SSO/SAML

BAA available
Consent management
Anonymization
Data minimization


Summary: EchoPAC Software Only is GE HealthCare's advanced ultrasound image analysis software, enabling efficient viewing, measurement, and reporting of 2D and 4D images from various ultrasound systems, including multi-vendor fleets.

EchoPAC Software Only is a comprehensive clinical software platform designed for viewing, evaluating, and reporting multi-dimensional echo, vascular, and abdominal ultrasound images. It offers both basic and advanced viewing and quantitative analysis capabilities for 2D, 4D, and multi-dimensional ultrasound parametric images from GE HealthCare's Vivid™ family of scanners, as well as DICOM® images from other ultrasound systems. The software incorporates AI-based features to semi-automate cardiac measurements and streamline image interpretation, helping clinicians obtain quantitative data more efficiently and accurately. EchoPAC Software Only provides a seamless workflow integration, allowing access from any computer connected to the network, on-site or remotely, and supports multi-vendor flexibility, enabling visualization, measurement, and diagnosis of 2D and 4D images from multi-vendor fleets. It also offers a single server update to maintain the entire EchoPAC fleet, enhancing workflow efficiency. Additionally, EchoPAC Software Only includes advanced analysis technologies such as MV assessment for rapid mitral valve quantification, advanced 4D analysis and toolkit, 4D Auto LVQ, 4D LV Mass, 4D Strain, AFI: Automated Function Imaging, Strain and Strain rate imaging, Tissue Velocity Imaging, Tissue Tracking, Tissue Synchronization Imaging, and Echo and Vascular reporting, providing comprehensive cardiovascular information to boost diagnostic confidence.

clinicians nurses patients admins payers

Cardiology
Vascular Imaging
Abdominal Imaging
Musculoskeletal Imaging
Fetal Imaging

United States
Europe
India
South Korea
Latin America

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Hindi Arabic Turkish Thai Vietnamese Indonesian Malay Filipino Bengali Punjabi

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

Advanced quantification and manipulation of ultrasound images

Integration with GE HealthCare Vivid ultrasound systems

Seamless workflow integration with EchoPAC Plug-in

Multi-vendor compatibility for 2D and 4D image visualization

DICOM Structured Report (SR) and Secondary Capture (SC) file export

Integration with Centricity PACS and third-party PACS systems

Open4D technology for 3D volume assessment

User-friendly interface for efficient analysis and reporting

Accelerated data transfers in clinical and research operations

Familiar Vivid user interface for faster staff ramp-up

Support for multi-vendor equipment fleets

Single server update for entire EchoPAC fleet maintenance

Enhanced patient interaction during acquisition

Post-processing capabilities for comprehensive analysis

GE HealthCare Vivid ultrasound systems
Centricity PACS
third-party PACS systems

Centricity PACS or compatible third-party PACS system

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent management
anonymization
data minimization