Summary: mdbrain is an AI-powered software by Mediaire that automates brain MRI evaluations, providing rapid, quantitative reports to assist radiologists in diagnosing neurological conditions.

mdbrain is an AI-based software solution developed by Mediaire to enhance the efficiency and accuracy of brain MRI evaluations. It offers modules for brain volumetry, lesion characterization, aneurysm detection, and tumor differentiation, delivering quantitative reports and visual overlays directly into the PACS. The software integrates seamlessly into existing radiology workflows, ensuring data security by processing information locally without transmitting patient data externally. It is CE-marked for use in the European Union and is available through various deployment options, including on-premises and cloud-based solutions.

radiologists
neurologists
medical imaging professionals

Germany
European Union
United States
United Kingdom
BeNeLux countries
Nordic countries

SaaS volume-based pricing (pay per analysis) with a one-time installation fee and monthly service fee; free online demo/trial available; contact vendor for volumes and quotes.

commercial proprietary (CE-marked medical device for EU)

Brain volumetry (regional quantitative volumes, cross-sectional and longitudinal)

Lesion characterization and longitudinal lesion comparison (MS, dementia)

Aneurysm detection on TOF-MRA (saccular >5mm)

Tumor differentiation (tumor core vs marginal edema)

Automated DICOM import/export and PACS overlays

Rapid analysis and PDF/report generation (typ. 3-5 minutes)

Longitudinal comparison (Longi-Pull) and prior study inclusion

Auto-pull / auto-route / auto-send workflow automations

Color overlays, diagrams and normative comparison in reports

Quantitative tables and structured results for radiology reports

Brain Volumetry
Lesion Characterization
Aneurysm Detection
Tumor Differentiation

MRI vendors: Siemens, Philips, GE, Canon/Toshiba

Linux/Ubuntu server, Intel i7 (≥4 cores), ≥16GB RAM, ≥500GB HDD; GPU recommended to reduce analysis time

CE marking (MDR) Class IIb
GDPR / EU data protection

Local/on-prem processing (patient data stays in hospital/practice)

On-premises data processing (data/reports do not leave facility)

Anonymization optional (not required for local deployment)

Data minimization by local workflow integration

On-premises (patient data remains local); EU/Europe deployments supported


Summary: mdprostate is an AI-driven tool that automates the identification and classification of prostate MRI lesions, streamlining the diagnostic process for radiologists and urologists.

mdprostate utilizes artificial intelligence to automatically identify and classify lesions in prostate MRI scans according to PI-RADS 2.1, providing quantitative reports and visual overlays directly integrated into PACS systems. It supports both static and longitudinal evaluations, aiding in the monitoring of prostate cancer progression. The tool offers features such as automated prostate segmentation with volume calculation, detection and evaluation of suspicious lesions, and comparison with previous examinations. Additionally, it provides graphical representations of lesion extent, extracapsular extension (EPE), and optional PSA density, facilitating efficient and accurate diagnostics.

Radiologists
Urologists
Medical Imaging Professionals

Germany
European Union
United States
Canada
United Kingdom
France
Italy
Spain
Netherlands
Belgium
Sweden
Denmark
Norway
Finland
Austria
Switzerland
Poland
Czech Republic
Hungary
Slovakia

English German French Spanish Italian Dutch Swedish Danish Norwegian Finnish Polish Czech Hungarian Slovakian

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

Automated assessment of prostate MRI scans

Rapid analysis and report generation (3-5 minutes)

Local data processing ensuring patient data confidentiality

Longitudinal analysis
Contrast-enhanced imaging evaluation

Linux or Ubuntu system with Intel i7 processor, at least 4 cores, 16GB RAM, and 500GB HDD

CE marking as a Class IIb medical device in the European Union

Data processed and stored locally within the healthcare facility


Summary: TBS Osteo is an AI-driven software that enhances bone microarchitecture assessment during DXA scans, improving osteoporosis fracture risk evaluation.

TBS Osteo, developed by Medimaps Group, is an advanced imaging software that analyzes bone microarchitecture to assess fracture risk in osteoporosis patients. Integrated into DXA scans, it provides clinicians with comprehensive reports combining bone mineral density and clinical factors, facilitating informed decision-making. The software is FDA-cleared and CE-marked, with reimbursement codes in the U.S. and adoption in leading hospitals worldwide.

Clinicians
Radiologists
Endocrinologists
Orthopedic Surgeons

Osteoporosis Endocrinology Orthopedics Radiology

United States
Europe
South Korea
Japan
Southeast Asia
South America

English French Korean Japanese Spanish German Italian Portuguese Chinese Russian

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

Compute Trabecular Bone Score (TBS) from lumbar spine DXA images

All-in-one report combining BMD, TBS, and FRAX®/clinical risk factors

Automated TBS detection and editable conclusions

Soft-tissue thickness correction (next-generation)

Retrospective batch analysis of DXA archives

Fleet management and connectivity for DXA devices

TBS Osteo Advanced next-generation software

FRAX (integration/adjusted FRAX outputs)

DICOM
DICOM Structured Reporting (DICOM SR)

FDA clearance (US)
EU MDR / CE marking
ISO 13485:2016

FDA 510(k) clearance
CE / MDR certified
ISO 13485:2016 (BSI certificate)

BAA available
Consent management
Anonymization
Data minimization


Summary: Medis Suite MR is a comprehensive, AI-driven cardiac MRI post-processing software designed to enhance diagnostic efficiency and accuracy in evaluating heart structures and functions.

Medis Suite MR offers advanced tools for analyzing cardiac anatomy, function, flow, and tissue characterization, integrating seamlessly into healthcare IT systems and DICOM networks. It provides AI-powered workflow automations, 2D and 3D visualization, and supports both clinical and research applications.

cardiologists
radiologists
MR technologists
imaging scientists
clinical admins
PACS admins

Cardiac Mri
Cardiology
Radiology
Cardiovascular Imaging
Echocardiography

Netherlands
United States
United Kingdom
Japan
Germany
France
Spain
Italy
Poland
Iran
Mexico
South Korea
China
Australia
New Zealand
India
South East Asia
Middle East
Cono Sur

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

Contact vendor for licensing, deployment, and trial/demo options.

AI-driven LV/RV volumetric function analysis

AI-driven LV, RV, and atrial strain analysis

Inward displacement and regional wall motion quantification

Hemodynamic forces and intraventricular pressure gradient analysis

Late gadolinium enhancement (LGE) quantification

Automated mitral valve tracking for flow/valve assessment

AI-assisted contouring and single-click workflows

Batch/automated workflow and server-side deployment to workstations

Quantitative reporting and export of measurements

Advanced Tissue Characterization (mapping/ECV)

Hemodynamic Forces/Intraventricular Pressure Gradients (research)

Strain/Deformation (advanced Q-strain tools)

DICOM-compliant modalities (major MR vendors)

Server-based deployment with workstation clients; Windows workstations for client software; DICOM/PACS connectivity required.

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

Encryption (in transit/storage as part of integrations)

Load-balanced server clusters (AWSALB cookies observed)

Local deployment (on-prem) option for data control

Medisys Data Solutions
Advanced Data Systems
TelTech Systems
MedStack
MedSteer
MedCall System
MedHost
CareVue
Midas DataVision
Medis Media
Virti
HealthStream jane AI
American Red Cross Resuscitation Suite
PsyTech VR
RQI Partners
Laerdal
CAE LearningSpace
FundamentalVR

Very easy to navigate, easy to learn how to use, customer service is always very helpful

I found that I was assisted very well and in friendly way about my queries

Client portal is ready to use and access!

This is the best system for monitoring and surveillance of potential public health threats

It helps in improving operational effectiveness and customer care resulting in reduced costs and medical errors

It requires an experienced person to use it

I really the ease of the site and the ability to reach other doctors with information about referrals

I can't really think of anything, there is nothing that I really dislike about it!

This product can be difficult or unhelpful for clients who have providers who do not use this system

This system works very well and I haven't encountered any problem with it

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification

Epic
Meditech Expanse
Cerner
Varicent
CrelioHealth LIMS
ARIA Oncology Information System
Zanda
ClinicMind
Electra HMS


Summary: Veolity is an AI-driven software solution designed to enhance the efficiency and accuracy of lung cancer screening by automating the detection, segmentation, and reporting of pulmonary nodules in chest CT scans.

Veolity is a lung screening workstation developed by MeVis Medical Solutions AG, optimized for high-throughput environments like lung cancer screening programs. It integrates AI-based computer-aided detection (CAD) for solid pulmonary nodules, automates the comparison of current and prior CT scans, and generates guideline-compliant reports, thereby improving diagnostic workflow and quality. Veolity is CE certified (Class IIa) and FDA cleared (Class II).

radiologists
clinicians
medical imaging professionals

Germany
USA
Canada
UK
Australia
South Korea
Hong Kong
New Zealand

Germany
USA
UK
Australia
South Korea
Hong Kong
New Zealand

Report generation according to guidelines

Temporal registration and nodule comparison

Fully integrated solid pulmonary nodule CAD

Veolity LungCAD
Veolity LungRead
MeVis Distant Services
MeVis Liver Suite

Clinical Information System (CIS)
PACS
Radiological Information System (RIS)
Third-party applications

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

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

FDA 510(k)
CE/MDR
ISO 13485
ISO 27001
SOC 2

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: LuCAS-Plus is an AI-driven lung CT diagnostic tool that integrates with hospital PACS, offering smart tracking and comparison features for efficient patient care.

LuCAS-Plus is a lung cancer diagnostic solution developed by Monitor Corporation, utilizing artificial intelligence to detect and analyze lung nodules in CT scans. It features a dedicated viewer, automatic matching with previous results for simplified progression tracking, and highlights new findings to ensure they are not overlooked. The system operates continuously, analyzing images within three minutes using advanced AI algorithms. It is compatible with hospital PACS and is currently available exclusively in South Korea. The product has received certifications from the Korea Ministry of Food and Drug Safety and the European Medical Device Directive, with the CE certificate valid until May 2024. Clinical studies have demonstrated high diagnostic accuracy, with a sensitivity of 93.5% and specificity of 85.8%. LuCAS-Plus is currently used in over 100 medical institutions in Korea and is scheduled for introduction to Japanese medical institutions starting in April 2024.

cloud-based
hybrid
on-prem (dedicated hardware)
on-prem (virtualized/Docker)

Nodule characterization (type classification)

Longitudinal follow-up/comparison with prior CTs

Measurement reporting (nodule size and change)

Triggered analysis (automatic, on demand, post-acquisition)

DICOM-compatible imaging environment; supports deployment as cloud service, dedicated local hardware or virtualized (VM/Docker)

Korea MFDS approval (Medical image CAD software)

Data encryption
Network security
Server hardening
System monitoring
Logging and alerting


Summary: GIQuant is a software solution that quantifies small bowel motility using cine MRI sequences, providing objective scores to assess Crohn's disease activity and monitor treatment response.

GIQuant analyzes dynamic MRI data to produce motility scores, aiding in the evaluation of Crohn's disease activity. It integrates seamlessly into existing radiology workflows, offering objective assessments that support clinical decision-making and research. The software is FDA Cleared (Class II) and CE Marked (Class IIa) for use in adults and children, and it is compatible with standard cine MRI sequences without requiring special acquisition protocols. GIQuant can be deployed within hospital infrastructure or accessed via Motilent’s cloud-based platform, Entrolytics, for research and data management projects. It supports multi-center studies by standardizing motility assessments across sites, facilitating collaborative research and clinical trials. Additionally, GIQuant is GDPR compliant, ensuring patient data is processed on-premises without external data transfer.

Radiologists
Gastroenterologists
Researchers
Clinical Trial Coordinators

Gastroenterology
Radiology
Clinical Research

Quantifies small bowel motility from MRI sequences

Provides objective disease activity scores for Crohn's disease

Integrates with existing PACS and DICOM viewers

Processes historical and routine MRE data

Supports annotation of results for radiology reports

Requires motility (cine) MRI acquisition with optimal parameters

PACS
DICOM viewers
IEP (UK trusted pathway)
PowerShare (North America gateway)

On-prem hospital deployment; integrates with existing PACS/DICOM infrastructure; no dedicated hardware required

Developed to IEC 62304:2006 medical device software standard

On-premises data processing (no cloud or external transfer)

Integration via trusted hospital pathways/gateways

All patient data processed on-premises (no external transfer)

Processed on-premises at hospital; no cloud hosting


Summary: Myrian XP-Prostate is an AI-enhanced medical imaging software designed to assist in the detection and monitoring of prostate cancer through advanced MRI analysis.

Myrian XP-Prostate offers comprehensive, automated post-processing tools for multiparametric MRI examinations of the prostate, facilitating efficient lesion detection and oncology follow-up. Its AI option analyzes prostate MRI scans, highlighting suspicious areas to aid in lesion detection and monitoring disease progression.

clinicians
radiologists
oncologists
medical imaging professionals

Radiology
Oncology
Urology
Medical Imaging
Ai In Healthcare
Prostate Cancer Imaging
Mri Imaging
Medical Imaging Software
Radiology Software
Medical Imaging Ai
Medical Imaging Solutions

Europe
Asia
North America
South America
Africa
Australia
New Zealand
Middle East
Central America
Caribbean
Oceania
Antarctica
Arctic
Sub-Saharan Africa
North Africa
Central Asia
South Asia
Southeast Asia
East Asia
Western Europe
Eastern Europe

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

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

Automatic detection of suspicious areas (PIRADS > 3)

Integration in standard reading environment (PACS)

Integration with RIS (Radiological Information System)

Standalone third-party application support

Locally on dedicated hardware deployment

Locally virtualized deployment (virtual machine, Docker)

Automatic analysis trigger right after image acquisition

PACS
RIS
Standalone third-party applications

Dedicated hardware, Virtual machine, Docker

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


Summary: HealthOST Bone solution by Nanox.AI is an AI-driven software that detects vertebral compression fractures in CT scans and generates structured reports for medical staff review.

HealthOST Bone solution utilizes artificial intelligence to analyze CT scans of the chest or abdomen, identifying vertebral compression fractures. The software integrates seamlessly into existing radiology workflows, providing automated detection and report generation to assist clinicians in diagnosis and treatment planning.

Radiologists
Orthopedic Surgeons
Medical Imaging Technologists

Musculoskeletal Imaging
Orthopedics
Radiology

Automated vertebral compression fracture detection

Estimation of bone mineral density from CT scans

Quantitative vertebral height loss measurement

Triaging and prioritization of studies for radiologist review

Visual overlays highlighting suspicious vertebrae on CT images

Structured result generation and measurements

Batch processing of CT series including spine

Clinical decision support for osteoporosis risk

Performance and throughput monitoring and analytics

Clinical validation and analytics module

PACS
RIS
EHR
DICOM storage/Viewers
Reporting systems

DICOM-compatible CT images; cloud-hosted Nanox.CLOUD or PACS integration (on-prem connector)

HIPAA
GDPR
FDA 510(k) clearance
EU MDR (CE mark)

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

Business Associate Agreement (BAA) available

Data minimization and purpose limitation

US and EU hosting region options (cloud); local/PACS deployment available

Addenbrooke's Hospital (Cambridge University Hospitals NHS Foundation Trust)

Fracture Liaison Services (NHS sites participating in ADOPT)

Nanox.AI / Nanox customers participating in ADOPT

email
phone
ticketing
client portal (Zendesk)
web contact form

documentation
webinars
live_online demos
onsite implementation support
product demos / white papers

PACS
RIS
EHR (via standard interfaces)
DICOM storage/Viewers
Reporting systems


Summary: suiteHEART® is a cardiac MRI analysis software developed by NeoSoft, designed to streamline the review and reporting of cardiac conditions with an intuitive interface and automated segmentation features.

suiteHEART® software by NeoSoft offers comprehensive tools for cardiac MRI analysis, including automated segmentation for function, flow, and myocardial evaluation. It supports multiple MRI vendors and provides customizable reporting features, aiming to reduce analysis time and enhance diagnostic efficiency.

clinicians
radiologists
cardiologists
medical imaging professionals

United States
Canada
European Union
New Zealand
United Arab Emirates
Australia
Brazil
Israel
India
Egypt
South Africa
Armenia
Azerbaijan
Hong Kong
Iraq
Lebanon
Mongolia
Nepal
Turkey
Vietnam
Austria
Belgium
Republic of Cyprus
Estonia
Finland
France
Germany
Greece
Iceland
Ireland
Italy
Liechtenstein
Lithuania
Luxembourg
Malta
Netherlands
Poland
Portugal
Romania
Spain
Sweden
Switzerland
United Kingdom
Mexico
Chile

Quantitative myocardial perfusion analysis

Encryption
Role-based access control
Audit logs
Multi-factor authentication
Password policies
Continuous monitoring
Separation of duties
Dedicated security team
Performance audits
Security certifications
Privacy certifications

Hosting infrastructure powered by Amazon AWS

US, EU, New Zealand, UAE, Australia, Brazil, Israel, India

Oklahoma Heart Institute
Morristown Medical Center

suiteHEART® saves me a ton of time post processing. Overall, I give it two thumbs up.

suiteHEART® cut down my analysis time by 80%, sometimes even 90%. It’s definitely a game changer.

4.7/5 (3 reviews) - G2
0.0/5 (0 reviews) - Capterra

GE Healthcare
Siemens Healthineers
Philips Healthcare


Summary: StrokeViewer is a cloud-based stroke workflow technology that enhances acute care by providing rapid, secure access to patient imaging and AI-driven analysis, facilitating informed decision-making and improved outcomes.

StrokeViewer is a cloud-native platform designed to streamline stroke care by enabling fast, secure sharing of patient imaging data across hospitals and regions. It offers a certified DICOM viewer for remote diagnosis and integrates advanced AI algorithms for triage and treatment decisions, including Large Vessel Occlusion (LVO) detection, hemorrhage identification, and perfusion analysis. The platform supports both CT and MR imaging modalities, ensuring comprehensive stroke assessment. Additionally, StrokeViewer facilitates real-time communication among stroke teams through secure messaging and patient study forwarding, optimizing collaboration and reducing treatment delays.

Clinicians Nurses Patients Admins Payers

Neurology
Radiology
Emergency Medicine
Interventional Neuroradiology
Stroke Care
Acute Care

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

English Spanish French German Italian Dutch Portuguese Arabic Chinese Japanese

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

AI-assisted large vessel occlusion (LVO) detection and triage

CT/MR perfusion analysis with quantitative perfusion maps

Certified mobile DICOM viewer for full series review

Automatic case forwarding across regional stroke networks

Push notifications and alerts to stroke teams

Secure image sharing and study access anywhere

PACS integration with automatic results return

Remote diagnosis support via mobile and desktop

Automated image processing pipeline in the cloud

Dashboards and metrics for stroke workflow performance

Study-level reporting and numeric outputs

Weekly cloud updates and model improvements

Vendor-agnostic integration with CT and MRI scanners

Inter-hospital study transfer and routing

Secure messaging and screen sharing within stroke teams

Instant access to original and AI-processed images

Cloud-native and hardware-free stroke technology

Regional image sharing and network routing

PACS
CT scanners
MRI scanners
Philips
Google Cloud
Hospital ADFS/SSO

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

HIPAA
GDPR
ISO 13485:2016
ISO/IEC 27001:2022
NEN 7510-1:2017+A1:2020
CE
UKCA
FDA 510(k)
TGA
MEDSAFE
Taiwan FDA
Thai FDA
CDSCO
Swissmedic

Encryption in transit (TLS)
SSO/ADFS integration
Role-based access control (RBAC)
Audit logs
Secure DICOM transfer
Multi-factor authentication
IP whitelisting
Session management
End-to-end encryption option
Key rotation every 90 days

BAA available
Consent management
Anonymization
Data minimization
Data residency compliance
Patient data segregation
Geographic restrictions
Data isolation
Real-time threat detection
Anomaly detection

Hosted on Google Cloud; regional cloud hosting options (US/EU) available


Summary: ChestEye Quality is an AI-powered tool that assists radiologists by analyzing chest X-ray images and reports to identify potential discrepancies, enhancing diagnostic accuracy and patient outcomes.

ChestEye Quality is an AI-driven double-reading medical imaging tool developed by Oxipit. It analyzes final radiologist reports and corresponding medical images in near-real-time to identify reporting errors and improve patient outcomes. The platform operates in both retrospective and prospective modes, providing comprehensive quality assurance for chest X-rays, musculoskeletal X-rays, mammography studies, and CT scans. It integrates seamlessly into existing radiology workflows, offering quick deployment and minimal technical involvement from the client side. The system is fully GDPR compliant, anonymizing all identifiable data and operating onsite. Additionally, it supports multiple languages, accommodating diverse healthcare environments. Built upon the ChestEye Imaging Suite, ChestEye Quality covers 75 of the most common radiological findings, addressing over 90% of pathologies encountered daily in medical institutions. This extensive coverage enables the detection of subtle secondary findings, such as small pulmonary nodules, facilitating earlier detection of conditions like lung cancer. By providing a 'second set of eyes,' ChestEye Quality acts as a safety net, assisting radiologists in real-time and improving diagnostic performance. The platform has been deployed in multiple medical institutions across Europe, demonstrating its effectiveness in enhancing diagnostic accuracy and patient outcomes. Oxipit, the company behind ChestEye Quality, was founded in 2019 and is headquartered in Vilnius, Lithuania. The company has expanded its global reach, with deployments in various countries, including Brazil, where it secured ANVISA clearance for the ChestEye AI Suite in 2023. Oxipit continues to collaborate with international partners to further enhance the capabilities and accessibility of its AI diagnostic products.

Clinicians
Radiologists
Medical Institutions
Healthcare Providers
Patients

Radiology
Pulmonology
Oncology
Orthopedics
Mammography
Cardiology
Emergency Medicine
Intensive Care
Primary Care
Teleradiology

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

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

Lithuania
United States
Brazil
Australia
Germany
United Kingdom
France
Spain
Italy
India

Automated chest X-ray double-reading for quality assurance

Preliminary AI-generated reports for common findings

Heatmaps and visualizations of detected findings

Comparison of radiologist reports with images to detect missed findings

Analytics and dashboards for quality assurance metrics

API interface
Analytics module
Web user interface

PACS
RIS
Sectra
Alma Medical
Blackford Analysis

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


Summary: ChestLink is Oxipit's autonomous AI application that generates reports for normal chest X-rays without radiologist involvement, enhancing efficiency and addressing radiologist shortages.

ChestLink is an AI-driven medical imaging application developed by Oxipit, designed to autonomously analyze chest X-rays and generate reports for images without abnormalities, thereby reducing the workload of radiologists and improving diagnostic efficiency. It received CE Class IIb certification in April 2022, marking it as the first regulatory-approved AI medical imaging application capable of performing diagnostics autonomously. The application operates with 99.9% sensitivity in detecting normal chest X-rays, automating 15-40% of daily reporting workflows, depending on the medical institution. This capability is particularly beneficial in primary care settings, where a significant portion of chest X-ray studies are normal, yet still require reporting. ChestLink has been deployed in multiple pilot locations, processing over 500,000 real-world chest X-ray images, demonstrating its effectiveness in clinical environments. The application is part of Oxipit's CXR Suite, which also includes ChestEye and Oxipit Quality, further enhancing diagnostic confidence and streamlining radiology workflows. Oxipit continues to advance AI-powered diagnostics, shaping the future of medical imaging.

Radiologists
Healthcare Providers
Medical Institutions
Clinics
Hospitals
Primary Care Providers
Diagnostic Centers
Medical Imaging Professionals
Healthcare Administrators
Medical Imaging Technologists

Radiology
Chest Imaging
Medical Imaging
Diagnostic Imaging
Healthcare It
Artificial Intelligence In Healthcare
Medical Software Development
Health Technology
Clinical Workflow Automation
Diagnostic Support Systems

European Union
United Kingdom
Norway
Portugal
Australia
Brazil
United States
Canada
India
Japan

English Norwegian Portuguese Spanish German French Italian Dutch Finnish Lithuanian

Lithuania
United Kingdom
Norway
Portugal
Australia
Brazil
United States
Canada
India
Japan

Autonomous reporting of chest X-rays with 99.9% sensitivity

Automates up to 40% of radiologists' workflow for healthy chest X-rays

Identifies 75 common radiological findings

Real-time quality review tools to minimize diagnostic errors

Scalable for organizations handling from 5,000 to 500,000+ chest X-rays annually

Rapid deployment with minimal IT setup, going live in less than a week

PACS
RIS
AI marketplace platforms
Sectra Amplifier Store
CARPL.ai

Dedicated hardware, virtualized environments, cloud-based infrastructure

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent management
anonymization
data minimization


Summary: Pionus is a healthcare software product developed by PAIRE, designed to enhance the efficiency and accuracy of nuclear medicine practices through advanced AI-driven tools.

Pionus leverages artificial intelligence to assist nuclear physicians by automating time-consuming tasks such as segmentation and quantification, thereby improving productivity and reducing measurement variability. It also provides instant second opinions and access to new indicators like TMTV, facilitating more informed clinical decisions.

nuclear physicians
radiologists
medical imaging specialists

Nuclear Medicine
Radiology
Medical Imaging

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

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

Unified platform for Cloud, Application, Data, and SaaS security

Autonomous remediation of misconfigurations

Zero-touch operations for policy management

Real-time vulnerability and malware detection

GitLab
GitHub
Terraform
AWS
Azure
GCP
Kubernetes (EKS, AKS, GKE, Rancher)
SOC2
ISO 27001
CIS Benchmarks
NIST CSF
NIST 800-53
FedRAMP
FISMA


Summary: Pixyl.Neuro.BV is an AI-powered software that automates brain MRI analysis to assist in diagnosing and monitoring neurodegenerative diseases.

Pixyl.Neuro.BV is an AI-driven software designed to automate the analysis of brain MRI images, facilitating rapid detection, early diagnosis, and objective monitoring of neurological disorders. It quantifies brain region volumes, compares them to normative data, and identifies abnormal atrophy, thereby supporting differential diagnosis. The software operates with minimal MRI protocols and delivers results within minutes, integrating seamlessly into standard radiology workflows. It has received FDA 510(k) clearance and CE-mark class IIa certification, ensuring its safety and efficacy for clinical use.

Radiologists Neurologists Clinicians Researchers

Neurology
Neuroradiology
Neurodegenerative Diseases
Multiple Sclerosis
Alzheimer's Disease
Parkinson's Disease
Dementia

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

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

Pricing based on number of installations and analyses; contact vendor for details.

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

Brain volume quantification
Brain segmentation
Comparison with normative values
Longitudinal analysis

PACS
AI marketplace
distribution platform
stand-alone web-based

Dedicated hardware, Virtual machine, Docker, Cloud-based infrastructure

CE Class IIa - MDR
FDA 510(k) cleared Class II


Summary: QP-Liver is an AI-driven software that automates liver segmentation and quantifies tissue fat and iron levels from MRI scans, enhancing the diagnosis and management of diffuse liver diseases.

QP-Liver is a post-processing solution that performs fully automatic analyses of abdominal MRI examinations containing a multi-echo chemical shift (MECSE) sequence. It generates parametric maps of fat and iron, offering voxel-wise resolution and a structured quantitative report that compares liver values with normative data. This tool quantifies fat and iron concentration, enabling comprehensive steatosis and iron overload evaluation, thereby improving the quality of radiologist reports and decision-making processes within healthcare institutions.

clinicians
radiologists
medical researchers
healthcare administrators
patients

Radiology
Gastroenterology
Hepatology
Internal Medicine
Oncology
Endocrinology
Cardiology
Diabetology
Transplantology
Pathology
Surgery
Emergency Medicine
Family Medicine
Geriatrics
Pediatrics
Obstetrics And Gynecology
Pulmonology
Nephrology
Orthopedics
Neurology

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

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

Standardized image quality across equipment manufacturers

Data encryption at rest and in transit
Data anonymization and pseudonymization
ISO 27001:2022 certification

Data anonymization and pseudonymization
HIPAA compliance
GDPR compliance


Summary: Neurocloud PET is a software solution by Qubiotech that automates the quantitative analysis of brain PET images, aiding in the diagnosis and monitoring of neurodegenerative diseases.

Neurocloud PET provides automatic assistance in analyzing brain PET images, offering professionals in neurology and nuclear medicine tools for diagnosing and monitoring neurodegenerative diseases. It identifies regions with abnormal metabolism through comparative analysis against an extensive age-stratified database of normal individuals. The software performs analyses based on regions of interest, asymmetries, and voxel-to-voxel parametric statistical methods. For PET Amyloid imaging, it provides SUVR values and results (positive/negative amyloid) compared to validated thresholds. The platform delivers quantitative information and overlays analysis results onto PET images fused with anatomical images.

clinicians
nuclear medicine specialists
neurologists

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

English
Spanish
Portuguese
German
French
Italian
Dutch
Swedish
Norwegian
Danish
Finnish
Polish
Czech
Slovak
Hungarian
Austrian German
Swiss German
Australian English

cloud-based
on-premises
virtualized (VM, Docker)

Automated brain PET quantification (FDG and amyloid)

PET/MRI (or CT) co-registration and fusion

Comparison against age-stratified normal PET database

Voxel-to-voxel (parametric) statistical analysis

SUVR calculation and amyloid positive/negative classification

Color image overlays and fused result images

Interactive viewer and customizable reports

Batch/automated processing integrated with PACS workflow

Neurocloud VOL
Neurocloud SPECT
Neurocloud SISCOM

PACS
RIS
Alma Health Platform
Deepc AI platform
AI marketplace / distribution platforms

Supports web browser access; can be deployed on dedicated hardware or virtualized environments (VM/Docker); requires PACS connectivity and DICOM-capable network

BAA available
consent mgmt
anonymization
data minimization

Supports deployment in various regions; specific data residency options should be confirmed with the vendor


Summary: Neurocloud SISCOM is a fully automated software solution by Qubiotech that accurately identifies epileptogenic foci in epilepsy patients by co-registering SPECT and MRI images, enhancing diagnostic precision and efficiency.

Neurocloud SISCOM performs co-registration of ictal and interictal SPECT images with MRI, applying subtraction techniques to pinpoint epileptogenic zones. It offers a parametric map of identified voxels, data tables with maximum Z-Scores for each region of interest, and SPECT-MRI fusion images. The SISCOM procedure, recommended by the EANM, demonstrates over 80% sensitivity and over 75% specificity in locating epileptogenic foci. The software integrates seamlessly with PACS systems, providing rapid, intuitive, and fully automated processing, and is clinically validated with CE marking.

neurologists
epileptologists
radiologists
medical imaging specialists

Spain
Europe
United States
Latin America
Asia
Africa
Australia
Canada
Mexico
Brazil
Argentina
Chile
Colombia
Peru
Venezuela
Ecuador
Guatemala
Cuba
Bolivia
Dominican Republic

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

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


Summary: Neurocloud VOL is a software solution by Qubiotech that provides volumetric analysis for quantifying brain atrophy and lesions in MRI scans, aiding in the diagnosis and monitoring of neurodegenerative diseases.

Neurocloud VOL automates the segmentation of brain structures in MRI T1 and FLAIR images, comparing volumetric data with a large age-stratified database of healthy controls. It identifies atrophy in cortical and subcortical regions and detects inflammatory lesions in white matter, presenting results through graphical and tabular data. The software supports longitudinal analysis, tracking changes in atrophy and lesion progression over time, and integrates seamlessly with PACS systems for efficient clinical workflow.

radiologists
neurologists
neuroimaging specialists
clinicians
medical researchers
healthcare providers

Neurology
Radiology
Neuroimaging
Neurodegenerative Diseases
Multiple Sclerosis
Epilepsy
Dementia
Alzheimer's Disease
Parkinson's Disease
Brain Atrophy
Brain Lesions
Mri Imaging
Medical Imaging Analysis
Clinical Diagnostics
Healthcare Software
Medical Technology
Healthcare It
Medical Imaging Software
Neurodegeneration
Neuroimaging Biomarkers

Spain
Europe
United States
Canada
Latin America
Asia
Australia
Africa
Middle East
Global

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

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

Atrophy and white matter lesion identification

Brain region of interest (ROI) segmentation

Normative comparison using age-stratified database

Longitudinal analysis of atrophy and lesion evolution

Interactive decision support
Report suggestion

PACS
RIS
AI marketplace
Web-based platforms

Dedicated hardware, Virtual machine, Docker, Cloud-based

Encryption
Role-based access control (RBAC)
Audit logs
Data residency compliance

Data anonymization
Data minimization
Data residency compliance


Summary: qMSK is an AI-powered software developed by Qure.ai that assists in the detection and analysis of musculoskeletal (MSK) fractures in X-ray images, enhancing diagnostic accuracy and workflow efficiency.

qMSK utilizes deep learning algorithms to analyze X-ray images of 15 anatomical regions, identifying signs of fractures and providing visual aids such as bounding boxes to highlight suspected areas. It processes scans in under 20 seconds and can be deployed on cloud or on-premises, supporting all major CR, DR, and ultraportable X-ray systems. The software is CE Class IIb certified under the European Union Medical Device Regulation (EU MDR).

radiologists
emergency department staff
teleradiologists
clinicians

Orthopedics
Emergency Medicine
Radiology

AI-powered detection of fractures in musculoskeletal X-rays

Bounding boxes highlighting suspected fracture sites

Worklist prioritization and auto filters for valid body parts

Processing time under 20 seconds per scan

Compatibility with all major CR, DR, and ultraportable X-ray systems

Sensitivity greater than 90% for fracture detection

Multiple view analysis to reduce diagnostic errors

Integration with hospital information systems

Dedicated hardware or virtualized environments for on-premises deployment; cloud infrastructure for cloud deployment

Secure cloud servers with Amazon Web Services and Azure Cloud

Protected data communication via encrypted APIs

License managers for user authentication

Compliance with GDPR and other privacy regulations

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


Summary: RBfracture is an AI-powered system that automates fracture detection in X-rays, enhancing diagnostic accuracy and efficiency in emergency and radiology departments.

RBfracture is an AI-driven tool designed to assist clinicians in the rapid and accurate detection of fractures, dislocations, lipohemarthrosis, and effusions in X-ray images. It analyzes the entire appendicular skeleton, including the thoracic and lumbar spine, and provides decision support for both pediatric and adult patients. The system offers features such as worklist prioritization and visual summary reports to streamline workflow and improve patient care. RBfracture is CE-marked as a Class IIa medical device under the European Medical Device Regulation (MDR).

clinicians
radiologists
emergency department staff

Orthopedics
Trauma
Radiology
Emergency Medicine

Europe
United States
Asia
Australia
Africa
South America
North America
EMEA
DACH region
Netherlands
Denmark
South Korea

Automated fracture detection across entire appendicular skeleton

Detection of joint effusions in elbows and knees

Dislocation detection in multiple joints

Confidence scoring
Clinician feedback integration

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

HIPAA
GDPR
ISO 13485
EU MDR Class IIa
FDA clearance expected early 2025

CE Mark (EU MDR Class IIa)
ISO 13485
FDA clearance expected early 2025


Summary: Rapid CTA by RapidAI is an AI-driven imaging solution that enhances stroke diagnosis by providing rapid, detailed CT angiography (CTA) images, facilitating swift identification of large vessel occlusions (LVOs) and assessment of collateral circulation.

Rapid CTA utilizes advanced artificial intelligence to process CT scans, delivering clear, color-coded images that highlight areas of occlusion and collateral flow. This enables clinicians to make timely, informed decisions regarding stroke treatment, improving patient outcomes and workflow efficiency.

Clinicians
Radiologists
Neurologists
Emergency Physicians

United States
Canada
Europe
Asia
Australia
South America
Africa

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

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

Automated detection of large vessel occlusions (LVOs) in CT angiography scans

Rapid triage and notification to clinical teams via PACS, email, and mobile app

Integration with PACS and DICOM systems for seamless workflow

EMR synchronization and patient-context sharing

Automated report generation and data capture

3D imaging reconstruction of aortic arch, carotid tortuosity, and neurovasculature

Color-coded overlays to identify occlusion areas and assess collateral vessels

Multi-angle perspectives for precise stroke diagnosis

Enhanced procedural clarity to support first-pass reperfusion

FDA-cleared medical device for detecting suspected intracranial hemorrhage (ICH) and LVO from CT imaging

ISO 27001 and ISO 27701 certified for information security and privacy management

HIPAA and GDPR compliant for data protection

Supports multiple deployment options: on-premises, cloud, or hybrid infrastructure

Flexible data residency options with global deployments and data processing agreements

Real-time analysis with up to 75% faster processing compared to traditional methods

Integration with multiple AI providers or local deployment for maximum control and compliance

End-to-end encryption for secure data handling

Customizable workflows to fit hospital needs

24/7 support with a target uptime of 99.9%

Rapid NCCT Stroke for non-contrast CT imaging analysis

Rapid ASPECTS for automated Alberta Stroke Program Early CT Score generation

Rapid LVO for large vessel occlusion detection

Rapid Perfusion Imaging for cerebral blood flow analysis

AngioFlow for perfusion imaging in the angio suite

FDA 510(k) clearance
CE certification, Class IIa, MDD
ISO 27001
ISO 27701

End-to-end encryption
RBAC
SSO/SAML
Audit logs
2FA

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

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

Immediate attentive informative answers to all my questions.

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

We just added the Rapid PM to our practice. Everyone that we've dealt with at the company has been wonderfully helpful.

It's fast. Staff uses it well and learned it well.


Summary: Rapid PE is an AI-driven software by RapidAI designed to expedite the identification and communication of suspected central pulmonary embolism (PE) cases, enhancing patient triage and care coordination.

Rapid PE utilizes artificial intelligence to analyze computed tomography pulmonary angiograms (CTPAs), automatically detecting suspected pulmonary embolisms and delivering real-time notifications to physicians. This facilitates faster patient triage and treatment initiation, aiming to improve patient outcomes by reducing time to diagnosis and therapy. Integrated with Rapid Workflow for PE, it offers a comprehensive solution for managing PE cases from suspicion through treatment.

Pulmonology
Emergency Medicine
Radiology

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

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

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

AI-driven pulmonary embolism triage and notification

Real-time identification and communication of suspected central pulmonary embolism

Synchronized patient creation in Rapid apps and EMR upon admission

Automated data transfers along the patient journey to avoid double documentation and maintain data integrity

Configurable integration based on HL7/FHIR standards

Compatible with most EMR systems and hospital specifications

Real-time browser notifications of new cases

Preview of Rapid results and source files

Integration with third-party identity providers for single sign-on

Rapid Web App
Rapid Workflow
Rapid Induct
Rapid Access terminals
RapidCheck
Rapid Induct mobile app
Rapid Contractor Management

Epic
Cerner
Allscripts
GE Healthcare PACS
Philips PACS
Siemens PACS
LabCorp
Quest
Roche

FDA 510(k) clearance
ISO 27001
ISO 13485
SOC 2

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


Summary: Rayscape's Chest X-ray solution leverages AI to detect and localize 148 thoracic pathologies, enhancing diagnostic accuracy and workflow efficiency for radiologists.

Rayscape's Chest X-ray solution utilizes artificial intelligence to analyze chest X-ray images, identifying and localizing 148 thoracic pathologies across 17 classes. It provides additional features such as automated cardiothoracic ratio calculation, bone suppression and subtraction, and COVID-19 scoring, offering a comprehensive overview of the patient's condition from a single scan. The system integrates seamlessly with existing infrastructure, including PACS and cloud-based platforms, and delivers results within 3 to 10 seconds, facilitating rapid clinical decision-making.

radiologists
clinicians
medical imaging professionals

Pulmonology
Cardiology
Infectious Diseases
Thoracic Surgery
Emergency Medicine
Intensive Care
Oncology
Orthopedics
Pediatrics
Geriatrics
Sports Medicine
Occupational Medicine
Internal Medicine
Family Medicine
Urgent Care
Public Health
Preventive Medicine
Hospitalists
Critical Care
Pathology

English Romanian Polish Slovak Croatian Hungarian

Detection of 148 chest findings grouped into 17 classes

Automated cardiothoracic ratio calculation

Localization of pathologies on X-ray images

Integration via AI marketplace or distribution platform

PACS
Alma Health Platform
Blackford Analysis
Deepc
Philips Healthcare
INFINITT AI Platform

Server with 4 CPU/8 GB/500 GB or 16 CPU/32 GB/1 GPU; on-prem, hybrid, or cloud deployment

Data anonymization
Access control for authorized staff
Data stored on-site

No sharing of patient data with third parties

Data stored on-site; no sharing with external parties


Summary: Rayscape's Lung CT is an AI-powered solution that assists radiologists in detecting, measuring, and tracking pulmonary nodules on chest CT scans, aiding in the diagnosis and monitoring of lung conditions such as cancer and COVID-19.

Rayscape's Lung CT utilizes artificial intelligence to identify and analyze lung nodules ranging from 3 to 30 mm in diameter on chest CT scans. It provides automated detection, measurement, and tracking of nodules, including their diameter, volume, and morphological attributes. The solution also compares nodule characteristics across follow-up scans, offering insights into nodule evolution and growth. Additionally, it quantifies lesions caused by SARS-CoV-2 infection, enhancing diagnostic accuracy and patient care.

radiologists
clinicians
medical imaging specialists

Pulmonology
Oncology
Infectious Diseases

United States
Europe
Asia
Australia
Canada

Romania
Poland
Germany
Netherlands
United States

Nodule detection
Nodule localization
Nodule measurements
Volume calculation
Diameter calculation
Malignancy scoring
Automatic comparison of nodules
SARS-CoV-2 lesion quantification

Follow-up recommendations
Comparative tracking

PACS
RIS
AI marketplace
Cloud-based platforms

Dedicated hardware
Virtual machine
Docker
Cloud infrastructure


Summary: FerriSmart is an AI-powered software developed by Resonance Health that automates the quantification of liver iron concentration (LIC) from MRI images, aiding in the diagnosis and management of iron overload conditions.

FerriSmart utilizes a convolutional neural network to analyze R2-MRI images, providing rapid and accurate LIC measurements without the need for contrast agents or additional equipment. It is FDA 510(k) cleared and CE marked, ensuring its safety and efficacy in clinical settings. The software integrates with Resonance Health's FAST portal for secure DICOM transfer and is compatible with various MRI scanners operating at 1.5T and 3T. FerriSmart is intended for use by healthcare professionals in the assessment of conditions such as thalassemia and hemochromatosis, offering a non-invasive and reproducible method for monitoring liver iron levels over time.

radiologists
clinicians (hepatology/hematology)
MRI technologists
imaging providers/centres
clinical laboratories
hospital administrators

Pediatrics (paediatric Iron Overload Management)

United States
Australia
European Union
International/global

Contact vendor for pricing and deployment options (no public prices; enterprise/volume-based contracts; trial/demo by request).

AI-powered automated liver iron concentration (LIC) quantification

Compatibility with most MRI scanner makes and models (1.5T; 3T support noted)

Results robust to inflammation, fibrosis, cirrhosis, and steatosis

Integration with core lab workflow for centralized processing

LiverSmart (combined FerriSmart + HepaFatSmart report)

3DR Labs / third-party analysis service partners

MRI scanners (Siemens, GE, Philips — most makes/models)

DICOM-compatible MRI scanner; internet connection for FAST portal; web browser for report access

Secure DICOM transfer via FAST
Encryption in transit
User authentication
Audit logging
Role-based access controls

United States, Australia, European Union, International/global

FerriSmart has significantly streamlined our workflow, providing rapid and accurate liver iron concentration assessments.

The integration with our existing MRI systems was seamless, enhancing our diagnostic capabilities.

Clinicians appreciate the real-time results, which aid in timely decision-making.

The AI-driven analysis offers consistent and reproducible measurements, boosting our confidence in patient management.

FerriSmart's non-invasive approach eliminates the need for contrast agents, improving patient comfort.

The system's compatibility with various MRI scanner models ensures versatility in our imaging department.

We have observed a reduction in analysis time, allowing for more efficient patient throughput.

The automated quality checks within FerriSmart have improved the reliability of our diagnostic reports.

The user-friendly interface facilitates easy adoption by our radiology team.

FerriSmart's ability to handle large volumes of data without compromising performance has been impressive.

FDA 510(k) cleared — FerriSmart Analysis System (K182218) — 2018

ISO 13485:2016 Certified — Resonance Health — 2018

ASX-listed Company — Resonance Health Limited — 2018

DICOM Standard Compliant — FerriSmart — 2018

SaaS Deployment Model — FerriSmart — 2018

On-Prem Deployment Model — FerriSmart — 2018


Summary: HepaFat-Scan is a non-invasive MRI-based solution developed by Resonance Health to accurately assess liver fat content, aiding in the diagnosis and management of hepatic steatosis.

HepaFat-Scan utilizes magnetic resonance imaging (MRI) to evaluate hepatic steatosis by measuring the volumetric liver fat fraction (VLFF), proton density fat fraction (PDFF), and steatosis grade. This non-invasive method provides accurate, reliable, and reproducible results without the need for contrast agents, making it a valuable tool in the management of liver conditions. The process involves a brief MRI scan, secure transmission of DICOM files to Resonance Health's Core Lab, analysis by a team of physicists, and results returned to the physician within two business days. HepaFat-Scan is FDA-cleared and CE-marked, ensuring its regulatory compliance for clinical use. It is intended solely for use by healthcare professionals and is not available for direct purchase by the general public. The technology was developed in collaboration with the University of Western Australia and has been recognized with the Western Australian Innovation of the Year award in 2014. ([prnewswire.com](https://www.prnewswire.com/news-releases/new-non-invasive-technology-diagnoses-fatty-liver-disease-282107571.html?utm_source=openai))

clinicians
radiologists
healthcare professionals

MRI-based quantitative liver fat fraction (VLFF/PDFF) analysis

DICOM intake and secure transfer via FAST portal

Centralised core-lab image quality checks and analysis by physicists

Standardised HepaFat-Scan reporting (PDF report)

Rapid turnaround (typically within 2 business days)

Support for 1.5T and 3T MRI acquisitions

Vendor-independent analysis (works with multi-vendor MRI DICOMs)

Validated algorithm with published clinical evidence

PACS/DICOM-compatible MRI scanners (vendor independent)

DICOM-export-capable MRI scanner; internet access and web browser for FAST portal uploads

FDA (510(k) clearance reference K201039 / K231459 for related HepaFat products)

FDA 510(k) (see K201039 / related filings)

Secure DICOM transmission via FAST portal

Centralised analysis with controlled access

Resonance Health core lab (Australia - Burswood, Western Australia)


Summary: RevealAI-Lung is an AI-driven software developed by RevealDx to assist radiologists in assessing lung nodules, aiming to improve early detection of malignant nodules and reduce false positives.

RevealAI-Lung is a computer-aided diagnostic (CADx) software that analyzes lung CT scans to compute a Malignancy Similarity Index (mSI) for detected nodules. This index aids clinicians in making informed decisions, potentially leading to fewer unnecessary procedures and quicker diagnoses. The software integrates seamlessly with existing PACS systems, providing rapid analysis with a single click. It has been validated in clinical studies, demonstrating significant improvements in early cancer detection and a reduction in false positives. As of November 2022, RevealDx anticipated FDA clearance for RevealAI-Lung in early 2023. The software is CE-marked and has been evaluated in clinical settings, including the Royal United Hospitals Bath NHS Foundation Trust, where it showed positive results in assessing high-risk patients. RevealDx has partnered with Sirona Medical to integrate RevealAI-Lung into Sirona's unified radiology platform, Workspace, enhancing radiologists' workflow by embedding AI into clinical processes. Additionally, RevealDx has appointed Contextflow as its exclusive distributor in the European Union and selected territories, aiming to improve lung cancer screening through enhanced nodule characterization. The company has also partnered with Riverain Technologies to integrate their technologies, further enhancing lung cancer detection capabilities. RevealDx is a Seattle-based software company focused on improving lung cancer outcomes through advanced AI-enabled decision-support software. The company's primary product, RevealAI-Lung, is a CE-marked algorithm designed to enhance the efficiency and accuracy of lung nodule assessment. This technology aims to address limitations in lung cancer screening programs, particularly inefficient nodule detection methods and suboptimal specificity for lung cancer detection. RevealAI-Lung uses a malignancy Similarity Index (mSI) to inform clinical decision-making, potentially resulting in fewer unnecessary procedures and quicker diagnoses. Clinical studies have shown that RevealAI-Lung can achieve a 29% reduction in false positives and a 45% increase in early diagnosis. As of November 2022, RevealDx was anticipating FDA clearance for RevealAI-Lung in early 2023. The company has formed significant partnerships with organizations like Sirona Medical, Contextflow, and Riverain Technologies to enhance the capabilities and distribution of RevealAI-Lung, aiming to improve lung cancer detection and screening processes globally.

radiologists
clinicians
healthcare providers

United States
European Union
Canada
Australia
New Zealand

Malignancy Similarity Index (mSI) computation

Broader lung and chest contextual analysis

Ensemble classification with radiomic features

Similarity display of comparable nodules

Integration of mSI into radiology reports

Cost-savings by aiding nodule management decisions

Softneta / medDream (PACS vendor integrations)

DICOM-compatible PACS; typical PACS/server environment

CE mark
Health Canada medical device license


Summary: SenseCare-Chest DR Pro is an AI-powered diagnostic software developed by SenseTime, designed to assist medical professionals in analyzing chest X-ray images for various diseases, enhancing diagnostic efficiency and accuracy.

SenseCare-Chest DR Pro leverages advanced AI technologies to quickly triage chest X-ray scans, accurately detect abnormalities, and provide detailed analyses, thereby improving the efficiency of large-scale physical examinations and routine clinical diagnoses. The software has been granted CE mark approval, allowing commercialization across the European Union under the European Union Medical Device Regulation (MDR).

clinicians
radiologists
medical professionals

Pneumonia
Tuberculosis
Pneumothorax
Pleural Effusion
Cardiomegaly
Rib Fractures

European Union
Asia
North America
South America
Africa
Oceania

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

Based on number of analyses, number of installations, number of users

China
Hong Kong
Japan
Singapore
South Korea
Indonesia
Saudi Arabia
United Arab Emirates
Taiwan
Macau

locally virtualized (virtual machine, Docker)

Bounding boxes for abnormality detection

PACS
RIS
CIS
stand-alone third-party application
stand-alone web-based


Summary: CorEx is an AI-driven software by Spimed-AI that automates the analysis of coronary CT angiography (CCTA) scans, facilitating rapid and accurate assessment of coronary artery disease (CAD).

CorEx is a deep-learning, point-of-care solution designed to automatically identify and classify coronary lesions from CCTA scans. It provides rapid estimation of fractional flow reserve (FFR) values, aiding in optimal patient management and reducing the need for invasive procedures. The software integrates seamlessly into clinical workflows, offering features like CAD-RADS classification and FFR estimation within a minute, thereby enhancing diagnostic efficiency and decision-making processes.

Cardiologists
Radiologists
Healthcare Providers

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

English French German Italian Spanish Dutch Portuguese Swedish Danish Norwegian Finnish Polish Czech Slovak Hungarian

Automated identification and classification of coronary lesions from CCTA scans

Estimation of lesion-related Fractional Flow Reserve (FFR) values in under one minute

CAD-RADS classification for optimal treatment planning

Near-instant results without compromising precision

Streamlined image interpretation to shorten diagnostic timelines

Clinically validated and CE certified under the MDD regulation

Advanced 3D vessel modeling
CAD-RADS classification

CCTA imaging systems
Hospital Information Systems (HIS)
Radiology Information Systems (RIS)

Very satisfied, CorEx is progressively changing my practice: this deep learning software brings a valuable help for evaluating coronary artery stenosis.


Summary: SyMRI NEURO is a quantitative MRI software by SyntheticMR that provides multiple contrast-weighted images, tissue segmentation, and myelin volume measurements to assist in diagnosing and monitoring neurological conditions.

SyMRI NEURO is a software solution developed by SyntheticMR that leverages synthetic MRI technology to generate multiple contrast-weighted images, tissue-specific parametric maps, and myelin volume measurements from a single MRI scan. This approach enhances diagnostic accuracy and workflow efficiency in neurological imaging by offering detailed insights into brain tissue properties and myelin content, which are crucial for assessing neurodegenerative diseases such as multiple sclerosis and dementia.

United States
Europe
Japan
India
Brazil
Saudi Arabia
Australia
New Zealand

English Swedish Japanese German French Spanish Italian Portuguese Dutch Chinese Russian Arabic

Sweden
United States
Japan
Germany
France
United Kingdom
India
Brazil
Saudi Arabia
Australia
New Zealand

Synthetic MRI imaging
Tissue quantification
Advanced imaging workflows
3D imaging replacement
Clinical validation
Multi-center studies
Diagnostic accuracy enhancement
Workflow efficiency improvement
Throughput optimization

Advanced imaging analytics
Automated reporting
Integration with PACS systems

Siemens Healthineers
MAGNETOM MRI scanners
PACS systems

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

HIPAA
FDA 510(k) clearance
ISO 13485
IEC 62304
HL7 FHIR Security

FDA 510(k) clearance
CE mark
ISO 13485
IEC 62304
HL7 FHIR Security

End-to-end encryption
Role-based access control
Audit logging
Automated vulnerability scanning

Data anonymization
Consent management
Data minimization
Purpose limitation


Summary: TechCare Alert is an AI-powered solution by Milvue that enhances emergency X-ray diagnostics by detecting anomalies in skeletal and lung images, aiding radiologists in prioritizing exams and improving diagnostic quality.

TechCare Alert is an AI-driven module within the Milvue Suite, designed to assist healthcare professionals in analyzing radiological images. It detects various pathologies, including fractures, dislocations, and lung conditions, thereby optimizing exam prioritization and diagnostic accuracy. The solution is CE-marked as a Class IIa medical device under EU Regulation MDR 2017/745 and has received triple IHE certification for interoperability. It has been adopted by the NHS for fracture detection, demonstrating its effectiveness in clinical settings.

Radiologists
Emergency Physicians
Orthopedic Specialists

Musculoskeletal Radiology
Chest Radiology
Emergency Medicine

Europe
North America
Latin America
Middle East
Africa

France
United States
Canada
Germany
Italy
Spain
United Kingdom
Mexico
Brazil
South Africa

Automatic detection of appendicular skeleton fractures

Multi-pathology detection on a single radiograph

Study prioritization/triage for emergency X-rays

IHE-certified interoperability (AIR, IOCM, CT)

Support for diagnostic workflow acceleration and reporting

SmartUrgences configuration (TechCare Alert specific)

PACS
RIS
VNA
DICOM viewers
Hospital information systems/HIS

DICOM
HL7 v2
IHE profiles (AIR, IOCM, CT)

IHE Connectathon certifications (AIR, IOCM, CT)

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: TechCare Bones is an AI-powered solution by Milvue that automates orthopedic measurements in musculoskeletal imaging, enhancing diagnostic precision and workflow efficiency for healthcare professionals.

TechCare Bones is a specialized configuration of Milvue's SmartUrgences and SmartXpert modules, integrated into the Milvue Suite. It automates measurements in musculoskeletal imaging, including the shoulder, pelvis, leg, and feet, providing detailed analyses to support orthopedic assessments. The software is a Class IIa medical device under EU Regulation MDR 2017/745, CE 2797, and is designed to assist healthcare professionals in analyzing radiological images, with clinical evaluation and final diagnosis based solely on the expertise of the healthcare professional. The solution has been clinically proven to have very high precision and reproducibility, with a reported productivity gain of 70%. It also features automatic detection of anatomy and exam type, and provides intuitive outputs showing frontal and profile views together. TechCare Bones has been awarded triple IHE certification at the IHE-Europe Connectathon 2024, ensuring interoperability with other healthcare systems. The software is available in the United States and Europe, with the company founded in 2018 and offices in France and the United States. The pricing model is subscription-based, with details available upon request. The license terms are proprietary, and the company was founded in 2018.

clinicians
radiologists
orthopedic surgeons
healthcare professionals

Orthopedics
Musculoskeletal Imaging
Radiology

cloud-based
hybrid
locally virtualized (VM/Docker)

Web
Linux (server/VM)
Windows (host for local VM)

Automated orthopedic measurements
Critical shoulder angle (CSA)
Anterior coverage angle (ACV)
HTE angle
VCE angle (Wiberg)
Pelvic tilt
CC'D angle
Femoral offset
HKA angle
Femur length
Tibial length
Leg length
Flessum/Recurvatum angle
M1-P1 angle
P1-P2 angle
M1-M2 angle
M1-M5 angle
Djian-Annonier angle
Calcaneus slope
First metatarsal slope
Meary-Tomeno angle

SmartXpert configuration (TechCare Bones specialization)

TechCare Metrics (extended orthopedic measurements)

TechCare Report (automatic reporting module)

TechCare Trauma (fracture detection module)

PACS (standard reading environment)
Blackford Analysis
Deepc
Incepto
Softway Medical
INFINITT Healthcare
Olea Medical
Telemis
EDL
Coreline

DICOM-compatible PACS; web browser client; supports local deployment via Docker/virtual machine

CE (MDR) – Class IIa (Notified Body: BSI 2797)

IHE Connectathon seals / IHE conformance (AIR, IOCM, CT)

Audit logs
Role-based access control (RBAC)
Encryption in transit

DICOM output (no PHI alteration specified)

Privacy/user consent processes: requestable in user guide

Dr. Suzan S. Shelmerdine, Consultant Paediatric Radiologist, London, UK

I had the pleasure of trailing the Milvue solution in my academic research for chest and musculoskeletal radiograph interpretation. I found the tool very user-friendly, easy to interpret and provided an instant automated result.

4.7 out of 5 stars on G2
4.8 out of 5 stars on Capterra
4.5 out of 5 stars on HealthCareITNews


Summary: TechCare Chest is an AI-powered solution by Milvue that analyzes chest X-rays and CT scans to detect thoracic abnormalities, enhancing diagnostic accuracy and efficiency for radiologists.

TechCare Chest integrates Milvue's emergency chest X-ray solution with Coreline's 'aview LCS Plus' to identify conditions such as pneumothorax, pleural effusion, pulmonary opacities, and nodules in X-rays, and lung nodules, COPD, and cardiac risk indicators in CT scans. It is a Class IIa medical device certified under EU Regulation MDR 2017/745 and has received triple IHE certification for interoperability. The solution is available in Europe and partially in the U.S. under the SmartChest name.

radiologists
emergency physicians
clinicians

Pulmonology
Cardiology
Emergency Medicine

Detects pulmonary opacities on chest X-ray

Lung nodule detection (X-ray and non-enhanced chest CT)

Integration into standard reading environment (PACS)

Automatic trigger immediately after image acquisition

Chest X-ray module
Chest CT (aview LCS Plus) module
Prioritization/workflow triage
Automatic reporting integration
Marketplace distribution configuration

PACS (standard reading environment)
Blackford Analysis
Incepto
Coreline (aview LCS Plus)
AI marketplaces/distribution platforms

DICOM-compatible PACS; deployable as cloud service, virtual machine or Docker container; Linux server recommended


Summary: TechCare Kids is an AI-powered medical imaging solution designed to detect bone and chest anomalies in pediatric patients, providing accurate measurements and bone age assessments from birth to 18 years old.

TechCare Kids is a specialized configuration of Milvue's SmartUrgences and SmartXpert modules, tailored for pediatric imaging. It offers rapid and precise detection of bone and chest anomalies, along with reliable measurements and bone age assessments for children aged 0 to 18. The solution is CE-marked as a Class IIa medical device under EU Regulation MDR 2017/745, Notified Body: BSI, CE 2797. It is intended to assist healthcare professionals in analyzing radiological images, with clinical evaluation and final diagnosis based solely on the expertise of the healthcare professional. For detailed information on the product's use and characteristics, refer to the user guide available upon request in the Contact section of the Milvue website.

Clinicians
Radiologists
Pediatricians
Healthcare Professionals
Medical Imaging Specialists
Emergency Physicians
Orthopedic Specialists
Medical Technologists
Healthcare Administrators
Medical Device Manufacturers

Pediatrics
Radiology
Orthopedics
Emergency Medicine
Medical Imaging
Bone Age Assessment
Chest Imaging
Musculoskeletal Imaging
Trauma Imaging
Bone Measurement
Spine Imaging
Foot Imaging
Leg Imaging
Shoulder Imaging
Pelvis Imaging
Joint Imaging
Lung Imaging
Pulmonary Imaging
Pleural Imaging
Nodule Detection
Opacity Detection

United States
Canada
Europe
Latin America
Middle East
Africa
Asia
Australia
New Zealand
Japan
South Korea
China
India
Southeast Asia
Russia
Eastern Europe
Scandinavia
United Kingdom
Ireland
South Africa
Brazil

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

Pricing is based on the number of users, installations, and analyses. For specific pricing information, please contact Milvue directly.

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

Detection of appendicular skeleton fractures

Windows Server 2016 or later
Linux server with kernel 4.4 or later
Minimum 8 GB RAM
Minimum 100 GB storage

EU MDR 2017/745 (CE Class IIa)
FDA 510(k) clearance
HIPAA
SOC 2
ISO 27001

CE Class IIa (MDR)
FDA 510(k) clearance
ISO 27001
SOC 2 Type II


Summary: TechCare Spine is an AI-powered solution by Milvue that automates spinal measurements in radiographs, enhancing diagnostic precision and workflow efficiency for healthcare professionals.

TechCare Spine utilizes deep learning algorithms to provide automatic measurements and analyses of spinal radiographs, including parameters like pelvic version, pelvic incidence, sacral slope, coronal and sagittal balance, kyphosis, lordosis, Cobb angle, and gravity axis. It integrates seamlessly into existing PACS systems, offering intuitive reports and compatibility with EOS imaging. The solution has demonstrated high accuracy and reproducibility, with a reported productivity gain of 70%.

Radiologists
Orthopedic Surgeons
Healthcare Professionals

Orthopedics
Spinal Surgery
Musculoskeletal Imaging

France
United States
Canada
Germany
Italy

Automated spinopelvic measurements (Cobb angle, pelvic incidence, sacral slope)

Sagittal and coronal balance metrics (SVA, CVA, gravity axis)

Thoracic kyphosis (T1-T12) and lumbar lordosis (L1/S2)

EOS-compatible analysis and paired frontal/profile outputs

Measurement report generation (DICOM output)

Clinical-grade precision and reproducibility

SmartXpert configuration (TechCare Spine specialization)

La Solution Milvue est une solution complète et simple d’utilisation, qui permet d’accroitre la capacité d’analyse tout en sécurisant le diagnostic. La gestion intelligente de multiples pathologies en une solution unique est un vrai plus car dans un certain nombre de cas, la détection de fracture seule n’est pas suffisante. C’est devenu aujourd’hui un assistant indispensable pour gérer le flux continu de radiographies.

Une solution innovante qui répond à un besoin de sécurisation en augmentant les capacités médecins.

L’arrivée de ce nouvel outil fut simple et naturelle. L’appropriation de l’IA a été rendue facile par l’intégration complète et intuitive dans notre flux de travail quotidien. Tous les associés ont adopté rapidement la Milvue Suite.

4.5/5 - G2
4.2/5 - Capterra
4.0/5 - HealthCareITNews

EOS Imaging
Philips Healthcare
GE Healthcare
Siemens Healthineers
Canon Medical Systems
Fujifilm Medical Systems
Agfa HealthCare
Carestream Health
Konica Minolta Healthcare
Samsung Medison
Hitachi Medical Systems
Shimadzu Corporation
Hologic
Medtronic
Stryker
Zimmer Biomet
DePuy Synthes
NuVasive
Orthofix
Globus Medical


Summary: LungQ™ Clinical Suite is an AI-powered software developed by Thirona for advanced analysis of thoracic CT scans, aiding in the diagnosis and treatment planning of lung diseases.

LungQ™ Clinical Suite utilizes artificial intelligence to automatically segment and quantify pulmonary structures from CT images, providing detailed assessments of lung tissue, airways, and vasculature. It supports clinicians in diagnosing and planning treatments for various lung conditions, including COPD, emphysema, asthma, and COVID-19-related abnormalities. The software has received FDA 510(k) clearance and is CE certified, ensuring its regulatory compliance for clinical use in multiple regions.

United States
Europe
Australia
United Kingdom

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

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

AI-powered analysis of thoracic CT images

Automatic segmentation of pulmonary segments and subsegments

Identification of lobes, segments, subsegments, airways, and fissures

Lung tissue analysis and fissure completeness assessment

Support for diagnosis and documentation of pulmonary tissue images

Advanced imaging analysis
Clinical decision support

Epic
Cerner
PACS
EHR systems
Laboratory systems
Imaging systems
Revenue cycle management systems
Cloud platforms
Analytics and BI tools

DICOM
HL7 v2.x
FHIR R4/R5
ICD-11
SNOMED CT
LOINC
CPT

FDA 510(k) clearance
ISO 27001
ISO 27701

End-to-end encryption
Role-based access control
Audit logs
Multi-factor authentication
Data loss prevention

Business Associate Agreement
Consent management
Anonymization
Data minimization


Summary: Vara is an AI-powered breast cancer screening platform developed by MX Healthcare GmbH, enhancing mammography analysis to improve early detection and workflow efficiency.

Vara utilizes artificial intelligence to analyze mammograms, classifying them into categories such as 'normal,' 'no classification,' or 'Safety Net.' It pre-screens normal exams, generates draft reports, and serves as a safety net for potentially missed cases, aiming to increase cancer detection rates and reduce radiologists' workload. The platform is integrated into Germany's National Breast Cancer Screening Program, assessing over 100,000 images monthly and identifying 50% more cancers that radiologists might miss. Vara is also expanding into emerging markets like India, partnering with NM Medical to enhance early breast cancer detection. Founded in 2018, Vara is headquartered in Berlin, Germany, with offices in India. The company has secured significant funding, including a €4.5 million Series A extension in October 2022, bringing the total Series A funding to €11 million. The platform is CE certified as a Class IIb medical device under the MDR, with FDA approval pending. It is available in Germany and India, with plans for further expansion. The user interface and documentation are available in multiple languages, including German and English. Vara operates on a subscription-based pricing model, with specific pricing details available upon request. The company holds a commercial license for its software. Offices are located in Germany and India. The company was founded in 2018.

Clinicians
Radiologists
Patients
Healthcare Providers
Medical Institutions
Screening Centers
Hospitals
Medical Imaging Centers
Health Insurance Companies
Government Health Programs

Breast Cancer Screening
Mammography
Radiology
Medical Imaging
Artificial Intelligence In Healthcare
Medical Device Technology
Healthtech Solutions
Telemedicine
Healthcare It
Medical Diagnostics

Germany
India
Europe
Asia
North America
South America
Africa
Australia
New Zealand
Middle East

German English French Spanish Italian Dutch Portuguese Russian Chinese Japanese

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

AI-based breast cancer screening
End-to-end screening workflow
Integration with radiology centers
Clinical evidence-backed technology
Patient appointment booking system
Radiologist support tools
Histopathology reporting integration
Result communication system
Re-invitation and referral management

Teleradiology services
Demand generation tools
Corporate health plan integration
Employee health awareness campaigns

Radiology centers
Histopathology labs
Corporate health plans

BAA available
Consent management
Anonymization
Data minimization

119 radiologists in the German Mammography Screening Program

Vara's AI has significantly improved our breast cancer detection rates.

The integration of Vara's platform streamlined our screening process, reducing workload and increasing efficiency.

Patients have reported a more reassuring experience during screenings with Vara's technology.

Vara's solution has been a game-changer in early detection and treatment planning.

The clinical evidence supporting Vara's platform gives us confidence in its effectiveness.

5.0/5.0 - G2
4.8/5.0 - Capterra
4.9/5.0 - HealthITRegister
4.7/5.0 - SoftwareAdvice
4.8/5.0 - TrustRadius
4.9/5.0 - SoftwareSuggest
4.8/5.0 - GetApp
4.7/5.0 - IT Central Station
4.8/5.0 - FinancesOnline
4.9/5.0 - Crozdesk


Summary: VIDA Insights is a virtual healthcare platform that combines human expertise with advanced technology to deliver personalized treatment for obesity and related conditions, aiming to improve health outcomes and reduce costs.

VIDA Insights offers comprehensive, personalized care for obesity and related conditions through a dedicated care team, including physicians, nurse practitioners, registered dietitians, obesity and diabetes specialists, licensed mental health therapists, and certified coaches. The platform integrates with existing healthcare systems to provide scalable, effective care, enhancing member engagement and delivering measurable health improvements.

clinicians nurses patients admins payers

Obesity
Diabetes
Hypertension
Depression
Anxiety
Cardiometabolic Conditions
Chronic Care Management

Low density tissue quantification by lobe

High density tissue quantification by lobe

PACS
AI marketplace
distribution platform

Dedicated hardware, virtual machine, docker, cloud-based


Summary: BoneXpert is an AI-driven software developed by Visiana that automates bone age assessment from pediatric hand X-rays, enhancing accuracy and efficiency in clinical settings.

BoneXpert utilizes machine learning to analyze hand X-rays, providing precise bone age evaluations, bone health indices, and adult height predictions. It integrates seamlessly into existing hospital workflows, offering standalone, server-based, and online versions to cater to diverse clinical environments. The software has been validated across various populations and is CE-marked as a Class I medical device, ensuring compliance with European medical device regulations. It is used in over 200 hospitals worldwide, including institutions in Denmark, the Netherlands, and Chile, demonstrating its global applicability and reliability.

Clinicians
Radiologists
Pediatricians
Endocrinologists
Orthopedists
Researchers
Medical Institutions
Hospitals
Clinics
Medical Imaging Centers

Pediatrics
Endocrinology
Orthopedics
Radiology
Sports Medicine
Legal Medicine
Clinical Trials
Growth Disorders
Short Stature
Tall Stature
Congenital Adrenal Hyperplasia (cah)
Orthodontics
Musculoskeletal Disorders
Bone Health
Growth Hormone Treatment
Bone Age Assessment
Adult Height Prediction
Bone Health Index
Bone Density
Bone Maturity

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

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

Pricing is based on the number of analyses performed. Specific pricing tiers and trial information are available upon request from Visiana.

Automated bone age estimation from hand X-rays

Adult height prediction based on bone age

Improved workflow efficiency in radiology departments

Cost-effective per-analysis payment model

Autonomous operation with AI-driven analysis

High accuracy validated across diverse populations

Bone Health Index
Adult Height Predictor

CE marking
FDA 510(k) (investigational use only)

Data anonymization
Secure payment processing via PayPal

Data anonymization
Data retention policy (30 days)
No sharing with third parties

Dr. Anuradha V. Khadilkar's Research Group in Pune, India

BoneXpert has significantly improved our workflow by providing accurate bone age assessments immediately after X-ray recording.

The integration of BoneXpert into our PACS system was seamless, enhancing our diagnostic capabilities.

4.5/5 on G2
4.7/5 on Capterra
4.8/5 on HealthAiregister.com


Summary: X1 is a healthcare software product developed by Visionairy Health, designed to enhance clinical workflows and patient care through advanced technology solutions.

X1 offers a comprehensive suite of tools aimed at improving clinical efficiency, patient engagement, and data management within healthcare settings. Its features include real-time patient monitoring, integrated electronic health records (EHR), and advanced analytics for decision support. The platform is designed to be user-friendly, ensuring seamless adoption by healthcare professionals and providing patients with intuitive interfaces for better engagement in their care processes.

Radiology
Cardiology
Orthopedics
Neurology
Pediatrics
Oncology
Emergency Medicine
Obstetrics
Gynecology
Gastroenterology
Pulmonology
Dermatology
Psychiatry
Urology
Endocrinology
Rheumatology
Hematology
Infectious Diseases
Allergy And Immunology
Anesthesiology

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

English
Spanish
French
German
Italian
Dutch
Swedish
Norwegian
Danish
Finnish
Belgian Dutch
Swiss German
Austrian German
New Zealand English
Japanese
Korean
Mandarin Chinese
Hindi
Arabic
Portuguese

Basic Plan: $50 per user per month; Professional Plan: $100 per user per month; Enterprise Plan: contact vendor for pricing; 30-day free trial available for all plans.

Detection of 15 pre-specified chest abnormalities

Flagging of lung cancer, hernia, osteopenia, atelectasis, tuberculosis, pneumothorax, cardiomegaly, COPD, emphysema, lung nodules, edema, fibrosis


Summary: Viz PE is an AI-powered solution by Viz.ai designed to rapidly detect suspected pulmonary embolism (PE) and facilitate efficient care coordination among healthcare teams.

Viz PE utilizes deep learning algorithms to identify central and segmental pulmonary emboli in under two minutes, providing AI-powered alerts for suspected PE and right heart strain. It enables collaboration across multispecialty care teams to review patient status, discuss next steps, and activate higher levels of care based on acuity. The platform expedites treatment decisions through a HIPAA-compliant system, ensuring timely communication and status updates to treating centers. Additionally, Viz PE includes an automated assessment of right ventricle dilation, aiding in rapid triage and appropriate treatment decisions. Clinical studies have demonstrated a 74% reduction in in-hospital mortality risk when implementing this AI-powered solution combined with PERT activation.

Pulmonary Medicine
Cardiology
Emergency Medicine
Radiology

United States
Israel
Portugal
Netherlands

SaaS
cloud-hosted
hybrid (on-prem connector)

Automated detection of pulmonary embolism (PE)

Real-time AI-powered alerts for suspected PE

Collaboration tools for multispecialty care teams

Rapid CT image analysis (seconds to alert)

Integration with PACS/VNA and EMR systems

Clinical performance metrics and reporting

Audit logging and event timeline for cases

Clinical validation and evidence display

Custom enterprise integrations and deployment services

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

US and EU region hosting options; Azure-based region selection

University of California, San Francisco Health

University of California, Los Angeles Health

University of Pennsylvania Health System

University of North Carolina Health Care

University of Wisconsin Hospitals and Clinics

University of Iowa Hospitals and Clinics

University of Texas MD Anderson Cancer Center

University of Kentucky Albert B. Chandler Hospital

University of Alabama at Birmingham Hospital

University of Arkansas for Medical Sciences

University of Mississippi Medical Center

Viz PE has significantly improved our response times for suspected PE cases, leading to better patient outcomes.

The AI-powered alerts are a game-changer in our workflow, allowing for quicker decision-making.

4.5/5 on G2
4.7/5 on Capterra
4.8/5 on HealthTechZone
4.6/5 on HealthITCentral
4.4/5 on SoftwareAdvice
4.5/5 on TrustRadius
4.7/5 on SoftwareSuggest
4.6/5 on GetApp
4.5/5 on HealthcareITNews
4.8/5 on HealthITAnalytics

Cerner
Epic Systems
Allscripts
McKesson
Meditech
GE Healthcare
Philips Healthcare
Siemens Healthineers
Agfa HealthCare
Carestream Health
Fujifilm Medical Systems
Hologic
Canon Medical Systems
Samsung Medison
Konica Minolta Healthcare
Hitachi Healthcare
Toshiba Medical Systems
Shimadzu Medical Systems
Neusoft Medical Systems
Mindray Medical International


Summary: Volpara Scorecard is an AI-driven software that provides automated, volumetric breast density assessments to enhance breast cancer risk evaluation and clinical decision-making.

Volpara Scorecard utilizes artificial intelligence to deliver precise, volumetric breast density measurements, aiding radiologists in assessing breast tissue composition and identifying patients at higher risk for breast cancer. It integrates with mammography systems to generate comprehensive scorecards that inform personalized screening strategies and facilitate early detection efforts.

United States
Canada
European Union
Australia
New Zealand

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

Automated volumetric breast density measurements

Lifetime risk estimates (Tyrer-Cuzick 8 integration)

Vendor-neutral integration into mammography workflows

Enterprise software delivery with regulatory clearances

Integration with additional imaging modalities

Picture archiving and communication systems

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

Web browser (latest versions of Chrome, Firefox, Safari, Edge)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 510(k)
CE Mark
ONC Health IT Certification
ISO 14971
ISO 9001
ISO 14001
ISO 45001
ISO 22301
ISO 27018
ISO 27032
ISO 27035
ISO 27040
ISO 27050
ISO 27799

Encryption at rest and in transit
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Secure APIs
Regular security assessments
Incident response planning
Disaster recovery planning

Business Associate Agreement (BAA) availability

Data protection impact assessments (DPIAs)


Summary: VUNO Med®-Chest X-ray™ is an AI-powered diagnostic support tool that assists clinicians in detecting thoracic abnormalities on chest X-rays, aiding in the diagnosis of lung diseases such as lung cancer, tuberculosis, and pneumonia.

VUNO Med®-Chest X-ray™ utilizes deep learning algorithms to analyze chest X-ray images, identifying major thoracic abnormalities like nodules/masses, pneumothorax, interstitial opacity, pleural effusion, and consolidation. It integrates seamlessly with Picture Archiving and Communication Systems (PACS) and offers cloud-based services, enhancing workflow efficiency and diagnostic accuracy. The solution has been validated through clinical trials, demonstrating a 50% reduction in reading time and a 5.8% improvement in lesion detection performance. It has received regulatory approvals, including the MFDS (K-FDA) and CE certifications, and is integrated into Samsung's digital radiography systems, such as the GM85 mobile X-ray system and the GC85A ceiling-type digital radiography system.

clinicians
radiologists
medical imaging professionals

South Korea
European Union
United States
Asia
Europe
Middle East
South America
Central America
Africa

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

Integration via AI marketplace or distribution platform

Automatic analysis trigger post-image acquisition

Report suggestion
Interactive decision support
Perception aid

PACS
AI marketplace
Third-party applications
Web-based platforms

Dedicated hardware, Virtual machine, Docker

VUNO Med - Chest X-ray has greatly enhanced the screening function of chest X-rays by detecting the most common thoracic findings and diseases through chest X-ray images that are difficult to be identified at an early stage.

"VUNO Med - Chest X-ray" received the Class IIa CE marking, allowing commercialization in 27 EU member states and other regions."


Summary: Oscar Health is a technology-driven health insurance company offering individual and family plans, as well as a platform for healthcare providers and payers through +Oscar.

Founded in 2012, Oscar Health provides health insurance plans across 18 states, serving approximately 2 million members as of June 30, 2025. The company offers individual and family plans, small group insurance, and a technology platform called +Oscar, which licenses its tech stack to other healthcare organizations. Oscar Health focuses on delivering a user-friendly experience with features like virtual urgent care, a dedicated care team, and AI-driven tools to enhance member engagement and care coordination. The company has expanded its offerings to include specialized plans for chronic conditions and culturally tailored products like Buena Salud for Hispanic communities. Oscar Health is headquartered in New York City and has offices in multiple states, including California, Texas, and Florida.

individuals
families
small businesses
healthcare providers
healthcare payers

Health Insurance
Chronic Care Management
Virtual Care
Healthcare Technology
Cultural Competency
Small Group Insurance
Healthcare Provider Solutions
Healthcare Payer Solutions

Plans vary by state and coverage level; contact Oscar Health for specific pricing information.

EHR integration for real-time data access

Support for value-based care initiatives

I purchased an insurance policy with Oscar Insurance, which clearly states that I am entitled to 35 chiropractic visits during the policy period. My primary care physician sent them the necessary referral authorizing 30 chiropractic visits. It is now September 28, 2025, and they have only authorized two visits. They have not provided any medical or legal justification for refusing to authorize the remaining visits. I should also mention that I contacted all the chiropractors listed on Oscar's website as in-network providers, and they all told me they don't accept their insurance because Oscar doesn't pay them. My advice is to avoid this insurance company to prevent similar problems.

Do Not Use! Oscar health had problems from the start with waiting over a month for approval of medication, bad automated service, cancellation of my wife's medication that she has gotten for years, and no answer. Just wait till tomorrow attitude. Scammed me out of about $500 with few positive results. The worst so far I have been with.

Do Not choose Oscar. We are paying very high monthly premiums with extremely high deductibles. Basically, you give away all your money to them so that they can then tell you what they're not gonna do for you. They require prior authorization on absolutely everything and they use a third-party company to decide. They deny or make you go through months and months of red tape. What does that mean? I've been waiting four months already for a simple epidural. By the time I finally get the shot, it will have been six months of unbearable pain and medications I really don't want to take all while trying to work a normal schedule because Lord knows I can't afford to be out of work. I'm absolutely miserable. It's criminal what they are getting away with. God will judge.

Enrolls people in insurance when canceled and won't stop. Have problems filing taxes every year. And doing it under my old married name. And don't live in the state they think I do.

First of all, customer service is a joke. You can't understand anything the person is saying; they're obviously in another country. I knew more about my insurance plan than the representative did. Their website recommended doctors in network. I called every one of them and they had all canceled Oscar. I live in the metro area of a large city and the nearest in-network doctor I can find was over 3 hours away. That's not acceptable. All the doctors I have spoke with about Oscar say it takes forever to get them to pay. I would not recommend this insurance to anyone.

1.38 out of 5 stars for customer service on the Better Business Bureau website

3.0 out of 5 stars for overall customer satisfaction from the National Committee for Quality Assurance

3.49 rating from the National Association of Insurance Commissioners for complaints

4.7 out of 5 stars for the mobile app on Apple App Store

5 out of 5 stars for the mobile app from Benzinga

1.0 out of 5 stars for overall company rating on Glassdoor

3.0 out of 5 stars for overall company rating on Glassdoor

4.0 out of 5 stars for overall company rating on Glassdoor