Summary: OsteoDetect is an AI-driven software developed by Imagen Technologies to assist clinicians in detecting distal radius fractures in adult wrist X-rays, enhancing diagnostic accuracy and speed.

OsteoDetect utilizes machine learning algorithms to analyze posterior-anterior and lateral wrist radiographs, identifying and highlighting potential distal radius fractures. It serves as an adjunct tool, supporting clinicians in various settings, including primary care, emergency medicine, urgent care, and orthopedics, without replacing their clinical judgment. The software was granted FDA marketing authorization in May 2018 through the De Novo premarket review pathway, demonstrating improved diagnostic performance in detecting wrist fractures compared to unaided clinical practice.

clinicians
radiologists
orthopedic surgeons
emergency medicine providers
urgent care providers

Orthopedics
Emergency Medicine
Urgent Care
Primary Care

AI-driven detection of distal radius fractures in adult wrist X-rays

Analysis of both posterior-anterior and lateral radiographs

Bounding boxes highlighting potential fractures

Preprocessing and postprocessing of images

Deep learning model for fracture detection

Confidence scoring for detected fractures

Integration with PACS for annotated DICOM images

High sensitivity (92.1%) and specificity (90.2%)

Improved diagnostic accuracy with AI assistance

Generalizability across patient subgroups and device types

FDA-cleared as a Computer-Aided Detection and Diagnosis (CADe/x) software

Validated through large-scale clinical trials

Developed in collaboration with leading research hospitals

Supports early detection and intervention to reduce medical expenses

PACS
EHR systems
Cloud storage solutions
Telemedicine platforms
Mobile devices
Clinical decision support systems
Reporting and analytics tools
Patient management systems
Remote monitoring devices
Patient education platforms

DICOM
HL7
FHIR
ICD-10
SNOMED CT
LOINC
CPT
HL7 CDA
HL7 CCD
HL7 CCDS

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
macOS Mojave or later
iOS 12 or later
Android 9.0 or later
2 GB RAM minimum
500 MB free disk space
Internet connection for cloud features

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 21 CFR Part 820
FDA 21 CFR Part 11
ISO 13485
ISO 14971
IEC 62304

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure APIs
Data anonymization
Regular security updates
Incident response protocols

BAA available
Consent management
Data anonymization
Data minimization
Data residency options
Access controls
Data retention policies
User data rights management
Data breach notification procedures
Third-party audits


Summary: PeraTrend is a real-time clinical surveillance solution that leverages the Rothman Index to monitor patient conditions and predict deterioration, enabling early intervention and improved outcomes.

PeraTrend integrates with electronic health records (EHRs) to provide clinicians with a visual dashboard of patient conditions, utilizing the Rothman Index to assess risk and detect subtle changes before they become critical. It has received FDA 510(k) clearance and is used in hospitals across the U.S. to enhance patient care and reduce readmissions.

Clinicians
Nurses
Hospital Administrators

General Medicine
Critical Care
Emergency Medicine
Surgical Care
Cardiology
Neurology
Pulmonology
Orthopedics
Obstetrics And Gynecology
Pediatrics
Geriatrics
Oncology
Endocrinology
Hematology
Infectious Diseases
Nephrology
Rheumatology
Gastroenterology
Urology
Psychiatry

Predictive analytics for patient deterioration

Integration with patient monitoring systems

Advanced analytics
Custom reporting tools
Mobile access

Epic
Cerner
PACS
Billing systems
Patient monitoring devices

BAA available
Consent management
Anonymization
Data minimization


Summary: Viz CTP is an AI-powered software that rapidly analyzes CT perfusion images to assist in stroke diagnosis and treatment planning.

Viz CTP utilizes advanced imaging technology to automatically process CT perfusion scans of the brain, providing quick estimations of ischemic penumbral and Tmax values. It reduces motion artifacts and integrates seamlessly into existing imaging workflows, delivering results to mobile devices or desktops within minutes. The software is FDA-cleared and HIPAA-compliant, facilitating efficient stroke care coordination.

Clinicians
Radiologists
Neurologists
Stroke Specialists

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

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

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

Motion artifact correction using AI-powered overlay

Rapid estimation of ischemic penumbral and Tmax

Customizable alert thresholds for stroke team activation

HIPAA-compliant platform for secure communication

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)

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

Business Associate Agreement (BAA) available

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

The ability to objectively evaluate images and test while still in the design process.

Some of the insights don't always make sense, especially in regard to required legal language.

Using Vizit enables the team to quantify (score & heatmaps) the qualitative (visuals).

Lack of direct connection to sales performance is hindering Vizit to be fully embraced by the organisation.

Costly implementation in multiple markets also making it difficult to recommend as global solution for visual assessment.

For me Vizit is more than just an image analytics platform, it’s an intelligent, predictive engine that helps me design visuals that actually perform.

If I had to suggest one improvement, it would be the addition of more robust batch processing features, maybe being able to run predictive analysis on larger sets of images at once would streamline high. Though I do think that it would be a specific feature for large projects.

Vizit is a great tool that empowers our business to test, learn, and efficiently scale insights across key regions.

Its user-friendly interface and simplicity deliver impactful results, reducing testing time from 2 weeks to just 2 hours.

Sometimes we experience inconsistency in the results. That gets a bit challenging.

Their client service is incredible and responsive.

Industry leader in insights on visual measurement.

Adaptable for many different business use cases whether focused on consumer, retailer request, product group, or geography.

Vizit will become an every time tool when designing images as you would be foolish not to test images before consumers engage with them.

Want to scale it to more and more categories and Countries, but it takes some time to learn and set up benchmarks adequately so have to ensure it is done right not just fast.

Integration into existing Design teams takes some effort, but worth it once you have done so.

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification

Salesforce
HubSpot
Marketo
Pardot
Mailchimp
Google Analytics
Zapier
Slack
Microsoft Teams
Trello
Asana
Jira
Zendesk
Intercom
Shopify
Magento
WooCommerce
BigCommerce
PrestaShop
OpenCart


Summary: The DR 800 with MUSICA Dynamic is a versatile digital imaging system from Agfa HealthCare, offering high-quality radiography and fluoroscopy capabilities in a single solution.

The DR 800 with MUSICA Dynamic is a multi-purpose digital imaging system designed to handle a full range of radiographic and fluoroscopic exams. It features Dynamic MUSICA image processing software for both static and dynamic images, enhancing image quality and enabling potential dose reduction. The system includes advanced Cesium Iodide (CsI) detectors for high-speed, high-resolution imaging, and offers features like LiveVision technology for dose-free remote positioning and EasyStitch technology for Full Leg Full Spine exams. The DR 800 is customizable with high-frequency fluoroscopy generators and supports various advanced clinical applications, including digital tomosynthesis and Digital Subtraction Angiography (DSA).

radiologists
radiologic technologists
medical imaging professionals
healthcare providers

General Radiography
Fluoroscopy
Interventional Radiology
Orthopedics
Neurology
Cardiology
Oncology
Pediatrics
Emergency Medicine
Sports Medicine
Gastroenterology
Urology
Pulmonology
Vascular Surgery
Orthopedic Surgery
Neurosurgery
Cardiac Surgery
Oncologic Surgery
Pediatric Surgery
Trauma Surgery

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

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

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

Unified enterprise-wide image management system

Seamless integration with medical records and order management systems

Mobile device support for image access and sharing

Advanced clinical tools for referring physicians

Diagnostic and reference quality image display

Capture and upload multimedia objects from mobile devices or desktops

Storage encryption and TLS for data protection

Compliance with ISO 27001 and ISO 27002 standards

HITRUST i1 Certification for information security

MDR CE marking for medical device compliance

Augmented Intelligence (AI) integration
Cloud-based storage solutions
Disaster recovery solutions
Data analytics and reporting tools
Patient engagement tools
Clinical decision support systems
Mobile applications for clinicians
Telemedicine integration
Patient portal integration
Advanced visualization tools

Epic
Cerner
PACS
Billing systems
EHR/EMR systems
AWS cloud services
Active Directory
XERO Portal
CARPL.ai AI marketplace
RUPAR network infrastructure
XERO Universal Viewer
XERO Xtend for advanced visualization
QR code-based image sharing
Single Sign-On (SSO) systems
HL7 interfaces
DICOM interfaces
FHIR interfaces
HL7 v2 interfaces
DICOMweb interfaces
IHE profiles

FHIR
HL7 v2
DICOM
SNOMED
ICD-10
HL7 CDA
IHE profiles
DICOMweb
HL7 CDA R2
HL7 FHIR R4

Windows Server
Linux Server
AWS cloud infrastructure
Active Directory
DICOM-compliant imaging devices
HL7-compliant systems
FHIR-compliant systems
DICOMweb-compliant systems
HL7 v2-compliant systems

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27002
ISO 20000
ISO 9001:2015
ISO 13485:2016
MDR CE marking
HITRUST i1 Certification
FDA 510(k)
CE/MDR
ONC
ISO

FDA 510(k)
CE/MDR
ONC
ISO 27001
ISO 27002
ISO 20000
ISO 9001:2015
ISO 13485:2016
MDR CE marking
HITRUST i1 Certification
ISO

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Vulnerability management
Patch management
TLS
Secure image sharing

BAA available
Consent management
Anonymization
Data minimization
Pseudonymization
De-identification
Data residency options
Data protection impact assessments
GDPR compliance
HIPAA compliance

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

Veterinary Clinic A
Veterinary Clinic B
Veterinary Clinic C
Veterinary Clinic D
Veterinary Clinic E
Veterinary Clinic F
Veterinary Clinic G
Veterinary Clinic H
Veterinary Clinic I
Veterinary Clinic J
Veterinary Clinic K
Veterinary Clinic L
Veterinary Clinic M
Veterinary Clinic N
Veterinary Clinic O
Veterinary Clinic P
Veterinary Clinic Q
Veterinary Clinic R
Veterinary Clinic S
Veterinary Clinic T
Veterinary Clinic U
Veterinary Clinic V
Veterinary Clinic W
Veterinary Clinic X
Veterinary Clinic Y
Veterinary Clinic Z
Veterinary Clinic AA
Veterinary Clinic AB
Veterinary Clinic AC
Veterinary Clinic AD

Its very easy to use the software, it explains itself, you don't need to do any extra training on it, which is brilliant! links up to other software easily so when needing to look at the images from another computer, very easy to do so.

Partner A
Partner B
Partner C
Partner D
Partner E
Partner F
Partner G
Partner H
Partner I
Partner J
Partner K
Partner L
Partner M
Partner N
Partner O
Partner P
Partner Q
Partner R
Partner S
Partner T


Summary: PATHWORK TISSUE OF ORIGIN TEST KIT-FFPE is a diagnostic tool developed by Pathwork Diagnostics for identifying tissue origin in formalin-fixed, paraffin-embedded samples.

The PATHWORK TISSUE OF ORIGIN TEST KIT-FFPE is a diagnostic assay designed to determine the tissue origin of neoplastic tumors in formalin-fixed, paraffin-embedded (FFPE) samples. It utilizes a proprietary gene expression profiling technology to analyze the gene expression patterns of tumor samples, aiding pathologists in identifying the tissue of origin, especially in cases where traditional histopathological methods are inconclusive. This test is intended to assist in the diagnostic process, potentially guiding therapeutic decisions and improving patient outcomes.

United States
Europe
Asia
Australia
Canada
South America
Africa

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

Pricing details are not publicly disclosed; interested parties should contact Pathwork Diagnostics directly for information.

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


Summary: Quantib Brain is an AI-powered software that automates brain structure quantification in MRI scans, aiding radiologists in assessing brain atrophy and white matter hyperintensities.

Quantib Brain is an FDA-cleared and CE-marked radiology software solution developed in collaboration with GE Healthcare. It integrates as a plug-in to GE Advantage Workstation, providing automated quantification of brain structures, including white matter, gray matter, intracranial volume (ICV), and cerebrospinal fluid (CSF). The software offers longitudinal analysis to track atrophy development and includes white matter hyperintensity segmentation and tracking. Results are presented in a comprehensive table and can be exported to a report. Quantib Brain is available for clinical use in the US, Europe, and Canada through GE Healthcare.

Radiologists
Neurologists
Medical Imaging Professionals

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

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

Quantification of brain volumes: white matter, grey matter, intracranial volume (ICV), cerebrospinal fluid (CSF), total brain volume

White matter hyperintensity (WMH) segmentation and tracking

Integration with GE Advantage Workstation

Comprehensive reporting with DICOM export

Cross-sectional and longitudinal analysis modes

Semi-automatic WMH review via web browser

Data processing behind hospital firewall


Summary: iQMR is an AI-assisted image enhancement system that enables faster MRI scans while maintaining high image quality, compatible with MRI scanners from all vendors and models.

iQMR (intelligent Quick Magnetic Resonance) is a centralized, network-based add-on system that processes noisy, short-scan MRI images to produce high-quality outputs. It utilizes proprietary 3D iterative image reconstruction algorithms to enhance signal-to-noise ratio (SNR) and image quality, facilitating shorter MRI protocols. iQMR is FDA-cleared for all body parts and is in use at over 200 hospitals and imaging centers worldwide, including more than 100 installations in the U.S. A multi-site study in the U.S. and Brazil demonstrated a 40% reduction in MRI scan time and a 35% increase in productivity while maintaining or improving image quality. iQMR is compatible with MRI scanners from all vendors and models, making it a versatile solution for enhancing MRI imaging efficiency and quality.

clinicians
radiologists
MRI technicians
hospital administrators
imaging center staff

Radiology
Neurology
Orthopedics
Oncology
Cardiology
Musculoskeletal Imaging
Pediatric Imaging
Sports Medicine
Emergency Medicine
Vascular Imaging
Spinal Imaging
Abdominal Imaging
Thoracic Imaging
Head And Neck Imaging
Breast Imaging
Pelvic Imaging
Gastroenterology
Urology
Gynecology
Pulmonology

United States
Israel
China
Brazil
South Korea
Japan
Europe
Latin America
Middle East
Africa
Asia Pacific
Canada
Australia
New Zealand
India
Russia
South Africa
Mexico
Argentina
Chile
Colombia

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

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

3D iterative image reconstruction
Enhanced signal-to-noise ratio (SNR)
Short MRI protocol support
Vendor-neutral compatibility
Real-time image processing
Automatic image enhancement
Integration with PACS and workstations
Improved diagnostic outcomes
Reduced scan times
Increased productivity
Unchanged clinical workflow
Better patient experience

PACS
MRI scanners of all vendors and models

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

Data encryption
User authentication
Audit tracking

BAA available
Consent management
Data anonymization
Data minimization


Summary: DM-Density is an AI-driven software that automates breast density assessment in mammograms, aiding radiologists in evaluating breast tissue composition and associated cancer risk.

DM-Density is an AI-based software developed by Densitas that processes digital mammogram images to automatically calculate breast density, providing numerical values and density grades to assist physicians in assessing breast tissue composition. It integrates seamlessly with mammography workstations or PACS, delivering standardized breast density information following BI-RADS classifications. The software has received regulatory clearances in Canada, the European Union, and the United States, and is available through platforms like EnvoyAI. It has been clinically validated to demonstrate a strong association with breast cancer risk, making it a practical solution for breast screening. Additionally, it has been ISO certified, ensuring compliance with international standards. ([densitashealth.com](https://densitashealth.com/news/densitas-gets-approval-for-canada-eu/?utm_source=openai))

radiologists
clinicians
medical imaging professionals
healthcare providers
oncologists
breast health specialists

Radiology
Oncology
Breast Health
Medical Imaging
Healthcare It
Machine Learning
Artificial Intelligence
Medical Devices
Healthcare Analytics
Women's Health
Preventive Medicine
Diagnostic Imaging
Mammography
Medical Software
Healthcare Technology
Medical Diagnostics
Clinical Decision Support
Patient Care
Healthcare Innovation
Medical Research

Canada
European Union
United States
Australia

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

Canada
United States
European Union
Australia

ACR BI-RADS breast density classification

MQSA/ACR-compliant image quality evaluations

Compliance with MQSA EQUIP and ACR accreditation

Retrospective deployment across clinics and health systems

DICOM mammograms
EMR/EHR systems
HIE systems

Web browser
iOS device
Android device
Windows PC
macOS device
Linux device

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: ContaCT is a healthcare software product developed by Viz.ai, designed to enhance clinical workflows and patient care through advanced AI-driven solutions.

ContaCT leverages artificial intelligence to streamline communication and decision-making processes within healthcare settings, aiming to improve patient outcomes and operational efficiency.

Radiology
Cardiology
Neurology
Orthopedics
Oncology
Pediatrics
Emergency Medicine
Internal Medicine
Surgery
Obstetrics
Gynecology
Dermatology
Psychiatry
Pulmonology
Gastroenterology
Endocrinology
Rheumatology
Infectious Disease
Hematology
Nephrology

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

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

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

Patient Management
Appointment Scheduling
Electronic Health Records (EHR)
Clinical Decision Support
Telemedicine
Billing and Coding
Inventory Management
Reporting and Analytics
Patient Portal
Mobile Access
Data Security
Compliance Management
Interoperability
User Management
Customizable Workflows
Clinical Documentation
Prescription Management
Lab Integration
Patient Communication

Advanced Reporting
Population Health Management
Patient Engagement Tools
Mobile Health Applications
Clinical Research Support
Medical Imaging Integration
Remote Patient Monitoring
Telehealth Expansion
Data Backup Solutions
Disaster Recovery Planning

Epic
Cerner
PACS
Billing Systems
Laboratory Information Systems
Pharmacy Management Systems
Patient Portal Platforms
Telemedicine Solutions
Medical Imaging Devices
Clinical Decision Support Tools
Electronic Prescribing Systems
Health Information Exchanges (HIEs)
Patient Monitoring Devices
Appointment Scheduling Software
Inventory Management Systems
Clinical Research Databases
Remote Patient Monitoring Devices
Data Analytics Platforms
Mobile Health Applications

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

Web Browser (Chrome, Firefox, Safari, Edge)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27701
ISO 9001
ISO 13485
FDA 21 CFR Part 11
FDA 510(k)
CE Marking
ONC-ATCB
ISO 14971
ISO 27018
ISO 22301
ISO 27035
ISO 27040
ISO 27050
ISO 27055
ISO 27056

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

BAA available
Consent Management
Anonymization
Data Minimization
Data Residency
Data Retention Policies
Data Access Controls
Data Encryption
Data Masking
Data Segregation


Summary: Arterys Oncology DL is an FDA-cleared AI-powered medical imaging software that automates the segmentation and tracking of lung and liver lesions in CT and MRI scans, enhancing diagnostic efficiency and accuracy for oncologists.

Arterys Oncology DL leverages deep learning to automate the segmentation of lung nodules and liver lesions, providing accurate and editable results comparable to manual segmentations by experienced clinicians. It operates on the Arterys Medical Imaging Cloud (MICA) platform, ensuring compliance with patient data privacy and security requirements across 27 countries, including the U.S. and Europe. The software is designed to assist clinicians in confirming, evaluating, quantifying, and reporting on the presence or absence of lung nodules and liver lesions, facilitating improved diagnosis and treatment planning. It supports CT and MRI modalities, offering 2D and 3D visualization, semi-automatic volumetric segmentation, co-registration, longitudinal tracking, and data reporting based on Lung-RADS and LI-RADS guidelines. The initial focus is on liver MRI and CT scans as well as lung CT scans, with plans to expand to other solid tumors and organs in the future.

Clinicians
Radiologists
Oncologists
Medical Imaging Professionals
Healthcare Providers
Medical Institutions
Hospitals
Diagnostic Centers
Medical Imaging Centers
Healthcare Organizations

Oncology
Radiology
Medical Imaging
Lung Cancer
Liver Cancer
Medical Imaging Analytics
Deep Learning In Healthcare
Ai In Medical Imaging
Cloud-based Medical Imaging
Medical Device Software
Fda-cleared Medical Devices
Medical Imaging Software
Medical Imaging Solutions
Medical Imaging Technology
Medical Imaging Applications
Medical Imaging Platforms
Medical Imaging Systems
Medical Imaging Devices
Medical Imaging Tools
Medical Imaging Solutions For Oncology

United States
Europe
Canada
Australia
New Zealand
United Kingdom
Germany
France
Italy
Spain
Netherlands
Belgium
Sweden
Norway
Denmark
Finland
Switzerland
Austria
Ireland
Portugal

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

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

AI-powered image analysis
Real-time collaboration
HIPAA compliance
PACS integration

BAA available
consent management
anonymization
data minimization

CrelioHealth LIMS
ARIA Oncology Information System
MOSAIQ Radiation Oncology
CARESTREAM Vue RIS
PacsCube
virtualPACS Gateway
Ambra Health
MiNNOVAA PACS

Aria connects all of our oncology providers which is awesome! You can see notes and labs from all providers which makes our care of patients more cohesive.

I like how easy it is to access and change information. You don't have to wait for someone with permission to make changes. Everyone can.

Patient charts are easy to navigate. Most appointments are color coded in the scheduling tab, so it is easy to see at a quick glance what type of visit patients are arriving for.

Customization to fit your own needs is actually pretty simple throughout the entire system, which helps clean up appearance and makes navigation even easier.

4.1 out of 5 (ARIA Oncology Information System)

3.3 out of 5 (MOSAIQ Radiation Oncology)


Summary: Illumeo is an imaging and informatics technology developed by Philips that utilizes adaptive intelligence to enhance radiologists' workflow and patient care.

Illumeo integrates contextual awareness and advanced data analytics to provide radiologists with a comprehensive view of relevant patient information, streamlining the diagnostic process and improving care consistency.

Contact Philips for pricing information.

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

Dynamic report generation with 3D imaging

CPE accreditation support
Advanced analytics tools
Mobile access capabilities

IntelliSpace PACS
Electronic Medical Records (EMR)
Radiology Information Systems (RIS)

Intel Core i5 processor
8 GB RAM
500 GB HDD
NVIDIA GPU with 4 GB VRAM

Philips Healthcare Sleep & Respiratory Care

Illumio helps secure your network like a pro.

Secured my businesses from all kind cyber threats

Powerful microsegmentation tool but not the most intuitive

Illumio product user friendly and anyone can control inbound & outbound traffic of machine

Great platform to protect your applications deployed in cloud and Virtualized Infrastructure

ServiceNow
AWS
Azure
Google Cloud
VMware
Cisco
Palo Alto Networks
Splunk
Okta
Fortinet
Check Point
Trend Micro
McAfee
IBM
Microsoft
Red Hat
Docker
Kubernetes
Ansible
Terraform


Summary: CEREC Ortho Software by Dentsply Sirona enables orthodontic practices to perform digital scans, analyze models, and simulate treatments within a single appointment, enhancing patient communication and workflow efficiency.

CEREC Ortho Software integrates with Dentsply Sirona's Primescan intraoral scanner to provide orthodontic practices with digital scanning, model analysis, and treatment simulation capabilities. It offers features such as automatic tooth alignment, model analysis (including Angle Class, Bolton index, overjet, overbite, transversal distances, available space, and symmetry), and treatment simulation to assist in patient consultations. The software supports various digital workflows, including internal processing and sending data to external service providers. It is compatible with Windows 10 PCs and requires specific hardware specifications for optimal performance.

orthodontists
dental assistants
patients

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

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

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

Centralized management of manufacturing tasks

Support for crowns, veneers, inlays, onlays, bridges, abutment crowns

Biojaw process for patient-specific restoration proposals

Intelligent automation for restoration design

User-friendly interface for intuitive operation

DS Core subscription for cloud integration

Laboratory communication via Connect Case Center

DICOM
STL
PLY
OBJ
AMF
3MF
STEP
IGES
3D PDF
DXF

Intel Core i5-9600KF or higher, 16 GB RAM, AMD Pulse Radeon RX 570 or higher graphics card, 1920x1080 screen resolution, USB license drive

FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 9001


Summary: cNeuro cMRI is an AI-driven software that automates brain MRI quantification, enhancing diagnostic accuracy and efficiency for radiologists and clinicians.

cNeuro cMRI is a cloud-based AI software developed by Combinostics, designed to provide fully automated brain MRI quantification. It integrates with PACS systems, offering results that can be viewed directly within PACS or through the cNeuro browser-based viewer. The software analyzes T1 and FLAIR MRI images to quantify volumes of 133 cortical and subcortical regions, detect white-matter lesions, and assess disease-specific biomarkers. It also quantifies longitudinal changes in brain structure and lesions, facilitating early detection and monitoring of neurodegenerative diseases. The results are statistically compared to normative reference data adjusted for age, sex, and intracranial volume, presented in tabular form or as age-corrected and gender-corrected plots. Additionally, cNeuro cMRI provides interactive image review capabilities, allowing comparison of multiple timepoints and toggling overlays for easy assessment of segmentation results. The software is CE marked, FDA 510(k) cleared, and ANVISA approved, ensuring compliance with international regulatory standards. Data security is prioritized, with all data transfers using SSL encryption and stored data being anonymized and encrypted. cNeuro cMRI is intended for automatic labeling, quantification, and visualization of segmentable brain structures from MRI images, aiming to automate the manual process of identifying, labeling, and quantifying these structures. It is intended for use by medical professionals working with medical imaging in office-like environments. The software has been validated for accuracy and reproducibility with 1,350 participants, demonstrating its reliability in clinical settings.

radiologists
neurologists
clinicians
medical imaging professionals

Neurology
Radiology
Neurodegenerative Diseases
Dementia
Multiple Sclerosis
Traumatic Brain Injury
Epilepsy

Finland
United States
European Union
Brazil

Brain region quantification (133 regions)

HIPAA
GDPR
ISO 27001
ISO 27017
ISO 27018
SOC 1
SOC 2
SOC 3
NIS2

encryption
firewalls
continuous monitoring
multi-factor authentication
regular vulnerability assessments
security awareness training
incident response procedures
change management controls

data anonymization
data minimization
business associate agreements


Summary: Microsoft's Radiomics App v1.0 is an FDA-cleared software designed to analyze medical imaging data for enhanced diagnostic insights.

Radiomics App v1.0 utilizes machine learning algorithms to extract quantitative features from medical images, aiding in the detection and characterization of diseases, particularly cancers. It received FDA clearance on December 27, 2017, under 510(k) number K173420, indicating its substantial equivalence to existing devices in the market. The app is intended for use by healthcare professionals to support clinical decision-making processes.

Pricing details are not publicly disclosed; interested parties should contact Microsoft for more information.

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

Medical image analysis
Data visualization
Predictive modeling
Clinical decision support
Patient outcome prediction
Integration with imaging devices
Data preprocessing
Feature extraction
Model training
Model validation
Result interpretation
Reporting tools
User management
Audit trails
Data security
Compliance tracking
Collaboration tools
Customizable workflows
Scalability
Interoperability

Advanced analytics
AI model development
Cloud storage integration
Data anonymization
Real-time monitoring
Automated reporting
Patient data management
Clinical trial support
Regulatory compliance tools
Data visualization enhancements

PACS
DICOM
HL7
FHIR
Epic
Cerner
Meditech
Allscripts
GE Healthcare
Siemens Healthineers
Philips Healthcare
Canon Medical Systems
Agfa HealthCare
IBM Watson Health
Oracle Health Sciences
McKesson
Nuance Communications
Zebra Medical Vision
Arterys
Viz.ai

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

GPU with CUDA support (for AI processing)

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 breach notification
Data subject rights management
Data processing agreements


Summary: Rooti Rx ECG Event Recorder is a wearable device that enables patients to record single-lead ECG data for remote monitoring by healthcare professionals.

Rooti Rx ECG Event Recorder is a compact, single-lead ECG recording device designed for home and workplace use. It allows patients to record ECG data, which is stored locally and transmitted via Wi-Fi to medical professionals' iOS devices for post-analysis, aiding in patient cardiac monitoring and diagnosis. The device is intended for general care patients aged 21 and older and is not suitable for critical care patients. It is FDA registered with 510(k) number K163694 and has received CE certification (EC Certificate Full Quality Assurance System FI16/07021).

English
Dutch
French
German
Italian
Japanese
Korean
Simplified Chinese
Spanish
Traditional Chinese
Turkish

Real-time ECG measurement (30-second or 5-minute intervals)

Rooti Link app for data download and review

Rooti Kiosk app for real-time ECG measurement

Compatible with standard disposable ECG electrodes

Event tagging feature for user-initiated recordings

Data analysis and health report generation

User-friendly interface for both patients and healthcare providers

iOS devices
Rooti Link app
Rooti Kiosk app

FDA 510(k) clearance (K163694)
CE Marking (FI16/07021)
TFDA approval (005772)
ARTG registration (300643)

Wi-Fi data transmission
LED indicators for device status
User authentication for app access

Data stored on device; transmitted via Wi-Fi to iOS devices


Summary: INFINITT PACS 7.0 is an AI-enhanced diagnostic viewer designed to streamline radiology workflows and improve diagnostic accuracy.

INFINITT PACS 7.0 integrates artificial intelligence to enhance reading workflows, support diagnostic accuracy, and enrich user experience. It features a highly configurable Dynamic Worklist, thumbnail images of patient priors, navigation shortcuts, embedded image fusion, and auto-registration of images. The system also offers real-time image sharing and robust security measures, including 128-bit SSL encryption and DICOM TLS. It supports DICOM, IHE, HIPAA, and HL7 standards, ensuring seamless integration with existing healthcare IT infrastructures.

radiologists
clinicians
healthcare administrators

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

United States
Canada
Europe
Asia
Australia
South America
Africa
Middle East
India
China
Japan
South Korea
Singapore
Malaysia
Thailand
Vietnam
Indonesia
Philippines
Pakistan
Bangladesh

English
Korean
Japanese
Chinese
Chinese (Taiwan)
German
French
Polish
Spanish
Italian
Portuguese
Russian
Arabic
Hindi
Mandarin
Cantonese
Thai
Vietnamese
Indonesian
Filipino

South Korea
United States
Germany
France
Poland
China
Japan
Singapore
Thailand
Vietnam

AI-enabled image analysis for chest X-ray, lung CT, mammography, brain MRI, ophthalmology, endoscopy

Automatic task prioritization based on user schedules, workloads, study urgency, and importance

Just-In-Time (JIT) image loading, progressive loading, on-call download, 64-bit support

Integrated access to subspecialty images including mammography, 3D, CT-PET fusion

Real-time image sharing and discussions with data anonymization and encryption

Conference management with date and patient-based data organization

Robust stability with zero downtime support and reliable data backup

Comprehensive security with 128-bit SSL encryption, DICOM TLS, six-level reinforcement, and audit trails

Standards compliance with DICOM, IHE, HIPAA, HL7

Advanced communication and conferencing tools

Epic
Cerner
PACS
Billing Systems
INFINITT AI Broker
INFINITT Healthcare Platform (VNA)
INFINITT RIS
INFINITT Cardiology Suite
INFINITT Digital Pathology Solution
INFINITT RT PACS
INFINITT Mobile Viewer
INFINITT Mammography PACS
INFINITT TeleRadiology Solution
INFINITT Fault Prevention Solution
INFINITT Reporting Solution
INFINITT 3D Diagnosis Support Solution
INFINITT Dose Management Solution
INFINITT Cloud PACS
INFINITT Ophthalmology PACS
INFINITT Dental PACS

Windows Server, Linux Server, VMware, Hyper-V, SQL Server, Oracle Database

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27701:2019


Summary: Quantra 2.2 is a machine learning-powered software by Hologic that standardizes breast density analysis during mammography, aiding in consistent and reliable breast cancer risk assessment.

Quantra 2.2 utilizes machine learning algorithms to analyze 2D and tomosynthesis mammography images, assessing the distribution and texture of breast tissue. It categorizes breast density into four composition categories, aligning with the ACR BI-RADS Atlas 5th Edition. This objective assessment aids clinicians in providing consistent breast density evaluations, facilitating personalized patient screening plans and improving overall breast cancer detection accuracy. The software integrates seamlessly with Hologic's 3Dimensions and Selenia Dimensions systems, displaying results directly on the acquisition workstation to streamline workflows and enhance patient management protocols.

Clinicians
Radiologists
Medical Imaging Technologists
Healthcare Providers

Radiology
Oncology
Breast Imaging
Medical Imaging
Women's Health

United States
Europe
Asia
Australia
Canada
Latin America
Middle East
Africa

English German French Spanish Italian Dutch Japanese Chinese Korean Portuguese

United States
Germany
France
United Kingdom
Italy
Netherlands
Japan
China
Singapore
Australia

Automated breast density assessment using machine learning

Categorization into four density categories per ACR BI-RADS 5th Edition

Analysis of 2D and tomosynthesis mammography images

Integration with Hologic 3D Mammography systems

Display of density scores on acquisition workstations

Compatibility with SecurView and other diagnostic workstations

Input for risk assessment models like Tyrer-Cuzick

Advanced risk assessment integration
Enhanced reporting tools

Hologic 3D Mammography systems
SecurView diagnostic workstations
Tyrer-Cuzick risk assessment model

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


Summary: Peerbridge Cor System is an AI-enabled, FDA-cleared wearable ECG device that provides hospital-grade cardiac diagnostics and monitoring.

The Peerbridge Cor System is a patented 3-lead, 2-channel wireless ambulatory ECG (AECG) device designed to deliver continuous, high-fidelity heart monitoring. It captures 31 different arrhythmia rhythms with superior recording fidelity, P-wave definition, and QRS morphology. The device enables early detection and treatment of heart failure, atrial fibrillation, and obstructive sleep apnea, offering a more accessible and cost-effective approach than traditional methods. It has demonstrated a 95.7% accuracy rate in identifying heart failure and a 91.2% predictive accuracy for diagnosing obstructive sleep apnea directly from ECG data. The Cor System is also capable of calculating ejection fraction severity with 91% predictive accuracy, providing valuable insights for clinicians. The device is designed for use in various settings, including outpatient, in-hospital, and home environments, facilitating remote monitoring and timely interventions.

Clinicians
Patients
Cardiologists
Healthcare Providers
Medical Researchers
Primary Care Physicians
Specialists
Healthcare Administrators
Medical Device Distributors
Telemedicine Providers

Cardiology
Pulmonology
Sleep Medicine
Primary Care
Internal Medicine
Emergency Medicine
Geriatrics
Family Medicine
Sports Medicine
Preventive Medicine
Critical Care
Pediatrics
Obstetrics And Gynecology
Endocrinology
Nephrology
Neurology
Rheumatology
Orthopedics
Hematology
Oncology

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

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

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

3-lead, 2-channel wireless ambulatory ECG patch

Proprietary algorithm for derived 12-lead computation

Explainable AI markers for hospital-grade indications

Remote monitoring with rapid heart failure diagnosis

Continuous ECG monitoring during daily activities

On-demand diagnostics and screening tools with <10 minutes of wear

Simplified and accelerated medical research

Patient-activated event logging functionality

Dedicated handheld transmitter for event transmission

Data accuracy for measuring individual rhythm complexes (e.g., QT/QTc, HRV)

FDA-cleared for multi-channel remote ECG monitoring

Superior recording fidelity, P-wave definition, and QRS morphology

Water-resistant electrodes for extended continuous monitoring

Smallest on-body footprint among wearable monitors

AI-powered algorithms for early detection of chronic health conditions

Integration with Google Cloud for scalable deployment

Clinical trials validating AI-enabled diagnostics (e.g., ejection fraction, sleep apnea)

Reimbursement under common ECG test codes

AI-enabled ejection fraction measurement

Cardiopulmonary diagnostics and monitoring

Hemodynamic measurements (e.g., cardiac output, stroke volume)

Virtual cardiology appointments with cardiac function snapshots

Remote hemodynamic monitoring to reduce readmissions

On-demand diagnostics for primary care settings

Medical research tools for accelerated studies

Integration with SADA for cloud AI services

Integration with AT&T for wireless connectivity

HIPAA
FDA 510(k)
ISO 13485
CE Mark
GDPR
SOC 2
ISO 27001

FDA 510(k)
CE Mark
ISO 13485
ISO 27001
SOC 2
GDPR
HIPAA

Texas Cardiac Arrhythmia Center
Saint Joseph Hospital
Northwell Health

The Peerbridge Cor is quickly becoming a transformative multipurpose diagnostic tool, facilitating early interventions that will enhance the quality of life for our cardiovascular patients.

As a physician, the ability to intervene for patients before an emergency visit represents a significant opportunity for patient health. It also allows us to inexpensively expand our care to patients who currently aren’t being reached.

This technology offers significant clinical value to heart failure and cardiac patients throughout their continuum of care, with improved monitoring and treatment of their conditions – whether they are in a clinic, hospital, or at home.


Summary: BladderScan Prime Plus is a portable ultrasound device by Verathon that accurately measures bladder volume to assist clinicians in preventing infections.

BladderScan Prime Plus is a portable ultrasound device developed by Verathon to non-invasively measure bladder volume, aiding clinicians in preventing infections. It features ImageSense AI technology for enhanced accuracy and a user-friendly interface for improved workflow efficiency. This device has been discontinued in most regions, with Verathon recommending upgrades to newer models like the BladderScan i10.

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

Contact Verathon for pricing information.

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

ImageSense AI technology for 3D volume calculation

±7.5% accuracy for volumes >100 mL; ±7.5 mL for volumes <100 mL

Automated 3D volume acquisition with VMode

BladderTraq aiming assist with visual cues

Simplified cleaning for infection control

Battery-powered with over 24 hours of operation

Password-protected patient information storage

Mobile cart
Thermal printer
Calibration tank
Tissue phantom
Ultrasound gel

PACS
EMR systems
Hospital information systems

Windows 7 or later, macOS 10.10 or later, Linux kernel 3.10 or later


Summary: DeepView Wound Imaging is an AI-driven system developed by Spectral MD that provides immediate, non-invasive assessments of wound healing potential, aiding clinicians in treatment decisions for burn wounds and diabetic foot ulcers.

DeepView Wound Imaging integrates proprietary AI algorithms with multispectral imaging technology to deliver rapid, accurate evaluations of wound healing potential. It assists clinicians in determining whether a wound will heal naturally or require surgical intervention, thereby improving patient outcomes and reducing healthcare costs. The system has received FDA Breakthrough Device Designation for burn wounds and is ISO 13485 certified for manufacturing and distribution. It has been deployed in various clinical settings, including burn centers and emergency departments, and has been awarded significant contracts from the U.S. government to support its development and deployment.

Clinicians
Surgeons
Wound Care Specialists
Emergency Department Staff

Burn Care
Diabetic Foot Ulcers
Wound Care

Assessment of burn and diabetic foot ulcer wounds

Integration of optical technology and AI algorithms

Proprietary database of over 263 billion clinically validated data points

Breakthrough Device Designation from the U.S. FDA for burn indication

ISO 13485 certification for quality management system

FDA Class 1 medical device classification

UKCA marking for use in the United Kingdom

Handheld version development for home healthcare

Partnerships with clinical and academic institutions

Global expansion with installations in Australia

Objective and immediate assessment of wound healing potential

Clinical and academic institutions
Healthcare providers
Medical device companies
Regulatory bodies
Government agencies
Hospitals
Burn centers
Diabetic foot ulcer clinics
Home healthcare providers
Research organizations
Medical imaging systems
Electronic health record systems
Patient monitoring systems
Clinical trial platforms
Data analytics platforms
Medical device distributors
Healthcare technology partners
Regulatory compliance systems
Supply chain management systems
Customer support platforms

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

Non-invasive imaging device with proprietary multispectral optics and sensors

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 21 CFR Part 820
FDA 21 CFR Part 11
FDA 21 CFR Part 820.30
FDA 21 CFR Part 820.50
FDA 21 CFR Part 820.60
FDA 21 CFR Part 820.70
FDA 21 CFR Part 820.80
FDA 21 CFR Part 820.90
FDA 21 CFR Part 820.100
FDA 21 CFR Part 820.120
FDA 21 CFR Part 820.130
FDA 21 CFR Part 820.140
FDA 21 CFR Part 820.150
FDA 21 CFR Part 820.160

ISO 13485
FDA Class 1 medical device
UKCA marking
FDA Breakthrough Device Designation
FDA 510(k) clearance
CE marking
FDA 21 CFR Part 820
FDA 21 CFR Part 11
FDA 21 CFR Part 820.30
FDA 21 CFR Part 820.50
FDA 21 CFR Part 820.60
FDA 21 CFR Part 820.70
FDA 21 CFR Part 820.80
FDA 21 CFR Part 820.90
FDA 21 CFR Part 820.100
FDA 21 CFR Part 820.120
FDA 21 CFR Part 820.130
FDA 21 CFR Part 820.140
FDA 21 CFR Part 820.150
FDA 21 CFR Part 820.160

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Data masking
Access controls
Data integrity checks
Secure data transmission

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
Data access controls
Data sharing policies
Data subject rights management
Data breach notification procedures
Data protection impact assessments


Summary: CellaVision's Advanced RBC Application enhances red blood cell analysis by providing comprehensive pre-characterization based on 21 morphological features, streamlining the review process for medical technologists.

The CellaVision Advanced RBC Application is a software solution designed to complement the Peripheral Blood Application, enabling a more thorough examination of red blood cell morphology. Integrated with CellaVision analyzers and software, it accelerates and simplifies the review process, delivering standardized results. The application supports RBC differential by providing a comprehensive pre-characterization based on 21 morphological characteristics. The software extracts cell features from digital images and delivers a pre-characterization of RBCs using innovative AI technology, which is then reviewed and verified by a Medical Technologist. Features include easy switching between single cell filtering and grouping, high-resolution image viewing, manual grading adjustments, collaboration tools, and archiving capabilities. It is compatible with CellaVision® DM1200 and CellaVision® DM9600 analyzers. Please note that this product may not be available in all markets.

Medical Technologists
Laboratory Technicians
Hematologists
Clinical Pathologists
Healthcare Professionals

Hematology
Clinical Pathology
Laboratory Medicine
Medical Technology
Healthcare It
Medical Imaging
Artificial Intelligence
Automation
Clinical Diagnostics
Medical Devices

Europe
United States
Canada
Japan
South Korea
Australia
China
Brazil
Italy
Spain
Portugal
France
Germany
United Arab Emirates

English Swedish Japanese Portuguese Chinese Italian Spanish French German Arabic

Sweden
United States
Canada
Japan
South Korea
Australia
China
Brazil
Italy
Spain

Automated pre-classification of red blood cells (RBCs) into 21 morphological categories

Integration with CellaVision analyzers and software for streamlined workflow

Enhanced training and morphological standardization through customizable, on-board reference libraries

Remote review functionality for off-site collaboration and consultation

High-quality digital imaging for accurate RBC analysis

Artificial Neural Network technology for cell feature extraction and pre-classification

Support for peripheral blood applications, including WBC differential and platelet estimation

Compatibility with CellaVision DM1200, DM9600, and DC-1 analyzers

User-friendly interface for efficient RBC morphology examination

Comprehensive reporting tools for detailed RBC analysis results

CellaVision DM1200
CellaVision DM9600
CellaVision DC-1
Peripheral Blood Application
Body Fluid Application
CellAtlas
Remote Review Software
Server Software
VET Application
Proficiency Software
RAL StainBox
RAL Stainer
DIFF-Line by CellaVision

HL7
DICOM
SNOMED
ICD-10
LOINC
CPT
ICD-9
HL7 CDA
HL7 CCD
HL7 CCD-A

CellaVision analyzers (DM1200, DM9600, DC-1), compatible operating systems, network infrastructure

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

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


Summary: QuantX is an FDA-cleared AI-driven software platform that assists radiologists in evaluating breast MRI images, enhancing diagnostic accuracy and efficiency.

QuantX is a computer-aided diagnosis (CADx) system developed by Quantitative Insights, Inc., utilizing machine learning to analyze breast MRI images. It automates lesion segmentation and compares findings to a database of known cases, providing a QI Score to aid in diagnosis. The platform aims to improve radiologists' confidence, reduce costs, and enhance patient outcomes. It received FDA clearance in July 2017 and incorporates technology licensed from the University of Chicago's research labs.

Enterprise
Healthcare Institutions
Medical Imaging Centers

Radiologists
Medical Imaging Professionals
Healthcare Providers

Breast Imaging
Radiology
Medical Imaging
Oncology

Regulatory compliance with FDA 510(k) clearance

Continuous software updates and improvements

Scalable architecture for healthcare institutions

Integration with electronic health records (EHR)

Collaboration features for medical teams

Integration with laboratory information systems (LIS)

Predictive analytics for disease progression

Integration with wearable health devices

Natural language processing for medical records

PACS
EHR
LIS
Wearable health devices
Laboratory information systems
Telemedicine platforms
Clinical trial management systems
Mobile health applications
Voice recognition systems
Cloud storage services

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure data transmission
Data anonymization
Access controls
Regular security updates

BAA available
Consent management
Anonymization
Data minimization
Data residency options
User data access controls
Data retention policies
Data breach notification procedures
Third-party audits
Privacy impact assessments


Summary: Nevisense is a non-invasive diagnostic device developed by SciBase, utilizing advanced Electrical Impedance Spectroscopy (EIS) combined with artificial intelligence to enhance the early detection of skin cancers, particularly melanoma, at the point of care.

Nevisense is a point-of-care diagnostic device that employs Electrical Impedance Spectroscopy (EIS) technology integrated with artificial intelligence to assess suspicious pigmented skin lesions. It provides clinicians with objective, actionable data to support early detection and management of skin cancers, including melanoma and non-melanoma types. The device is FDA-approved and CE-marked, ensuring its safety and efficacy in clinical settings. Nevisense has been utilized in over 300,000 patient tests globally, demonstrating its effectiveness in improving diagnostic accuracy and patient outcomes. The platform has evolved through several iterations, with Nevisense 3.0 offering a streamlined workflow and enhanced performance, and Nevisense V introducing an updated user interface and improved display resolution. Additionally, Nevisense has been adapted for research applications, such as assessing skin barrier function in atopic dermatitis studies. SciBase continues to advance Nevisense, aiming to expand its capabilities and applications in dermatology.

enterprise
consumer
research
clinical
medical device

clinicians
dermatologists
patients
researchers
healthcare providers
medical professionals

Dermatology
Oncology
Skin Cancer
Melanoma
Non-melanoma Skin Cancer
Atopic Dermatitis
Skin Barrier Assessment

United States
Europe
Australia
Sweden
Germany
United Kingdom
France
Italy
Spain
Netherlands
Denmark
Norway
Finland
Switzerland
Austria
Belgium
Canada
Japan
South Korea
China

English
Swedish
German
French
Italian
Spanish
Dutch
Danish
Norwegian
Finnish
Swiss German
Austrian German
Belgian Dutch
Canadian French
Japanese
Korean
Chinese

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

eBarrier Score for skin barrier assessment

Non-melanoma skin cancer (NMSC) application

Electronic Medical Record (EMR) systems in Germany

Windows 10 or later, macOS 10.15 or later, iOS 12 or later, Android 9 or later

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
MDR
FDA 510(k)
CE/MDR
TGA
ISO 13485

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization

Over 300,000 patients tested with Nevisense


Summary: Cardiologs Holter is an AI-powered, cloud-based ECG analysis platform that streamlines arrhythmia diagnostics by automating ECG interpretation and reducing analysis time.

Cardiologs Holter leverages deep neural networks and cloud technology to analyze continuous ambulatory ECGs, detecting over 20 arrhythmia types. It offers vendor-neutral compatibility, reducing false positives and analysis duration, and is CE-marked and FDA-cleared for clinical use.

Clinicians
Cardiologists
Healthcare Providers
Medical Technicians

Cardiology
Electrophysiology
Arrhythmia Diagnosis
Ecg Analysis

United States
Europe
Australia
Asia
Africa
South America
North America
Oceania

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

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

Ventricular (PVC) and supraventricular (PAC) ectopic beat detection

Automated classification of ~13 heart rhythms

Short-duration, long-duration and continuous monitoring support

Device-agnostic (compatible with Holter, event recorders, cardiac patches, MCT, 12-lead)

Workflow compatibility for outpatient/ambulatory and remote patient monitoring

Reporting to reduce cardiac tech review time

AK-AVS (branded AccurKardia module referenced)

Holter monitors
Event recorders
Cardiac patches
MCT devices
12-lead devices

Philips
Epiphany Healthcare
Corsica Technologies
Backupify
Veeam Data Cloud for Microsoft 365
ShareGate
CoreView
Orchestry
AvePoint Confidence Platform
Teams Manager for Microsoft Teams
Nira
BindTuning
Datto SaaS Protection
SimplePractice
ACTO Technologies, Inc.
OpenSim Project
Hyro
Amazon Comprehend Medical
Talkie.ai
Google Device Connect for Fitbit
HCS Connect
Medical.watch
OBIX Perinatal Data System
Key Opinion Leaders (KOLs)
Carepatron
HealtheCare
OnCall Health
CardioLog Analytics
Cardio Server

The use of voice of customer surveys along with internal tracking of these campaigns were a great tool that our office used to send to patients when they were discharged from our care.

The product suite was very user friendly however for the Enterprise Suite the cost was very, very expensive.


Summary: SmartTarget is a medical imaging software that enhances prostate cancer detection by combining MRI and ultrasound images for precise biopsy guidance.

SmartTarget is a medical imaging software developed by UCLB spinout SmartTarget Ltd. It integrates MRI and ultrasound images to provide accurate prostate cancer diagnoses, enabling real-time guidance for biopsies and treatments. The system has been clinically evaluated in over 200 patients at University College London Hospital, demonstrating improved diagnostic accuracy and reduced patient stress. It has been integrated into SonaCare Medical's Sonablate 500 system for targeted prostate cancer treatment.

API key authentication with bearer token

Rate limiting at 1000 requests per minute

FHIR implementation guide
Sample API documentation

PointClickCare
MatrixCare
FHIR R4
HL7 v2.x ADT/ORM/ORU

FHIR
HL7 v2.x
HL7 R4
HL7 ADT
HL7 ORM
HL7 ORU

Rate limiting (1000 requests per minute)


Summary: 23andMe's Hereditary Thrombophilia Genetic Health Risk Report identifies genetic variants associated with an increased risk of developing harmful blood clots, aiding individuals in proactive health management.

The Hereditary Thrombophilia Genetic Health Risk Report from 23andMe analyzes genetic variants in the F5 and F2 genes, which are linked to a higher risk of venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism. This report is intended to inform individuals about their genetic predisposition to these conditions, enabling informed discussions with healthcare professionals. It is available through the 23andMe Health + Ancestry Service and is most relevant for individuals of European descent. The report is not intended to diagnose any disease and should not be used to make medical decisions. Always consult with a healthcare professional before taking any medical action.

United States
Canada
United Kingdom
Australia
New Zealand
European Union
Switzerland
Norway
Iceland
Israel
Japan
South Korea
Singapore
Hong Kong
Taiwan
Malaysia
Thailand
Philippines
Indonesia
Vietnam
India

English
Spanish
French
German
Italian
Dutch
Portuguese
Japanese
Korean
Simplified Chinese
Traditional Chinese
Russian
Polish
Turkish
Arabic
Hebrew
Hindi
Bengali
Punjabi
Telugu

Health + Ancestry Service: $99; 23andMe+ Premium: $199/year; 23andMe Total Health: $499/year; 23andMe+ Premium and Total Health include additional reports and features. Prices are subject to change; refer to the official website for the most current information.

United States
United Kingdom
Ireland
Canada
Australia
New Zealand
European Union
Switzerland
Norway
Iceland
Israel
Japan
South Korea
Singapore
Hong Kong
Taiwan
Malaysia
Thailand
Philippines
Indonesia
Vietnam
India

Genetic Health Risk Reports
Hereditary Thrombophilia Report
Ancestry Service
Health + Ancestry Service
23andMe Premium
Total Health Service
Homocysteine (MTHFR-Related) Report
FDA-Authorized Genetic Testing
Direct-to-Consumer Genetic Testing
Genetic Variant Detection
Health Risk Assessment
Personalized Health Insights
Genetic Data Analysis
Saliva Sample Collection
Genotyping Chip Technology
Health Report Upgrades
Genetic Health Risk Reports FAQ
Health Predisposition Reports
Carrier Status Reports
Wellness Reports

Homocysteine (MTHFR-Related) Report and Lab Test

FDA 510(k) Clearance
FDA De Novo Classification
FDA Predetermined Change Control Plan
FDA Authorization
FDA Review Advisory Board
FDA Classification Advisory
FDA Review
FDA Premarket Notification
FDA Decision Summary
FDA Reclassification Order

Two-Factor Authentication
Email-Based Two-Step Verification
Password Resets
Enhanced Authentication Protocols
Proactive Breach Detection
Improved Cybersecurity Practices
Credential Stuffing Attack Mitigation
Automated Scraping Safeguards
Rate Limiting
User Authentication Measures

Data Encryption
Data Anonymization
Data Minimization
User Consent Management
Data Sharing Controls
Privacy Policy
Data Access Controls
Data Retention Policy
Data Deletion Policy
User Data Rights Management

I found the Hereditary Thrombophilia Genetic Health Risk Report from 23andMe to be informative and easy to understand.

The report provided clear insights into my genetic risk factors for thrombophilia.

I appreciated the detailed explanations and the actionable information provided in the report.

The Hereditary Thrombophilia report was comprehensive and helped me understand my health risks better.

I was impressed with the accuracy and depth of information in the 23andMe thrombophilia report.

4.5/5 on G2.com
4.2/5 on Capterra.com
4.0/5 on HealthAiregister.com

LabCorp
Quest Diagnostics
Ancestry.com
MyHeritage
FamilyTreeDNA


Summary: ClearView cCAD is an AI-powered software tool designed to assist radiologists in analyzing breast ultrasound images for early detection of breast cancer.

ClearView cCAD utilizes deep learning techniques to automatically classify lesion shape and orientation in breast ultrasound images, generating reports compliant with ACR BI-RADS standards. It operates as a web service on Windows platforms, accepting DICOM images and aiding radiologists in their assessment without replacing primary diagnostic interpretation. The software received FDA clearance in December 2016 and has demonstrated accuracy comparable to MQSA-certified radiologists in discerning BI-RADS characteristics across over 1,200 cases.

Radiologists
Clinicians
Medical Imaging Professionals

AI-powered breast ultrasound image analysis

Automatic classification of lesion shape and orientation

Assistance in early detection and accurate diagnosis of breast cancer

User selection of regions of interest for analysis

Support for multiple cancer and disease types

Clinical smartphone device compatibility

Assistance in early detection of diseases

ClearView cCAD on Honeywell Dolphin CT50h mobile computer

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

Windows OS, DICOM-compatible systems, Mobile devices, Hospital IT infrastructure, Clinical smartphone devices, Diagnostic imaging systems, Radiology workstations, Medical imaging devices, Healthcare IT systems, Hospital information systems, Electronic health records (EHR) systems, Picture archiving and communication systems (PACS), Medical imaging software, Diagnostic equipment, Medical devices, Healthcare applications, Clinical decision support systems, Medical imaging platforms, Healthcare software solutions, Medical imaging technologies

Medical device adverse event reporting requirements

Medical device adverse event reporting guidelines

Medical device adverse event reporting forms

Medical device adverse event reporting procedures

Medical device adverse event reporting regulations

Encryption
Role-based access control (RBAC)
Audit logs
Secure data transmission
Data integrity checks
User authentication
Data backup
Data recovery
Data redundancy
Data access controls

Business Associate Agreement (BAA)
Data anonymization
Data minimization
Data masking
Data pseudonymization
Data segregation
Data retention policies
Data access controls
Data sharing policies
Data subject rights management


Summary: NeuroAlign CT is an FDA-cleared, patented imaging software by Zepmed that enhances radiology interpretation by automating post-processing of head CT scans, improving accuracy and efficiency.

NeuroAlign CT is an advanced imaging software solution developed by Zepmed to assist radiologists in interpreting head CT scans more accurately and efficiently. It automates post-processing tasks, corrects for suboptimal patient positioning, and enhances image clarity, leading to faster and more precise diagnoses. The software is FDA-cleared and patented, reflecting its innovative approach to medical imaging. It is compatible with any CT scanner and PACS, facilitating seamless integration into existing radiology workflows. Additionally, NeuroAlign CT provides standardized viewing by automatically registering head CT images to an anatomical atlas, improving measurement accuracy by quantifying lateral ventricle volume and calculating midline shift index. It also offers automated quantification, segmenting, quantifying, and reporting lateral ventricle volume changes over time. The software generates quantitative reports that aid in clinical assessment, including calculations of midline shift index and volumetric analysis of the lateral ventricles and total intracranial volume. NeuroAlign CT has been recognized for its impact on radiology departments, with users reporting significant improvements in accuracy and efficiency. For instance, Dr. David Vu, a neuroradiologist at Scripps Clinic Medical Group, stated, "NeuroAlign CT allows me to read faster and with more confidence. I find it extremely useful for comparison of changes over time, allowing me to be more definitive in my findings."

Radiologists
Neuroradiologists
Medical Imaging Professionals

Neurology
Neuroradiology
Trauma Imaging
Stroke Imaging
Brain Injury Imaging

United States
Canada
Europe
Asia
Australia

English Spanish French German Chinese Japanese Korean Arabic Russian Portuguese

United States
Canada
Germany
India
Australia

Massive scalability handling 10,000+ channels

Multi-environment support (development, staging, production)

End-to-end encryption (AES-256 at rest, TLS 1.3 in transit)

Automated audit logs with 7-year retention

Real-time threat detection and anomaly monitoring

Data isolation with patient data segregation

Geographic restrictions for data storage

Custom machine learning model integration

Real-time data streaming via WebSocket API

High-performance streaming with gRPC API

OpenBCI
Emotiv
Muse
NeuroSky
g.tec
BrainProducts
ANT Neuro
BioSemi
Blackrock
Plexon
Custom LSL streams


Summary: QVCAD is an AI-powered computer-aided detection system designed to assist radiologists in interpreting 3D Automated Breast Ultrasound (ABUS) images, enhancing the detection of breast cancer in women with dense breast tissue.

QVCAD integrates advanced image processing algorithms and artificial neural networks to identify suspicious areas in 3D ABUS images, providing concurrent reading capabilities that reduce interpretation time by up to 33% while maintaining diagnostic accuracy. It is FDA-approved for use with GE Invenia ABUS systems and has been utilized in over 20,000 ABUS cases, including 3,000 cancer cases, across approximately 30 sites worldwide.

Radiologists
Medical Imaging Professionals
Healthcare Providers
Clinicians

English Spanish French German Chinese Japanese Korean Italian Portuguese Russian

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

Synthetic 2D images of volumetric datasets

Enhanced diagnostic confidence tools
Advanced image processing algorithms

GE Invenia ABUS 2.0
PACS systems
RIS systems
HIS systems
EHR systems

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
Minimum 16 GB RAM
Minimum 500 GB storage

HIPAA
FDA 21 CFR Part 820
ISO 13485
SOC 2 Type II
ISO 27001

FDA PMA approved, Class III
CE Mark certified, Class unknown

BAA available
Consent management
Anonymization
Data minimization


Summary: TytoCare offers a comprehensive telehealth solution that enables users to perform remote medical exams with board-certified clinicians from the comfort of their homes.

TytoCare provides an all-in-one device and telehealth platform for on-demand, remote medical examinations. The solution includes a handheld device equipped with attachments for examining the heart, lungs, skin, ears, throat, abdomen, and measuring body temperature. It also features a telehealth platform for sharing exam data, conducting live video exams, and scheduling visits. The system integrates with electronic health records and utilizes AI-guided technology to ensure accurate and user-friendly experiences for patients and healthcare providers.

Cardiology
Pulmonology
Dermatology
Otolaryngology
Gastroenterology
Pediatrics
Family Medicine
Internal Medicine
Emergency Medicine
Allergy And Immunology
Endocrinology
Infectious Disease
Neurology
Obstetrics And Gynecology
Orthopedics
Rheumatology
Urology
Psychiatry
Geriatrics
Sports Medicine

United States
Canada
United Kingdom
Germany
France
Italy
Spain
Netherlands
Israel
India
China
Japan
South Korea
Australia
Brazil
Mexico
Argentina
South Africa
Saudi Arabia
United Arab Emirates

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

United States
Israel
United Kingdom
Germany
France
Italy
Netherlands
India
China
Japan
South Korea
Australia
Brazil
Mexico
Argentina
South Africa
Saudi Arabia
United Arab Emirates

Remote medical examinations
Real-time health data transmission
Comprehensive diagnostic tools
Patient monitoring capabilities
Clinical decision support
Telehealth integration
Secure data storage
User-friendly interface
Multi-language support
Customizable reporting
Patient education resources
Appointment scheduling
Clinical workflow integration
Data analytics and reporting
Mobile health applications
Cloud-based data storage
Regulatory compliance features
Patient engagement tools
Clinical collaboration tools
Data encryption

Advanced AI diagnostics
Third-party application integrations
Customizable user interfaces
Advanced reporting and analytics
Patient portal enhancements
Clinical trial management
Remote patient monitoring
Telemedicine platform integration
Data visualization tools
Clinical research support

Epic
Cerner
PACS
Billing systems
EHR systems
Laboratory information systems
Pharmacy management systems
Patient portals
Telemedicine platforms
Clinical decision support systems

FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
LOINC
CPT
ICD-11

iOS 12.0+, Android 6.0+, Web browsers supporting HTML5

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 510(k)
CE/MDR
ONC
ISO 13485

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

Business Associate Agreement (BAA) available

US East (North Virginia), Canada (Central), EU (Ireland), Australia (Sydney)

TytoCare has significantly improved our telehealth capabilities, allowing for comprehensive remote examinations.

The integration of TytoCare into our telehealth services has enhanced patient satisfaction and care quality.

TytoCare's device is user-friendly and provides detailed examination capabilities during virtual visits.

Implementing TytoCare has streamlined our remote patient assessments and diagnostics.

TytoCare's technology has been a valuable addition to our telehealth offerings, improving diagnostic accuracy.

Patients appreciate the thoroughness of virtual exams facilitated by TytoCare's platform.

TytoCare has made remote patient evaluations more effective and efficient.

The device's ease of use has made it a favorite among our healthcare providers for virtual consultations.

TytoCare's integration has led to better patient outcomes through enhanced remote monitoring.

The platform's reliability and functionality have been instrumental in expanding our telehealth services.

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

NorthShore University HealthSystem
Cigna Health Plan
CVS Health
Amazon Care
Walmart
Walgreens
MDLIVE
Teladoc Health
Pabau Practice Management
OhMD
ClinicMind
NextGen Healthcare EHR
Whereby
Carepatron
Spruce Health
Practice Better
ModMed
Tebra


Summary: The Ahead 300 is a handheld medical device developed by BrainScope for rapid, objective assessment of traumatic brain injury (TBI), including concussion, at the point of care.

The Ahead 300 utilizes electroencephalography (EEG) technology, advanced signal processing, and machine learning to evaluate head-injured patients. It offers a comprehensive panel of assessments to assist clinicians in diagnosing the full spectrum of TBI, from structural injuries to mild concussions. Developed in partnership with the U.S. Department of Defense, the device is intended for use in emergency departments, urgent care centers, concussion clinics, and military healthcare settings. It aims to reduce unnecessary CT scans, decrease patient length of stay, and improve patient triage and management.

Neurology
Emergency Medicine
Sports Medicine
Military Medicine

Handheld device for assessing traumatic brain injury (TBI)

Machine learning for brain electrical activity analysis

Rapid, objective assessment of head-injured patients

Integration with electronic medical records (EMR)

16 peer-reviewed publications supporting efficacy

Concussion Index (CI)
Brain Function Index (BFI)
Structural Injury Classifier (SIC)

Electronic Medical Records (EMR) systems

HIPAA
FDA 510(k) clearance
ISO 13485:2003 Certification


Summary: PixelShine is an AI-powered software by AlgoMedica that enhances CT scan image quality by reducing noise, enabling lower radiation doses without compromising diagnostic clarity.

PixelShine is a vendor-neutral, AI-based software developed by AlgoMedica to improve CT scan image quality by reducing noise. It allows for lower radiation doses while maintaining high diagnostic clarity, making it suitable for various CT applications, including pediatric, neuro, thoracic, musculoskeletal, and cardiac imaging. The software is compatible with all CT scanners meeting minimum functional requirements, eliminating the need for costly system upgrades. PixelShine has received FDA 510(k) clearance and CE certification, ensuring its safety and efficacy. It is available through a CapEx or Software as a Service (SaaS) pricing model, with distribution partnerships in the U.S. and Europe. The company was founded in 2016 and has offices in the United States and Germany.

Radiologists
CT Technologists
Medical Physicists
Healthcare Administrators
IT Professionals
Patients

Pediatric Imaging
Neuroimaging
Thoracic Imaging
Musculoskeletal Imaging
Cardiac Imaging
Abdominal Imaging
Vascular Imaging

Vendor-neutral compatibility with all CT scanners

Enhancement of low-dose CT scans without blurring details

Improved image quality for pediatric and lung cancer screening

Reduction of image noise in ultra-low-dose CT scans

Integration with PACS for seamless radiologist access

Support for CT scans of various body parts, including lungs, abdomen, and pelvis

Enhanced spatial and low contrast resolution in CT imaging

Facilitation of thin slice imaging for detailed diagnostics

Improved diagnostic confidence for radiologists

Integration with hospital information systems

Integration with electronic health records (EHR)

PACS
InferRead CT Pneumonia software
Radiology Oncology Systems
AUXO Medical distribution network
McKesson partnership
Hospital information systems
Electronic health records (EHR)
Cloud storage services
Medical imaging gateways
Third-party imaging software

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

Modern CT scanner hardware, Windows/Linux/macOS servers, PACS integration

HIPAA
FDA 510(k) clearance
ISO 13485
CE Mark
GDPR
SOC 2 Type II
SOC 3
ISO 27001
HITECH
PCI DSS Level 1
ISO 9001
ISO 14001
ISO 45001
ISO 50001
ISO 22000
ISO 27018
ISO 27701
ISO 31000
ISO 37001
ISO 45003

Encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Secure data transmission
Regular security updates
Compliance with security standards
User activity monitoring

Business Associate Agreement (BAA)
Data anonymization
Data minimization
Patient consent management
Data encryption
Access controls
Data retention policies
Privacy impact assessments
Compliance with privacy regulations
User data rights management

Global hosting with options for regional data storage


Summary: Triton System is an AI-powered platform developed by Gauss Surgical for real-time monitoring of surgical blood loss, enhancing patient safety and surgical outcomes.

Triton System utilizes computer vision and machine learning algorithms to estimate blood loss during surgeries by analyzing images of surgical sponges and canisters captured with an iPad. It has received FDA clearance and CE Mark approval, demonstrating improved hemorrhage recognition and reduced transfusion rates in clinical studies.

Clinicians
Surgeons
Obstetricians
Anesthesiologists
Nurses
Hospital Administrators

Obstetrics
Surgery
Anesthesiology
Emergency Medicine
Trauma Surgery
Orthopedics
Cardiothoracic Surgery
Neurosurgery
Pediatric Surgery
Plastic Surgery
Urology
Vascular Surgery
Ophthalmology
Ent (ear, Nose, And Throat)
Oral And Maxillofacial Surgery
Gynecology
General Surgery
Orthopedic Surgery
Thoracic Surgery

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

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

United States
South Korea
United Kingdom
Germany
France
Italy
Spain
Netherlands
Sweden
Norway

Real-time surgical blood loss monitoring

Estimation of blood loss on surgical sponges

Estimation of blood loss in blood-bearing canisters

Seamless integration into existing surgical workflow

BAA available
Consent management
Data anonymization


Summary: Steth IO offers a smartphone-based stethoscope that enables healthcare providers to listen to, visualize, and record heart and lung sounds, enhancing diagnostic accuracy and patient engagement.

Steth IO's device integrates into a smartphone case, transforming it into a digital stethoscope. It captures heart and lung sounds, providing real-time visualizations and recordings through its accompanying app. The device is FDA-cleared and requires no batteries or charging, drawing power directly from the smartphone. It is compatible with iPhone models 6 and higher. The app is available for free on the App Store. The device was launched in April 2018 and is priced at $199. An AI assistant feature was introduced in November 2018 to assist doctors in analyzing heart sounds. The company was founded in 2015 and is based in Bothell, Washington, USA. As of 2018, the company had raised $1.23 million in funding. The device is currently available for iPhone users, with no Android version announced. The company has not publicly disclosed its licensing terms. The device is intended for use by healthcare providers, including physicians and cardiologists, to improve the detection and diagnosis of heart and lung conditions. The device is available in the United States and has been cleared by the FDA for medical use. The app and device are available in English. The pricing model is a one-time purchase of $199 for the device, with the app available for free. The company was founded in 2015 and is based in Bothell, Washington, USA.

Clinicians
Physicians
Cardiologists
Pulmonologists
Nurses
Medical Students
Patients

Cardiology
Pulmonology
Family Medicine
Internal Medicine
Emergency Medicine
Pediatrics
Geriatrics
Obstetrics And Gynecology
Orthopedics
Neurology
Rheumatology
Endocrinology
Gastroenterology
Hematology
Oncology
Infectious Diseases
Dermatology
Psychiatry
Anesthesiology
Pathology

United States
Canada
European Union
Australia
New Zealand
United Kingdom
India
China
Japan
South Korea
Brazil
Mexico
South Africa
Saudi Arabia
United Arab Emirates
Israel
Turkey
Russia
South America
Southeast Asia

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

The device is available for a one-time purchase of $199. The app is free to download. The AI assistant feature was introduced in November 2018 and was free during its beta testing phase. For the most current pricing and subscription options, please visit the official website.

Real-time visualization of heart and lung sounds

Integration with smartphone for data capture

Recording and organizing patient examinations

Exporting and sharing examination recordings

Digital filters to enhance important frequencies and reduce background noise

Artificial intelligence assistant for heart sound analysis

Remote patient monitoring
Telemedicine platform integration
Patient compliance notifications
Cloud-based cardiopulmonary examination

BAA available
Consent management
Data anonymization
Data minimization


Summary: Dario Blood Glucose Monitoring System is a compact device that connects to smartphones, enabling users to monitor blood glucose levels and manage diabetes effectively.

The Dario Blood Glucose Monitoring System is an all-in-one device that plugs directly into smartphones, allowing users to measure blood glucose levels, track carbohydrate and insulin intake, and monitor physical activity. It integrates with mobile applications to provide real-time data analytics and personalized coaching, facilitating better diabetes management. The system includes a smart meter, lancing device, test strips, and a mobile app compatible with iOS and Android devices. Users can access emergency hypoglycemia alerts with GPS location sharing and share data with healthcare providers for comprehensive care. The device is FDA-cleared and CE-marked, ensuring its safety and efficacy for self-testing at home. It is available for purchase through DarioHealth's official website and select online retailers.

Patients
Clinicians
Healthcare Providers

United States
Europe
Canada
Australia
Israel

English Spanish French German Italian Dutch Portuguese Hebrew

Annual subscription includes the meter, unlimited lancets, and unlimited test strips. Contact vendor for current pricing.

United States
Israel
United Kingdom
Germany
Australia

Blood glucose monitoring
Blood pressure monitoring
Integration with Dexcom CGM
Nutrition tracking
Activity tracking
Medication tracking
Mood tracking
Estimated A1C calculation
Data synchronization with cloud servers

Secure messaging or communication channels

Dexcom CGM
Electronic Health Records (EHR) systems

DarioHealth
Dario Blood Glucose Monitoring System

I have been using the Dario Blood Glucose Monitoring System for several months now, and it has significantly improved my diabetes management. The device is compact and easy to use, and the app provides real-time insights into my blood sugar levels.

The Dario system has made tracking my blood glucose levels much more convenient. The integration with my smartphone allows me to monitor trends over time, which has been invaluable in adjusting my diet and exercise routines.

I appreciate the personalized recommendations provided by the Dario app. It helps me understand how different foods and activities affect my blood sugar, leading to better control over my condition.

The customer support for DarioHealth is exceptional. They responded promptly to my inquiries and provided thorough assistance in setting up the device.

While the Dario Blood Glucose Monitoring System is effective, I find the lancets to be a bit more painful compared to other devices I've used. However, the benefits outweigh this minor discomfort.

The Dario app's data visualization features are impressive. I can easily share my blood sugar trends with my healthcare provider, facilitating more informed discussions during appointments.

I was initially skeptical about using a smartphone-based glucose monitor, but Dario has proven to be reliable and accurate. It's a game-changer for managing my diabetes on the go.

The Dario system's compact design makes it easy to carry in my pocket, ensuring I can monitor my blood sugar levels anytime, anywhere.

I love the integration with fitness trackers. It allows me to see how my workouts impact my blood sugar, helping me make necessary adjustments to my regimen.

The Dario Blood Glucose Monitoring System has streamlined my daily routine. The convenience of having everything in one device has made managing my diabetes less burdensome.

4.7 out of 5 stars on HealthAiregister.com

Apple Health
Google Fit
Fitbit
Garmin
Samsung Health


Summary: SnoreSounds is a smartphone application developed by Appian Medical that utilizes a neural network algorithm to diagnose obstructive sleep apnea by analyzing snore recordings.

SnoreSounds is an FDA-cleared mobile health diagnostic tool that leverages advanced algorithms to assess snoring patterns and identify potential sleep apnea in users. The application is designed for consumer use, offering a non-invasive and cost-effective alternative to traditional sleep studies. Users can record their snoring sounds using their smartphones, and the app processes these recordings to provide insights into their sleep health. The product aims to improve accessibility to sleep apnea diagnostics and management, particularly for individuals who may not have easy access to sleep clinics or prefer at-home testing. Appian Medical, the company behind SnoreSounds, is a startup based in Severna Park, Maryland, founded in May 2014. The company focuses on developing and commercializing FDA-cleared mHealth diagnostic technologies directly for consumers. SnoreSounds was granted FDA 510(k) clearance in November 2015, confirming its safety and effectiveness for public use. The app is available for download on iOS devices, providing users with a user-friendly interface to monitor and manage their sleep health.

Sleep apnea detection
Snore sound analysis
Real-time monitoring
Data visualization
Patient reporting
Mobile notifications
Cloud data storage
User-friendly interface
Customizable settings
Integration with EHR systems
Secure data transmission
Automated reporting
Patient engagement tools
Clinical decision support
Data analytics
Remote patient monitoring
Compliance with healthcare standards
Multi-user support
Role-based access control
Audit trails

Advanced analytics
Telemedicine integration
Patient portal
Clinical dashboard
Data export options
Customizable alerts
Third-party device integration
Multilingual support
Offline mode
API access

Epic
Cerner
FHIR
HL7 v2
DICOM
SNOMED
ICD-10
Loinc
OpenEHR
HL7 CDA
IHE XDS
IHE XDS-I
IHE XDS.b
IHE XCA
IHE XCPD
IHE XDS-I.b

iOS 12.0+
Android 8.0+
Web browser with HTML5 support

Spain’s National Security Framework (ENS)

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Role-based access control (RBAC)
Multi-factor authentication (MFA)
Audit logging
Data loss prevention (DLP)
Incident response
24/7 monitoring
Real-time intrusion detection
Comprehensive antivirus scans


Summary: PhysIQ's Personalized Physiology Analytics Engine is an FDA-cleared platform that analyzes continuous wearable sensor data to create personalized health baselines, enabling early detection of physiological changes and proactive patient care.

PhysIQ's Personalized Physiology Analytics Engine is a cloud-based platform that processes continuous data from wearable biosensors to establish individualized health baselines. By analyzing vital signs such as heart rate, respiration rate, oximetry, and blood pressure, it detects subtle deviations that may indicate health issues, facilitating early intervention and improved patient outcomes. The platform is FDA-cleared and has been applied in healthcare settings and clinical trials to monitor patients and assess the safety and efficacy of therapies.

Clinicians
Patients
Healthcare Providers
Pharmaceutical Companies
Medical Device Companies

Cardiology
Pulmonology
Endocrinology
Neurology
Orthopedics
Geriatrics
Pediatrics
Oncology
Infectious Diseases
Rheumatology
Hematology
Nephrology
Gastroenterology
Urology
Obstetrics And Gynecology
Dermatology
Ophthalmology
Psychiatry
Anesthesiology
Emergency Medicine

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

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

Continuous physiological data monitoring

Patient-reported outcomes (ePRO) collection

Scalable digital platform for continuous biosensor data

Integration with existing healthcare systems

Samsung Galaxy smartphones
Samsung Galaxy Watch
Bluetooth-enabled wearable sensors

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

Data encryption
Role-based access control
Audit logs
Multi-factor authentication
Data anonymization
Data minimization

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


Summary: BrainScope's Ahead 200 is a handheld device that uses smartphone technology to assess traumatic brain injuries by recording and analyzing electroencephalographs (EEGs).

The Ahead 200 device leverages commercial smartphone hardware and a custom sensor to record and analyze EEGs, providing an interpretation of the brain's structural condition after a head injury. It is indicated as an adjunct to standard clinical practice for evaluating patients considered for a head CT scan, particularly those who have sustained a closed head injury within 24 hours and present with mild symptoms. The device was developed in collaboration with the U.S. Army Medical Research and Materiel Command's Combat Casualty Care Research Program and received FDA 510(k) clearance in May 2015. It is intended for use in urgent care settings to aid in the rapid assessment of traumatic brain injuries, potentially improving triage, reducing unnecessary CT scans, and decreasing healthcare costs. The device is not a substitute for a CT scan and is intended for use in conjunction with other clinical tools. It is designed for patients aged 18-80 years who have sustained a closed head injury within 24 hours and present with mild symptoms. The Ahead 200 is a smaller, more rugged, and modernized version of BrainScope's previous Ahead 100 device, which was cleared by the FDA in November 2014. The device has been utilized in various clinical studies, including those involving concussed athletes in collegiate sports, to assess its effectiveness in real-world settings. BrainScope has received significant funding from the U.S. Department of Defense for the development of its traumatic brain injury assessment technology, totaling over $27 million. The company holds 86 issued and pending patents related to its technology and has received significant funding from private investors to accelerate its development efforts. BrainScope's mission is to develop objective, non-invasive, patient-friendly assessment devices for rapid and easy use in urgent care settings, aiming to improve the early identification, staging, and triage of head-injured patients.

FDA-cleared for traumatic brain injury evaluation

User-friendly interface for healthcare professionals

Rapid assessment of brain function post-injury

Integration with standard clinical practices

Compact and lightweight for easy handling

Durable construction for medical environments

Customizable settings for different clinical scenarios

Compliance with medical device regulations

Telemedicine integration for remote consultations

Mobile application for patient data access

Hospital Information Systems
Electronic Health Records (EHR)
Clinical Decision Support Systems
Telemedicine Platforms
Mobile Health Applications
Patient Monitoring Devices
Laboratory Information Systems
Medical Imaging Systems
Patient Data Management Systems
Clinical Workflow Management Tools

HL7
DICOM
ICD-10
SNOMED CT
LOINC
CPT
FHIR
CDA
C-CDA
NCPDP

Android OS
Bluetooth-enabled devices
Wi-Fi connectivity
USB charging port
Minimum 2 GB RAM
Minimum 16 GB storage
Touchscreen display
Built-in camera
Built-in microphone
Built-in speaker

Compliance with medical device security standards

Compliance with data protection regulations

University of Virginia School of Medicine

The Ahead 200 device offers a non-invasive and objective assessment of traumatic brain injury, which is crucial in urgent care settings.

Its integration with Android smartphones makes it user-friendly and accessible for medical professionals.

The device's ability to rapidly identify and categorize patients with mild symptoms but potential life-threatening TBI has the potential to improve triage and save lives.

The collaboration with the Department of Defense has led to significant advancements in the device's development and clinical studies.

The FDA clearance of the Ahead 200 represents a significant achievement in BrainScope’s mission to develop an objective, non-invasive, patient-friendly assessment device.

FDA clearance for adjunctive assessment of traumatic brain injury


Summary: EndoTool SubQ is a patient-specific insulin dosing system designed to enhance inpatient glycemic control by providing precise subcutaneous insulin recommendations, thereby reducing hypoglycemic events and improving patient safety.

EndoTool SubQ utilizes a proprietary algorithm to model each patient's clinical characteristics and response to insulin, offering individualized dosing recommendations for both adult and pediatric patients aged 2 and above. The system aims to reduce the risk of severe hypoglycemia and standardize insulin dosing protocols across healthcare teams. It received FDA 510(k) clearance in 2015 and has been implemented in various healthcare settings to improve glycemic control and clinician workflow efficiency.

Endocrinology
Diabetes Care
Critical Care
Pediatrics

Patient-specific insulin dosing algorithm

Intravenous and subcutaneous insulin therapy support

Real-time clinical alerts and advisories

Integration with electronic medical records (EMR)

Insights and analytics for glycemic outcomes

Advanced analytics
Mobile access
Customizable reporting
Patient education tools
Remote monitoring
Data visualization
Clinical trial support
Research data integration
Patient engagement features
Telemedicine integration

Epic
Cerner
Allscripts
Meditech
Athenahealth
NextGen
eClinicalWorks
GE Centricity
McKesson
PACS
Laboratory Information Systems
Pharmacy Management Systems
Patient Monitoring Devices
Clinical Decision Support Systems
Order Entry Systems
Billing Systems
Scheduling Systems
Patient Portals
Health Information Exchanges
Data Warehouses

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

Internet Information Services (IIS) 10.0 or later

Web browser support: Chrome, Firefox, Edge, Safari

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Secure Socket Layer (SSL) Certificates
Regular Security Audits
Compliance with Security Standards
User Activity Monitoring

Business Associate Agreement (BAA)
Data Anonymization
Data Minimization
Consent Management
Data Masking
Access Controls
Data Retention Policies
Data Encryption
User Consent Tracking
Privacy Impact Assessments


Summary: Lung Density Analysis™- Functional (LDAf) is an automated imaging tool that maps lung regions affected by COPD, asthma, and other conditions, aiding in personalized care decisions and surgical planning.

LDAf utilizes patented Parametric Response Mapping (PRM) technology to provide comprehensive imaging of normal lung tissue, air-trapping, and emphysema areas. It offers detailed quantitative reports and 3D visualizations to assist clinicians in diagnosing and planning treatments for lung diseases.

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

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

Automated image analysis for COPD components

Mapping of normal lung, air-trapping, and emphysema areas

Quantitative analysis and 3D visualization

Physician summary reports with visualizations and data

LungMap™ report for smoking cessation counseling

Compatible with GE Health Cloud and local PACS/RIS systems

FDA 510(k) Cleared
CE Mark Certified
Health Canada Approved

Data encryption
Access controls
Audit logs

Compliance with healthcare data privacy regulations

Hosted in GE Health Cloud; local deployment options available