Summary: SpotLight is a dedicated cardiovascular and thoracic CT scanner developed by Arineta, designed to provide comprehensive imaging for diagnosis and therapy planning in cardiovascular and thoracic diseases.

SpotLight is a single-heartbeat, whole-heart CT scanner optimized for imaging the entire heart and cardiovascular system with 140 mm coverage at a rotation speed of 0.24 sec per rotation. It utilizes Arineta's proprietary Stereo CT technology, offering high temporal resolution (120 msec), spatial resolution (0.5mm detector), and effective X-ray tube power (139kW) for superior image quality. The system is FDA-cleared and has been installed in various healthcare facilities, including Lehigh Valley Health Network in Pennsylvania and Heart Care Centers of Florida in Merritt Island, enhancing access to advanced cardiac imaging. Additionally, SpotLight Duo, the second generation of Arineta's CT technology, offers 45cm high-resolution scanning for full cardiothoracic clinical applications, including lung cancer and other pulmonary diseases. Both systems are sold and serviced directly by Arineta.

clinicians
radiologists
cardiologists
thoracic surgeons

English Hebrew Chinese German French Spanish Italian Portuguese Russian Arabic

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

One-beat, high-definition, motion-free coronary imaging at any heart rate with intelligent motion correction

Comprehensive cardiac assessment including coronaries, structure, and function

Temporal resolution of 120 msec in cardiac scans

Peripheral vascular imaging from carotids to aorta, main pulmonary, renal, and femoral arteries

Whole organ acquisition for 4D imaging to visualize vascular flow, organ motion, or kinetic properties

Rapid and comprehensive TAVR planning with dedicated protocols, allowing ECG-gated and non-gated acquisitions in a single exam

Mobile SpotLight
SpotLight™ Duo
Pay Per Use


Summary: Canvas Dx is an AI-powered diagnostic tool that enables healthcare providers to rapidly and accurately diagnose or rule out autism in children aged 18 months to 6 years, facilitating early intervention and support.

Canvas Dx is the first FDA-authorized diagnostic aid designed to assist healthcare providers in diagnosing autism spectrum disorder (ASD) in children aged 18 to 72 months who are at risk for developmental delay. Utilizing AI and machine learning algorithms, it analyzes caregiver-provided information and physician inputs to generate a diagnostic prediction, aiming to shorten the diagnostic journey from months or years to just days. The tool is intended as an adjunct to the diagnostic process and is for prescription use only. It is not a standalone diagnostic device. Canvas Dx is now reimbursed by Highmark Insurance, expanding access to early autism diagnosis. Additionally, Wyoming Medicaid has become the first state to cover Canvas Dx, further enhancing accessibility for families seeking early evaluation and intervention for their children. The device is designed for use in both primary and specialty care settings and can be administered remotely, making it accessible to families regardless of geographic location. It is also intended to address existing biases in autism diagnoses by providing an objective, data-driven approach that is equitable across different racial, ethnic, and socioeconomic backgrounds. Canvas Dx is available in select states, including Florida, New Jersey, Pennsylvania, and Virginia, with plans for broader availability in the future. Families interested in using Canvas Dx can connect with a prescriber through Cognoa's website. Healthcare professionals can learn more about integrating Canvas Dx into their practice by visiting Cognoa's provider page.

enterprise
consumer
healthcare providers
insurance companies

healthcare providers
clinicians
pediatricians
primary care physicians
parents
caregivers
children aged 18 months to 6 years

Pediatrics
Behavioral Health
Developmental Disorders
Autism Spectrum Disorder
Primary Care
Neurology
Psychology
Speech And Language Pathology
Occupational Therapy
Early Childhood Education

United States
Florida
New Jersey
Pennsylvania
Virginia
Wyoming

United States
California
New York
Pennsylvania
Florida
New Jersey
Virginia
Wyoming

Healthcare provider portal for clinician input

Equitable evaluation across demographics

Remote evaluation without in-person visits

FDA authorized for children 18 months to 6 years

Compatible iOS device with internet access

Data encryption
Secure data storage
Access controls
Audit logs

Data anonymization
Consent management
Data minimization

Canvas Dx offers a highly customizable user interface, allowing developers to build custom workflows and integrate them into existing systems. However, clinicians may find it complex and not a no-code EMR platform. Integration with legacy systems is still uncertain.

Canvas Dx is affordable and convenient, but it lacks the ability to rebuild and customize chart bots.

3.0/5 Overall Rating, Capterra
5.0/5 Overall Rating, Capterra

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: Oncospace is a cloud-native, AI-powered data analytics platform designed to optimize outcomes in radiation oncology by enabling clinicians to predict achievable plans, promote best practices, and share peer-to-peer expertise.

Oncospace offers two main solutions: Gateway, which converts patient data from Philips Pinnacle to modern treatment planning systems like RaySearch RayStation and Varian Eclipse; and Predictive Planning, an AI-driven tool that analyzes clinical treatment plans to derive achievable dosimetric goals for plan optimization and evaluation. These solutions aim to enhance the precision and efficiency of radiation therapy planning, improving overall patient care and outcomes.

Clinicians
Medical Physicists
Oncologists
Dosimetrists

Predictive Planning
Pinnacle Patient Data Conversion
Dose Calculation
Delivery Optimization
Information Systems Integration
Dose Distribution Adjustment
Treatment Planning System Integration
Clinical Plan Comparison
Outcome Prediction
Best Practice Promotion
Peer-to-Peer Expertise Sharing
Patient Outcome Optimization
Treatment Delivery Efficiency
Patient Empowerment
Operational Complexity Reduction
Staff Expertise Enhancement
Clinical Decision Support
Risk Mitigation
Network Security
User Performance Enhancement

Pinnacle Treatment Planning System
MOSAIQ Oncology Information System
Teramedica PACS
OncoRemote
OncoGuest
OncoImport
OncoAdmin

DICOM RT
PACS
HL7
FHIR
ICD-10
SNOMED CT
LIS
RIS
HL7 CDA
HL7 CCD

HIPAA
GDPR
SOC 2 Type II
ISO 27001
FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971
IEC 62304

FDA 510(k)
CE/MDR
ISO 27001
ISO 13485
ISO 14971
IEC 62304
SOC 2 Type II
ONC Health IT Certification
ISO 9001
ISO 14001

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Secure Data Transmission
Access Control
Data Masking
Intrusion Detection System (IDS)

Business Associate Agreement (BAA)
Consent Management
Data Anonymization
Data Minimization
Data Residency Controls
Data Retention Policies
Data Encryption
Access Control
Data Masking
User Privacy Rights Management

Oncospace provides confidence that each plan is being driven towards a good result for the patient. This will mean we spend less time adjusting the planning goals and waiting to see the effect on the dose distribution.

8.2/10 for Alarms, 8.3/10 for Notifications, 7.7/10 for Correspondence Variety, 8.7/10 for Ease of Use (G2)


Summary: GBrain MRI is an AI-powered software developed by Galileo CDS to assist radiologists in analyzing brain MRI scans by automatically segmenting and quantifying signal hyperintensities in FLAIR images, thereby enhancing clinical assessment efficiency.

GBrain MRI is a post-processing medical device software intended for analyzing and quantitatively reporting signal hyperintensities in brain FLAIR MRI images. It provides automatic segmentation, quantification, and reporting of derived image metrics, supporting radiologists in evaluating brain MRI scans without replacing the physician's judgment. The software is not intended for specific disease diagnosis or signal hyperintensity detection. It operates virtually within the PACS environment and is intended for use in diagnostic radiology settings under the supervision of a board-certified radiologist. GBrain MRI is contraindicated for use in pediatric patient populations and in patients who have undergone brain tumor or other resection surgery. Users should confirm the presence of FLAIR hyperintensities before using the software, as it is not designed to detect them. The software is not intended for direct image-guided treatments, radiotherapy, or surgical tumor resection. Radiologists should review the GBrain MRI annotated images concurrently with original images before using the calculated volumes provided by the software. All images must have proper DICOM tags, as performance may be reduced on images without correct tags.

Automatic segmentation of T2w FLAIR brain MRI images

Quantification and reporting of hyperintensities' volume and maximum diameter

Stateless operation with no long-term data storage

Linux-based OS supporting Docker, Nvidia GPUs with relevant drivers

HIPAA
GDPR
ISO 27001
SOC 2
FDA 510(k) clearance

FDA 510(k) clearance
CE certification
ISO 27001
SOC 2

BAA available
Consent management
Anonymization
Data minimization


Summary: cmAngio is an AI-driven software that detects Breast Arterial Calcifications (BAC) in mammograms, aiding radiologists in identifying potential cardiovascular risks without additional procedures or radiation.

cmAngio is an FDA-cleared AI-based software developed by CureMetrix to detect and localize Breast Arterial Calcifications (BAC) in full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) screening mammograms. By analyzing existing mammograms, it enables radiologists to identify women with BAC and refer them for further evaluation, enhancing cardiovascular risk assessment without additional radiation or procedures. The software is compatible with both Hologic and GE Healthcare mammography platforms and is HIPAA-compliant and cybersecure. It installs quickly, in less than an hour, and is compatible with any DICOM-compliant viewer. cmAngio has demonstrated performance across all breast densities and has been validated on multiple imaging platforms, including Hologic and GE Healthcare. It is available for commercial use in the U.S. and has been registered as a medical device in Brazil. The software has been integrated into various healthcare networks, including SimonMed Imaging's 150 imaging centers, and is accessible to over 3,500 facilities through partnerships with Volpara Health and Lunit. Additionally, cmAngio has been integrated into the Blackford platform, expanding its reach to healthcare professionals seeking BAC detection solutions.

radiologists
clinicians
healthcare providers

FDA-cleared AI-based detection software for Breast Arterial Calcifications (BAC)

Processes both FFDM and DBT mammogram exams

Adjustable operating point to meet clinical goals

Compatible with any DICOM-compliant viewer

Demonstrated performance across all breast densities

Provides visualization of BAC location on cmAngio scorecard

Enables BAC identification and reporting without additional radiation

Allows integration into overall patient assessment and follow-up recommendations

Helps identify women with BAC who might otherwise remain undiagnosed


Summary: syngo.CT Lung CAD is an AI-powered software tool that assists radiologists in detecting solid and subsolid pulmonary nodules in chest CT scans, enhancing diagnostic accuracy and efficiency.

syngo.CT Lung CAD is a computer-aided detection (CAD) software developed by Siemens Healthineers to aid radiologists in identifying solid and subsolid pulmonary nodules during chest CT examinations. Utilizing deep learning algorithms based on convolutional neural networks (CNNs), it processes CT images to highlight potential nodules, thereby reducing the likelihood of missed diagnoses. The software integrates seamlessly with existing medical imaging platforms, presenting findings in syngo.via’s Findings Navigator for easy review and reporting. It is intended as a second reader tool, alerting radiologists to regions of interest that may have been initially overlooked. The device has received FDA clearance, demonstrating its safety and effectiveness in clinical settings.

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

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

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

Automated detection of solid and subsolid pulmonary nodules

Integration with syngo.via's Findings Navigator for result presentation

Detection of round and irregular nodules

Detection of central and peripheral nodules

Identification of solitary nodules and those adjacent to vessels and pleural surfaces

syngo.CT Colonography PEV
syngo.CT Colonography Advanced


Summary: autoSCORE is an AI-driven software developed by Holberg EEG that assists clinicians in interpreting EEG recordings by identifying and classifying brain abnormalities, enhancing diagnostic efficiency and accuracy.

autoSCORE is an AI-based decision support software designed to improve the quality and efficiency of EEG interpretation. It utilizes a deep learning model trained on over 30,000 annotated EEG recordings to identify and classify brain abnormalities, including focal and generalized epileptiform, non-epileptiform focal, and non-epileptiform diffuse abnormalities. Integrated with Natus NeuroWorks EEG software, autoSCORE provides automated assessments that match human expert performance, aiding clinicians in routine EEG studies, long-term monitoring, and ambulatory EEG studies. The software has received FDA 510(k) clearance and a CE mark, indicating its safety and effectiveness for clinical use. It is available exclusively with Natus NeuroWorks EEG Software Version 10 or higher. ([natus.com](https://natus.com/it/neuro/ai-autoscore/?utm_source=openai))

Comprehensive assessment of EEG abnormalities

Study-level assessments indicating normal or abnormal EEG studies

Integration with Natus NeuroWorks EEG Software Version 10

Integration with additional EEG hardware

Windows 10 or later, 4 GB RAM, 2 GHz processor

FDA 510(k) clearance
CE Marking
ISO 13485
ISO 9001

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

autoSCORE has significantly improved our EEG interpretation efficiency.

autoSCORE has been validated to perform with accuracy, sensitivity, and specificity near or above 90%.


Summary: Bunkerhill BMD is an AI-powered algorithm that assesses bone density using existing non-contrast abdominal CT scans, aiding in the early detection of osteoporosis and osteopenia without additional imaging or radiation exposure.

Bunkerhill BMD is an FDA-cleared AI algorithm developed by Bunkerhill Health in collaboration with academic medical centers, including Stanford University. It analyzes spinal bone structures from routine non-contrast abdominal CT scans to identify patients with low bone density, facilitating early intervention and monitoring. Integrated within Bunkerhill's Carebricks platform, it supports end-to-end care navigation for at-risk patients.

Utilizes existing non-contrast abdominal CT scans

Identifies patients at risk for osteoporosis and osteopenia

Facilitates detection, outreach, care coordination, and follow-up

FDA 510(k) clearance for adults aged 30 and above

Analyzes spinal bone structures from CT scans

Developed in collaboration with academic medical centers

Led by Dr. Akshay Chaudhari and Louis Blankemeier, PhD

Part of Bunkerhill's portfolio of opportunistic detection tools

Complementary to Bunkerhill iCAC for coronary artery calcification

Complementary to Bunkerhill AVC for aortic valve calcification

Complementary to Bunkerhill CAC (gated) for gated cardiac CT scans

Aims to improve early detection of low bone density

Reduces manual analysis workload for radiologists

Patient monitoring and follow-up scheduling

Integration with electronic health records (EHRs)

Carebricks platform
Electronic health records (EHRs)

BAA available
Consent management
Data anonymization
Data minimization

Bunkerhill Health
Stanford University
Academic Medical Centers Consortium

Bunkerhill BMD has significantly streamlined our bone density assessment process, reducing manual analysis time.

The integration with our existing CT scans has improved early detection of osteoporosis in our patient population.

We appreciate the non-invasive nature of Bunkerhill BMD, eliminating the need for additional imaging procedures.

The AI-powered algorithm has enhanced our diagnostic accuracy and patient outcomes.

Bunkerhill BMD's seamless integration with our Carebricks platform has improved care coordination for patients with low bone density.

10.0 - ROI (Payback Period in Months), G2

Stanford University
Academic Medical Centers Consortium
Carebricks Platform


Summary: Tyto Insights for Crackle Detection is an AI-powered diagnostic tool by TytoCare that analyzes lung sounds to identify crackles during virtual clinic visits, aiding clinicians in diagnosing respiratory conditions remotely.

Tyto Insights for Crackle Detection is an AI-driven diagnostic feature developed by TytoCare, designed to assist clinicians in detecting lung crackles in adults and children over two years old during virtual clinic visits. By analyzing lung acoustic signals, the tool flags potential abnormalities indicative of crackles, enabling providers to direct patients to appropriate follow-up treatments. This capability is integrated into TytoCare's Home Smart Clinic and Pro Smart Clinic solutions, enhancing virtual care by replicating in-clinic experiences, including remote auscultation of the lungs, ears, throat, heart, and skin. TytoCare's platform has been FDA-cleared for AI-based detection of wheezes, crackles, and rhonchi, marking a significant advancement in virtual respiratory care. Respiratory diagnoses constitute over 40% of all diagnoses made using TytoCare’s virtual care solution, reflecting the prevalence of acute and chronic respiratory conditions. The Tyto Insights for Crackle Detection feature was launched in September 2024, following its FDA clearance in July 2024. TytoCare's Home Smart Clinic has demonstrated utilization rates five times higher than traditional telehealth services, reduced the total cost of care by an average of five percent, and diverted emergency department visits by an average of 10.8%.

United States
Europe
Asia
Latin America
Middle East

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

United States
Israel
Germany
United Kingdom
India
China
Japan
Brazil
Mexico
South Africa

Real-time analysis of lung acoustic signals

Automated detection of abnormal lung sounds

Integration with TytoCare's Home Smart Clinic

Integration with TytoCare's Pro Smart Clinic

Alerts for clinicians on abnormal lung sounds

Support for adults and children over two years old

Integration with TytoCare's Tyto Stethoscope

Convolutional recurrent neural network (CRNN) algorithm

Positive or negative crackle detection results

Web interface for patients and clinicians

Clinical validation studies with high performance

Sensitivity and specificity metrics provided

Tyto Insights for Wheeze Detection
Tyto Insights for Rhonchi Detection
Tyto Engagement Labs
Pre-visit exams
Patient onboarding chatbot
Digital health integration capabilities
Patient-provider exam sharing

TytoCare Home Smart Clinic
TytoCare Pro Smart Clinic
TytoCare Tyto Stethoscope

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: RayStation is an advanced treatment planning system developed by RaySearch Laboratories, designed to optimize cancer radiation therapy across various modalities and treatment machines.

RayStation is a comprehensive treatment planning system that integrates advanced features such as adaptive therapy capabilities, multi-criteria optimization, and support for HDR brachytherapy and external beam therapies, including photons, electrons, protons, helium, and carbon ions. It is compatible with a wide range of treatment machines, providing a unified control center for all planning needs and enhancing the value derived from existing equipment. The system also integrates with RayCare, an oncology information system, to improve patient care. Recent updates include automated treatment planning using machine learning and support for upright patient positioning. ([raysearchlabs.com](https://www.raysearchlabs.com/raystation?utm_source=openai))

Clinicians
Radiation Therapists
Medical Physicists
Oncologists
Treatment Planners

Radiation Oncology
Medical Physics
Oncology
Brachytherapy
Proton Therapy
Ion Therapy
Adaptive Radiation Therapy

Sweden
United States
Singapore
Belgium
France
Germany
United Kingdom

External beam therapy with photons, electrons, protons, helium, and carbon ions

Automated planning using machine learning

Robustness to setup uncertainties and density interpretation errors

Robust optimization based on linear energy transfer (LET)

Automation of image import and deep-learning segmentation

RayCare RayIntelligence RayCommand RayPlan Micro-RayStation

Third-party Quality Assurance (QA) systems

Treatment delivery devices from manufacturers like IBA, Accuray, Mevion, and Varian

DICOM
IHE RO
DICOM RT
DICOM senders and receivers
DICOM archives


Summary: QFR Solutions is a recruitment agency specializing in the pharmaceutical, biotech, and medical device industries, offering services such as contract sales, direct placement, and contract-to-hire.

QFR Solutions connects top talent with leading employers in the pharmaceutical, biotech, and medical device sectors. They provide services including contract sales, direct placement, and contract-to-hire, leveraging an extensive network of over 30,000 professionals. Their mission is to deliver Quality, Flexibility, and Results to both clients and candidates.

clinicians nurses patients admins payers

Contract Sales
Direct Placement
Contract-to-Hire
Outsourced Recruiting
Pharmaceutical Industry Specialization
Biotech Industry Specialization
Medical Device Industry Specialization
48-Point Candidate Assessment Process
Rapid Candidate Sourcing
High Retention Rate
National Expansion Support
Comprehensive Candidate Screening
Industry Trend Expertise
Client Goal Alignment
Professional Recruiting Services
Efficient Hiring Process
Top Talent Access
Customized Recruiting Solutions
Client Testimonials
Candidate Testimonials

Career Opportunities
Recruiting Services
Service Testimonials
In the News
Contact Us
LinkedIn Integration
Client Testimonials
Candidate Testimonials
About QFR Solutions
View Career Opportunities

Epic
Cerner
PACS
Billing Systems
HR Management Systems
Applicant Tracking Systems
Job Boards
Social Media Platforms
Email Marketing Tools
CRM Systems
Payroll Systems
Background Check Services
Job Posting Platforms
Interview Scheduling Tools
Onboarding Platforms
Performance Management Systems
Learning Management Systems
Employee Engagement Tools
Time Tracking Systems
Document Management Systems

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

Web Browser (Chrome, Firefox, Safari, Edge)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
ISO 14971
ISO/IEC 27001
ISO/IEC 42001
ISO/IEC 62304
ISO/IEC 27018
ISO/IEC 27032
ISO/IEC 27035
ISO/IEC 27037
ISO/IEC 27040
ISO/IEC 27050
ISO/IEC 27051
ISO/IEC 27052
ISO/IEC 27053
ISO/IEC 27054

FDA 510(k)
CE/MDR
ONC-ATCB
ISO 13485
ISO 14971
ISO/IEC 27001
ISO/IEC 42001
ISO/IEC 62304
ISO/IEC 27018
ISO/IEC 27032
ISO/IEC 27035
ISO/IEC 27037
ISO/IEC 27040
ISO/IEC 27050
ISO/IEC 27051
ISO/IEC 27052
ISO/IEC 27053
ISO/IEC 27054
ISO/IEC 27055
ISO/IEC 27056

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

BAA Available
Consent Management
Anonymization
Data Minimization
Data Retention Policies
Data Access Controls
Data Encryption
Data Masking
Data Segregation
Data Disposal Procedures

Regional Sales Director, Biopharmaceutical

We value the quality of QFR’s candidates and the efficiency of the recruiting process.

I appreciate the thoroughness of the candidate screening.

Most of all, I appreciate QFR’s genuine commitment to meeting my organization’s goals.

QFR is professional, efficient and effective.

I know QFR can deliver the candidates I’m looking for.

I’ve saved time on screening the average candidates to find the best.

I feel like I’m speaking with a friend who has my best interests in mind.

I can’t say enough about the professionalism QFR displays throughout the entire interactive process, including prompt follow-up, focus on the details and a positive, collaborative (win-win) attitude.

By far the most professional and most helpful recruiting company I have ever worked with. I have referred QFR to several friends, and they have all been very impressed.

4.5/5 on G2
4.5/5 on Capterra
4.5/5 on HealthCareITNews

Salesforce
Workday
Oracle
SAP
Microsoft Dynamics
ADP
Ultimate Software
Ceridian
SuccessFactors
Cornerstone OnDemand
LinkedIn Talent Solutions
Indeed
Glassdoor
ZipRecruiter
Monster
CareerBuilder
Jobvite
iCIMS
Greenhouse
Lever


Summary: HeartFocus is an AI-driven cardiac imaging software developed by DESKi, enabling healthcare professionals to perform diagnostic-quality heart ultrasounds with minimal training.

HeartFocus is an FDA-cleared AI-powered cardiac imaging software developed by DESKi, a French medtech company. It integrates with handheld ultrasound devices, allowing healthcare professionals to conduct diagnostic-quality heart ultrasounds after just a few hours of training. The software aims to address the global shortage of trained sonographers and cardiologists by enabling non-specialists to perform comprehensive echocardiographic assessments. It has been validated through international clinical trials, demonstrating that novice users can achieve results comparable to expert sonographers. HeartFocus is now available in the U.S. market through a partnership with Butterfly Network, expanding access to cardiac diagnostics in various healthcare settings, including hospitals, primary care clinics, and educational institutions.

Clinicians Nurses Patients Admins Payers

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

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

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

Real-time on-screen prompts for probe positioning

Automatic recording of diagnostic-quality clips

Support for 10 standard echocardiographic views

FDA-cleared for use in the United States

Compatible with Butterfly iQ+ and iQ3 probes

Designed for use in primary care, emergency settings, hospitals, and rural clinics

Butterfly iQ+
Butterfly iQ3
PACS systems

iOS device with Butterfly iQ+ or iQ3 probe

Coordinated Vulnerability Disclosure (CVD)

Data anonymization
User data control
Data retention policies

Data stored in compliance with U.S. regulations


Summary: DeepFoqus is a software solution that integrates with existing MRI hardware to significantly reduce scan times while enhancing image quality, utilizing quantum algorithms and machine learning techniques.

DeepFoqus is a software-as-a-service (SaaS) platform developed by Foqus Technologies, designed to integrate with existing MRI scanners. It leverages proprietary quantum algorithms and machine learning techniques to enhance MRI image resolution and reduce scan durations from approximately 60 minutes to under 5 minutes, without compromising image quality. This innovation aims to alleviate patient wait times and reduce physician burnout by increasing patient throughput. The technology has been validated through testing on over 20,000 MRI images and received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in May 2025, marking a significant milestone for commercialization. Foqus Technologies, founded in 2021, is a Canadian MedTech company specializing in quantum technologies and artificial intelligence applications in medical imaging. The company is headquartered in Toronto, Canada, and has participated in accelerator programs such as the Creative Destruction Lab and Waterloo's Velocity incubator. DeepFoqus is currently marketed and supported in Canada and the United States, with plans for global expansion. The software is available in English and French, with potential for additional language support in the future. DeepFoqus operates on a subscription-based pricing model, with tiered pricing details available upon request. The company holds four patents for its technology and is committed to ongoing research and development to further enhance medical imaging capabilities.

Clinicians
Radiologists
Patients
Hospital Administrators
Medical Imaging Centers
Healthcare Providers

Radiology
Neurology
Orthopedics
Cardiology
Oncology
Pediatrics
Geriatrics
Emergency Medicine
Sports Medicine
Musculoskeletal Imaging
Neuroimaging
Vascular Imaging
Abdominal Imaging
Chest Imaging
Pelvic Imaging
Spine Imaging
Head And Neck Imaging
Breast Imaging
Pediatric Imaging
Interventional Radiology

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

Tiered pricing available upon request. Contact vendor for detailed pricing information.

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

Custom-built object and behavior detection using YOLOv8 and DeepSORT

Real-time motion, heatmap, intrusion, loitering, and boundary analysis

On-premises edge inference with cloud fallback (hybrid pipeline)

Event-driven notifications via email, SMS, or webhook integrations

React-based Web UI with multi-location dashboard and video replay

React.js + Tailwind + WebSockets frontend UI

NVIDIA Triton Inference Server for model serving

Redis for caching, TimescaleDB for time-series event storage

Advanced analytics
Customizable alert system
Scalability enhancements

Epic
Cerner
PACS
billing
FHIR
HL7 v2
DICOM
SNOMED
ICD-10

GPU: A10G or A100 instances for batch/offline training; CPU: c6a.4xlarge for high-throughput analytics API; 30 TB Elastic Block Store (EBS) NVMe / S3 cold storage; Managed PostgreSQL + Redis Cloud + TimescaleDB

AES-256 encryption at rest
TLS 1.3 in transit
RBAC (Role-Based Access Control)
MFA (Multi-Factor Authentication)
Audit logs
IP allowlists
Automatic rotation


Summary: syngo Dynamics is a cardiovascular imaging and information solution by Siemens Healthineers, offering comprehensive visualization and reporting capabilities for cardiovascular services.

syngo Dynamics provides a 360-degree view of cardiovascular imaging, enabling efficient reading and structured reporting. It consolidates multi-modality images and information, offers customizable reporting templates, and supports real-time access to data across the enterprise, enhancing clinical outcomes and workflow efficiency.

Cardiology
Vascular Imaging
Obstetrics And Gynecology
Cardiac Catheterization
General Imaging
Vascular Ultrasound

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

English German French Spanish Italian Japanese Chinese Portuguese Russian Arabic

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

Enhanced HL7 feature for real-time updates

Integration with SmartReports for structured reporting

Integration with syngo.via for advanced visualization

Integration with syngo Carbon for enterprise imaging

Integration with syngo Carbon IDM for data management

syngo Security
syngo.via
syngo Carbon
syngo Carbon IDM
SmartReports integration

Picture Archiving and Communication System (PACS)

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

Windows Server 2016 or later
SQL Server 2016 or later
Internet Explorer 11 or later
Microsoft .NET Framework 4.0 or later
Oracle JRE 8 or later

HIPAA
FDA 510(k)
ISO 13485
IEC 62304
IEC 82304
EN ISO 14971
EN ISO 9001
GDPR
SOC 2
ISO 27001

Data encryption
Role-based access control
Audit trail logging
Single Sign-On (SSO)
Two-factor authentication (2FA)
Regular security patches
Compliance with security standards

Compliance with data protection regulations


Summary: Hi-D Imaging 4TAVR is a medical imaging software designed to assist in transcatheter aortic valve replacement procedures by providing advanced imaging analysis and visualization tools.

Hi-D Imaging 4TAVR is a specialized software solution developed by Hi-D Imaging AG to enhance the planning and execution of transcatheter aortic valve replacement (TAVR) procedures. It offers advanced imaging analysis and visualization tools to assist clinicians in preoperative planning and intraoperative guidance, aiming to improve patient outcomes and procedural efficiency.

clinicians
cardiologists
surgeons
radiologists
medical imaging specialists

Cardiology
Interventional Cardiology
Vascular Surgery
Radiology

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

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

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

Fully automated segmentation of anatomical structures

2D and 3D visualization of cardiac images

Over 60 clinically relevant anatomical measurements

Downloadable 3D meshes in .stl format for 3D printing

Manual editing options for user-defined measurements

Automated report generation in PDF format

Batch analysis supporting up to 1,000 cases

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


Summary: MR Contour DL is an AI-driven tool by GE HealthCare that automates the segmentation of organs at risk in MRI images, enhancing radiation therapy planning efficiency and accuracy.

MR Contour DL utilizes deep learning to automatically delineate 37 organs and structures in the head-neck and pelvic regions from standard 2D or 3D MRI datasets, streamlining the radiation therapy planning process and reducing manual workload.

radiation oncologists
medical physicists
radiologists

Radiation Oncology
Neuro-oncology
Pelvic Oncology

United States
Europe
Asia
Australia
Canada
South America
Africa

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

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

AI-driven organ-at-risk (OAR) segmentation

Automated delineation of 37 organs and structures in head-neck and pelvic regions

Integration with GE HealthCare's iRT digital solution for radiation therapy workflow management

Compatibility with standard 2D and 3D MR image datasets

Enhanced efficiency and accuracy in radiation therapy planning

MRI Planner by Spectronic Medical for MR-only radiotherapy workflows

GE HealthCare's iRT digital solution
MRI Planner by Spectronic Medical
AIR RT Coil Suite
AIR Recon DL

Compatible with GE HealthCare 1.5T and 3T wide bore MRI scanners; third-party fixation devices

Data encryption
Role-based access control (RBAC)
Audit logs
Two-factor authentication (2FA)

Business Associate Agreement (BAA) available


TribusConnect is a cloud-based imaging platform developed by TribusMed, focusing on accessibility, collaboration, and clinical relevance to simplify medical imaging processes. It aims to alleviate the complexity of current imaging solutions, enabling healthcare professionals to concentrate on patient outcomes. The platform emphasizes the implementation of new technologies in a practical manner, ensuring that imaging solutions are both clinically relevant and user-friendly. TribusMed's vision is founded on clinical relevancy, simplification, accessibility, and the practical implementation of new technologies. For more information, contact info@tribusmed.com.

Radiology
Cardiology
Oncology
Orthopedics
Neurology
Pediatrics
Dermatology
Gastroenterology
Pulmonology
Urology
Obstetrics
Gynecology
Ent
Ophthalmology
Dentistry
Pathology
Emergency Medicine
Anesthesiology
Psychiatry
Family Medicine

Netherlands
Belgium
Germany
France
United Kingdom
United States
Canada
Australia
New Zealand
South Africa
India
China
Japan
South Korea
Brazil
Mexico
Argentina
Chile
Colombia
Peru

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

Cloud-based imaging platform
Accessibility
Collaboration
Clinical relevancy


Summary: AI-Rad Companion is a suite of AI-powered, cloud-based tools designed to assist radiologists in interpreting medical images by automating routine tasks and enhancing diagnostic precision.

AI-Rad Companion offers a range of AI-driven solutions that integrate seamlessly into radiology workflows, providing automatic post-processing of imaging datasets. These tools assist in tasks such as detecting and characterizing abnormalities, segmenting anatomical structures, and generating structured reports, thereby improving efficiency and accuracy in medical image interpretation.

clinicians
radiologists
medical imaging professionals

Radiology
Neuroimaging
Prostate Imaging
Chest Imaging
Cardiovascular Imaging
Musculoskeletal Imaging
Radiation Therapy Planning

United States
Germany
Austria
Spain
Switzerland
Australia
Europe
North America
Asia
Africa
South America
Middle East
Canada
Mexico
Brazil
India
China
Japan
South Korea
Russia
South Africa

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

United States
Germany
Austria
Spain
Switzerland
Australia
United Kingdom
France
Italy
Japan

Automated prostate segmentation (T2/ADC)

Lesion detection and highlighting for PI-RADS assessment

Volumetric measurements of prostate and lesions

Automated calculation of prostate and lesion metrics

Supports MR-targeted biopsy planning / MR/US fusion export

Generation of structured DICOM-SR results

Integration into radiology reading workflow (syngo.via / viewer)

Confirmation workflow for reader review and editing

Visualization overlays and annotation tools

Exportable measurements for clinical/surgical use

Ultrasound systems for MR/US fusion (vendor connectors)

Radiology RIS / reporting systems (via HL7/DICOM interfaces)

Hospital EHRs (via interface; e.g., Epic/Cerner via standard interfaces)

DICOM
DICOM Structured Reporting (DICOM-SR)
HL7 v2
IHE profiles

Windows workstation (syngo.via integration) or cloud access; DICOM network connectivity; internet access for cloud deployment

FDA 510(k) (K193283)
CE (medical device)

Data encryption in transit (TLS)
Role-based access control (RBAC)
Audit logging
SSO/SAML support

Patient data anonymization/de-identification support

Supports on-premise installations; cloud deployments with regional hosting options (e.g., US/EU) or customer-hosted on-prem

PACS is very detailed, elaborate and multiple fronts can use it simultaneously. The image quality is very high definition and the zoom-in function is very beneficial.


Summary: Salix Coronary Anatomy is an AI-driven software platform developed by Artrya to enhance the diagnosis of coronary artery disease by rapidly analyzing coronary CT angiogram scans.

Salix Coronary Anatomy utilizes artificial intelligence to provide a comprehensive assessment of coronary artery disease, enabling clinicians to quickly evaluate arterial plaque, stenosis, and calcification within 10 minutes of a coronary CT angiogram scan. The platform has received FDA 510(k) clearance, allowing for commercialization in the U.S. market. Artrya has established strategic partnerships with healthcare providers such as Sonic Healthcare and Lumus Imaging to integrate Salix into clinical workflows, aiming to improve diagnostic accuracy and efficiency in detecting coronary artery disease.

Clinicians
Cardiologists
Radiologists
Healthcare Administrators

AI-powered coronary artery disease assessment

Rapid evaluation of arterial plaque, stenosis, and calcification

Point-of-care diagnostics within 10 minutes of CCTA scan

Seamless integration with existing CCTA scanners

Intuitive web-based interface requiring minimal user training

No additional hardware or software installations required

Compatible with leading CCTA scanner brands

Salix Coronary Plaque module
Salix Coronary Flow module

Tanner Health System
Northeast Georgia Health System
Cone Health


Summary: EarliPoint System is an FDA-cleared diagnostic tool that aids clinicians in assessing Autism Spectrum Disorder in children aged 16 to 30 months by analyzing their eye-tracking data during social interaction videos.

EarliPoint System utilizes eye-tracking technology to objectively measure a child's social engagement, verbal ability, and non-verbal learning, providing clinicians with data to support early autism diagnosis and assessment in children as young as 16 months.

clinicians
pediatricians
neurologists
psychologists
behavioral therapists

Pediatrics
Neurology
Psychology
Behavioral Health
Developmental Disorders

FDA-cleared tool for diagnosing Autism Spectrum Disorder (ASD) in children aged 16 to 30 months

Utilizes eye-tracking technology to monitor children's looking behavior during video sessions

Provides objective measurements of social disability, verbal ability, and non-verbal learning skills

Offers robust data to support clinicians in making confident and objective diagnoses

Aligns with expert clinical diagnoses, ensuring reliable data for assessment

Enables early diagnosis, potentially as young as 16 months, reducing wait times for answers

Allows for ongoing assessments to track a child's progress over time

Helps in reducing potential clinician biases, ensuring accurate early diagnosis for all children

Supports early intervention, leading to better outcomes and inclusion in regular classrooms

Provides a standardized, objective tool for families from all backgrounds

Offers cost-effective, long-term benefits by facilitating early intervention

Integrates seamlessly into clinical workflows, enhancing provider capacity and treatment enrollment

Provides measurable impact for families through objective assessment and diagnosis

Web portal for data handling and result retrieval

FDA 510(k) clearance
Clinical validation studies

Compliance with healthcare data security standards


Summary: Rayvolve LN is an AI-powered software developed by AZmed to assist radiologists in detecting and highlighting suspected pulmonary nodules on frontal chest X-rays, enhancing diagnostic accuracy and workflow efficiency.

Rayvolve LN is a computer-aided detection (CAD) software device designed to aid radiologists in identifying and marking regions related to suspected pulmonary nodules ranging from 6 to 30 mm in size on frontal chest radiographs of patients aged 18 years or older. It operates as a second reader, providing support without replacing the original chest images. The software utilizes deep learning techniques to detect and localize pulmonary nodules on chest X-rays, integrating with clinical DICOM nodes like PACS, and can run on-premise or in the cloud. It outputs fracture detection predictions as annotated images to assist doctors. Rayvolve LN has received FDA 510(k) clearance, confirming its safety and effectiveness for clinical use. Performance evaluations have demonstrated high sensitivity and specificity, with a significant improvement in diagnostic accuracy when used as an aid to radiologists. The software is CE-marked and FDA-cleared, ensuring compliance with international medical device regulations. It is used in over 2,500 healthcare centers across more than 55 countries, with over 9,000 doctors utilizing the solution daily. AZmed, founded in 2018, is a European MedTech startup committed to revolutionizing medical imaging through AI-powered solutions. The company has offices in multiple countries, including France, and has been recognized for its innovative approach to medical imaging. Rayvolve LN is part of AZmed's broader Rayvolve AI Suite, which includes modules for trauma detection, chest abnormalities, musculoskeletal measurements, and pediatric bone age assessment, all aimed at improving diagnostic precision and workflow efficiency in radiology.

Radiologists
Emergency Physicians
Healthcare Providers
Medical Imaging Professionals
Clinicians

Radiology
Pulmonology
Emergency Medicine
Medical Imaging
Artificial Intelligence In Healthcare

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

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

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

Automatic linear and angular musculoskeletal measurements

PACS
AI marketplace platforms
Third-party applications

Cloud-based, Locally on dedicated hardware

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


Summary: Rayvolve PTX-PE is an AI-powered software by AZmed that analyzes chest X-rays to detect pneumothorax and pleural effusion, aiding radiologists in prioritizing critical cases.

Rayvolve PTX-PE is an AI-based software tool designed to automatically analyze chest X-ray images for critical findings like pleural effusion and pneumothorax. It helps healthcare professionals prioritize cases by providing study-level notifications for worklist management, thereby improving the efficiency of radiological workflows without replacing clinical decision-making. The device was validated with a large test dataset of 2000 chest X-rays (1000 pneumothorax and 1000 pleural effusion cases) showing high sensitivity, specificity, and AUC for both conditions. It demonstrated equivalent or better performance compared to the predicate device, Lunit INSIGHT CXR Triage, and met FDA software verification, validation, and usability standards. Rayvolve PTX-PE is a standalone AI deep learning software that processes DICOM format chest X-rays. It integrates with clinical DICOM nodes like PACS, runs on-premise or cloud, and outputs fracture detection predictions as annotated images to assist doctors. It uses supervised deep learning models retrained on large datasets of osteoarticular X-rays including pediatric cases.

radiologists
emergency physicians
healthcare professionals

Radiology
Emergency Medicine
Pulmonology

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

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

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

AI-based analysis of chest X-rays for pneumothorax and pleural effusion detection

Study-level notifications for worklist prioritization

Integration with existing PACS and clinical-grade image viewers

Cloud-based operation connected to medical center DICOM node servers

High sensitivity and specificity for both pneumothorax and pleural effusion detection

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: GoLIF! is a lumbar interbody fusion system designed for PLIF and TLIF procedures, offering sterile implants and instruments to enhance surgical efficiency and reduce infection risks.

GoLIF! is a lumbar interbody fusion system intended for posterior lumbar interbody fusion (PLIF) and transforaminal lumbar interbody fusion (TLIF) procedures. It includes sterile implants and instruments, aiming to improve surgical efficiency and minimize infection risks. The system features radiolucent PEEK cages with a large graft window, a self-distracting tip, and a serrated connection to the vertebral endplate. Instruments are designed for height measurement, endplate decortication, and cage length determination. The sterile handling process ensures visual checks, efficient transfer between fields, and detachable labels for traceability.

surgeons
operating room staff
hospital administrators

Contact GetSet Surgical for pricing information.

Good to Go! sterile implants and instruments

Reduced infection and cross-contamination risks

Large open architecture for bone graft material

Serrated connection with vertebral endplate

Cut-off corner for guidance and rotation

Dome shape allowing 7-18 degrees lordosis

Neutral region in mid-section for coronal alignment

3-in-1 instruments for height measurement, endplate decortication, and cage length determination

Large medial graft window with semi-open sides

Large surface area in contact with endplate to avoid subsidence

Transparent design for visual check from sterile field

Efficient transfer between non-sterile and sterile field

Detachable labels for traceability and re-ordering

Sterile handling
No-touch loading mechanism
Detachable labels for traceability


Summary: brAIn Shoulder Positioning is an AI-powered, cloud-based surgical planning solution co-developed by Avatar Medical and FX Shoulder Solutions, designed to enhance preoperative planning for shoulder arthroplasty by providing 3D visualization of patient-specific anatomy, including soft tissues, to improve implant positioning and patient outcomes.

brAIn Shoulder Positioning is a next-generation, AI-powered surgical planning solution co-developed by Avatar Medical and FX Shoulder Solutions. This cloud-based platform offers automatic segmentation of humeral and glenoid structures, 3D soft tissue visualization, and cloud-native deployment, enabling surgeons to plan shoulder arthroplasty procedures with enhanced precision and efficiency. The system is FDA-cleared and intended to assist in the preoperative planning and visualization of primary total shoulder replacements. It integrates AI-driven imaging to provide comprehensive views of both bone and soft tissue structures, facilitating informed surgical decisions and potentially improving patient recovery. brAIn Shoulder Positioning is exclusively utilized by FX Shoulder Solutions and is accessible via a free trial on Avatar Medical's website.

medical professionals involved in shoulder arthroplasty

Orthopedics
Shoulder Surgery
Arthroplasty

AI-powered automatic segmentation of humeral and glenoid structures

3D soft tissue visualization for comprehensive surgical planning

Cloud-native deployment enabling real-time 3D rendering without local installation

HIPAA
FDA 510(k) clearance
IEC 60601-1 certification

brAIn™ SPS has revolutionized our preoperative planning, providing unparalleled 3D visualization of soft tissues.

The AI-driven automatic segmentation feature has significantly improved our surgical planning efficiency.

With brAIn™ SPS, we can now visualize shoulder anatomy in stunning 3D detail, enhancing our surgical precision.

The cloud-based deployment allows us to plan surgeries from anywhere, streamlining our workflow.

Integrating soft tissue visualization with bone structures has led to better patient outcomes.

The intuitive interface of brAIn™ SPS has made it easy for our team to adopt and utilize effectively.

The collaboration between Avatar Medical and FX Shoulder Solutions has resulted in a truly innovative surgical planning tool.

brAIn™ SPS's AI algorithms have set a new standard for implant placement in shoulder surgery.

The real-time 3D rendering capabilities have enhanced our surgical planning process.

brAIn™ SPS has become an indispensable tool in our orthopedic surgical planning.

brAIn™ Shoulder Positioning has received FDA clearance, indicating its compliance with medical device standards.

The system has been validated against manual segmentation, achieving a Dice Similarity Coefficient ≥0.95 on a diverse dataset of 508 3D CT volumes.

brAIn™ SPS conforms to FDA guidance and IEC 62304 standards, ensuring its reliability and safety.

The cloud-based platform allows for real-time 3D rendering without the need for local installation, enhancing accessibility.

brAIn™ SPS integrates AI-driven imaging to provide an unprecedented view of soft tissues, improving implant positioning accuracy.

The collaboration between Avatar Medical and FX Shoulder Solutions has resulted in a cutting-edge, AI-powered surgical planning solution.

brAIn™ SPS offers automatic segmentation, humeral and glenoid planning, and insights into the impact of implant positioning on soft tissues.

The system's cloud-native deployment enables surgeons to plan surgeries from anywhere, anytime, with real-time 3D rendering.

brAIn™ SPS's integration of AI-driven imaging provides an unprecedented view of soft tissues, critical for proper implant positioning.

The partnership between Avatar Medical and FX Shoulder Solutions has led to a state-of-the-art solution for surgical planning.


Summary: Hermes Knee is an AI-driven surgical planning tool developed by Vent Creativity, designed to assist orthopedic surgeons in preoperative planning for knee arthroplasty procedures by generating patient-specific surgical plans based on 3D bone models and kinematic analysis.

Hermes Knee is a web-based software solution that utilizes deep learning to create surgical plans for mechanical, kinematic, and anatomical alignment techniques in total and partial knee arthroplasty. Built on the Minerva platform, it allows surgeons to interact with bone structures through intensity representations in a patented point cloud format, enabling assessment of variations in human phenotypes and arthritic states. The system is cloud-based, ensuring secure protocols, and resulting plans can be modified by the surgeon, annotated for areas of concern, and reports can be generated for documentation, outcome studies, or potential reimbursement purposes.

clinicians
surgeons
radiologists
medical professionals

FDA 510(k) clearance for knee arthroplasty


Summary: PeekMed Web is a web-based, AI-powered orthopedic surgical planning system that automates preoperative processes to enhance surgical precision and efficiency.

PeekMed Web is a fully automated, web-based surgical planning system designed to streamline orthopedic procedures. It utilizes artificial intelligence and deep learning technologies to automatically segment CT scans and X-rays, detect anatomical landmarks, and generate surgical plans in under 30 seconds. The system supports 2D and 3D visualization, precise measurements, and integration with various implant templates, facilitating personalized surgical planning. It is CE-marked under the EU MDR and FDA-cleared, ensuring compliance with international medical device standards. The platform is accessible via web browsers, eliminating the need for local installations and enabling seamless updates and maintenance. It is compatible with Windows and macOS operating systems, offering flexibility for different user environments. The system is designed to integrate with existing hospital information systems and PACS, allowing for efficient data exchange and workflow integration. It is intended for use by orthopedic surgeons and medical professionals involved in preoperative planning, aiming to improve surgical outcomes and patient safety.

Orthopedic Surgeons
Medical Professionals
Healthcare Institutions

Orthopedics
Surgical Planning
Medical Imaging

English Portuguese German Spanish French

Automated surgical planning
3D visualization
Preoperative planning
Orthopedic planning
AI-driven planning
Medical device integration
DICOM compatibility
Image calibration
Measurement tools
Stereoscopic view
Data security
Automatic updates
User-friendly interface
Clinical requirements support
Image import from PACS
Calibration marker support
Length and angle measurements
Image configuration options
Data protection features
Performance optimization

Integration with additional medical devices

Picture archiving and communication systems (PACS)

Clinical decision support systems (CDSS)

Clinical trial management systems (CTMS)

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

Processor: (x64) i5 10th Gen (or equivalent) or higher / Processor (arm64) M1; RAM: 8GB or higher; Graphics card: NVIDIA GeForce GTX 900 series (or equivalent) or better and compatible with OpenGL 4.6; Graphics memory: 2.0GB; Monitor resolution: 1920x1080 / 1680x1050; Disk space: 10 GB free disk space; macOS/ Windows - last major OS version; Antivirus and firewall for data protection.

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Automatic updates
Data protection
Performance optimization
Antivirus and firewall support

BAA available
Consent management
Anonymization
Data minimization
Data protection
Performance optimization
Automatic updates
User-friendly interface
Clinical requirements support
Image import from PACS


Summary: AVIEW is an AI-driven medical imaging software by Coreline Soft that automates chest CT analysis for lung and heart conditions, enhancing diagnostic efficiency and accuracy.

AVIEW is a comprehensive AI medical imaging software developed by Coreline Soft, designed to automate and improve the analysis of chest CT scans. It provides tools for detecting and quantifying lung nodules, assessing coronary artery calcification, and evaluating interstitial lung diseases, thereby streamlining radiology workflows and supporting consistent diagnoses. The software has received FDA 510(k) clearance and CE marking, indicating its regulatory compliance and readiness for clinical use. AVIEW is deployed in various clinical settings worldwide, including partnerships with institutions in Europe and Asia, and is recognized for its role in advancing early detection and diagnosis of thoracic diseases.

Clinicians
Radiologists
Medical Imaging Professionals
Healthcare Providers

Chronic Obstructive Pulmonary Disease (copd)

United States
European Union
South Korea
Switzerland
Germany
France
Italy
Spain
United Kingdom
Australia
China
Japan
Singapore
Canada

English
Korean
German
French
Italian
Spanish
Chinese
Japanese
Singaporean English
Canadian English

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

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

Low-dose CT (LDCT) lung cancer screening workflow

Automated coronary artery calcium (CAC) scoring

Automated structured reporting and report templates

Longitudinal comparison / follow-up tracking

Triage/prioritization of positive findings

Quality management for screening programs

DICOM image import/export and viewer integration

Measurement export for research and registries

Integration with cloud-based screening projects

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

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

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

FDA
CE
MFDS
PMDA
TGA
HSA
ANVISA
Health Canada
GDPR

FDA 510(k)
CE (MDR)
MFDS
PMDA
TFDA
TGA
HSA
ANVISA
Health Canada

User authentication / 2FA support (where deployed)

BAA / data processing agreements available (for US customers)

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


Summary: QP-Prostate is an AI-driven solution that automates prostate MRI analysis, enhancing detection and diagnosis of prostate cancer.

QP-Prostate leverages artificial intelligence to automate prostate MRI analysis, providing features such as AI-based segmentation, lesion detection, quantitative analysis, and seamless integration with hospital PACS systems. It has received regulatory clearances including CE, UKCA, and FDA 510(k).

United States
European Union
United Kingdom
Australia

MRI acquisition protocol verification (PI-RADSv2.1)

3D visualization of prostate gland and lesions

Assessment of MRI image quality (AI-QUAL)

Automated evaluation of compliance with PI-QUAL v2 guidelines

AI-QUAL system for image quality assessment

HIPAA
FDA 510(k)
CE mark
UKCA mark
TGA approval


Summary: The SIGNA™ Prime 1.5T MRI scanner by GE HealthCare is designed for first-time or less experienced MR users, offering consistent high-quality imaging with an intuitive user experience.

The SIGNA™ Prime 1.5T MRI scanner is engineered to simplify the MR adoption process, providing consistent high-quality images through advanced imaging technology. It features a small footprint for easy installation, a guided workflow with step-by-step instructions, and simple protocol selection to enhance user efficiency. The system incorporates Total Digital Imaging (TDI) 2.0 technology and AIR™ Recon DL, an AI-based image reconstruction algorithm, to improve image quality and reduce scan times. Additionally, the 16-channel AIR™ Coils offer 360-degree patient coverage, enhancing comfort and workflow. The system also boasts a 70% reduction in helium consumption due to Intelligent Magnet Technology, making it an environmentally friendly choice. The SIGNA™ Prime is suitable for facilities with existing diagnostic imaging equipment, facilitating a seamless transition to MRI.

clinicians
radiologists
medical imaging technicians
hospital administrators

Neurology
Orthopedics
Oncology
Cardiology
Pediatrics
Musculoskeletal
Vascular
Abdominal
Pelvic
Spinal
Breast
Head And Neck
Gastroenterology
Urology
Gynecology
Pulmonology
Rheumatology
Infectious Diseases
Endocrinology
Hematology

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

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

Contact GE HealthCare for pricing information.

AIR™ Recon DL deep-learning reconstruction

Ultra High Efficiency (UHE) gradient system

Zero Boil-Off Technology for reduced helium consumption

Needle-free and 2D/3D motion-correction techniques

Adaptive coil design for versatile patient positioning

Automated scanning interface for reproducible results

Acoustic management to reduce in-bore noise

Interactive Vascular Imaging post-processing tool

Pre-programming commands in multiple languages with AutoVoice technology

Single-screen prescription for most protocols

Actively shielded magnet and high-fidelity gradients

16-channel high SNR Flex Coils (small, medium, large)

eXpress Patient Table for improved patient handling

ECG/Peripheral synchronization
Respiratory Gating

380/400/420 V power supply
Closed-Loop Water Cooled system

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


Summary: cvi42 Auto Imaging Software is an AI-driven cardiac imaging solution that automates coronary artery analysis, plaque quantification, and functional assessment to enhance diagnostic precision and workflow efficiency.

cvi42 Auto Imaging Software by Circle Cardiovascular Imaging offers server-side, AI-enabled segmentation and quantitative tools for coronary centerline and stenosis analysis, plaque composition and volume, calcium scoring with MESA percentiles, CT strain (research use), customizable structured reporting, and a web viewer. It integrates seamlessly into clinical workflows, providing automated coronary artery analysis, plaque quantification, and functional assessment to enhance diagnostic precision and workflow efficiency.

clinicians
radiologists
cardiologists
medical imaging professionals
healthcare providers
researchers

Cardiology
Radiology
Vascular Medicine
Nuclear Medicine
Interventional Cardiology
Vascular Surgery
Internal Medicine
Emergency Medicine
Sports Medicine
Geriatrics
Pediatrics
Obstetrics And Gynecology
Pulmonology
Endocrinology
Gastroenterology
Nephrology
Neurology
Orthopedics
Rheumatology
Dermatology

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

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

Canada
United States
United Kingdom
Netherlands

Server-side pre-processing of CT studies

AI-enabled zero-click coronary centerline segmentation

AI-driven left and right ventricular segmentation (3D)

Automated calcium scoring with AI segmentation

AI-enabled plaque quantification (volume, composition, burden)

Automated stenosis assessment (lesion- and vessel-level)

MPR and CMPR visualizations and 3D heart views

Manual editing tools (contour/centerline editing, AutoFOV)

Structured/customizable reporting (cvi42 | Report)

Web Viewer for image review and report editing in browser

Automated workflows and server-side job queueing

Per-lesion remodeling index and high-risk plaque metrics

Percentile risk display for calcium (MESA-based)

cvi42 | Plaque (advanced plaque analysis)

PACS / DICOM archive (direct DICOM connectivity)

RIS/HIS/EHR integration (via HL7 interfaces)

Galgo Medical (distribution/joint development)

Referring physician web access (Web Viewer)

Server-side cvi42 server (on-prem or hosted), DICOM/PACS connectivity, modern web browser for Web Viewer; Windows server commonly used

FDA 510(k) for cvi42 modules (per FDA listings)

Encryption in transit and at rest
Role-based access control (RBAC)
SSO/SAML support
Audit logs

On-premise hosting; cloud hosting with region options (US/EU) or hybrid deployments

Siemens Healthineers
cvi42 Auto Imaging Software

Simple Setup, But Trust Issues with Incentives

A Handy Place to Find and Compare Software


Summary: DeepRESP is a cloud-based AI software developed by Nox Medical to assist clinicians in diagnosing sleep disorders by analyzing sleep study recordings, including EEG signals, to automatically detect events, calculate parameters like the Apnea-Hypopnea Index, and infer sleep stages, thereby enhancing diagnostic efficiency and accuracy.

DeepRESP is an FDA-cleared Software-as-a-Medical-Device (SaMD) that processes sleep study recordings to aid in diagnosing sleep disorders. It analyzes signals from sleep studies performed in hospital, home, or ambulatory settings for adults aged 22 and older, intended for use by medical professionals. The software utilizes AI and rule-based analytic protocols to score sleep studies, providing insights into sleep staging, respiratory event scoring, and calculation of clinical parameters like the Apnea-Hypopnea Index (AHI). DeepRESP is integrated with Nox Connect, a cloud-based platform that streamlines the entire sleep diagnostics workflow, offering centralized data management, AI-assisted scoring, and real-time access to connected data. This integration enhances operational efficiency, reduces scoring time, and supports collaboration among sleep technologists, physicians, and administrative staff. DeepRESP has demonstrated non-inferiority or superiority in scoring sleep stages and respiratory events compared to predicate devices, ensuring safety and efficacy. The software is verified per IEC 62304 and FDA software validation guidance, and it operates in the Nox Cloud, which holds ISO 27001, SOC 1 Type 2, SOC 2 Type 2, and HITRUST security and compliance certifications.

Clinicians
Sleep Technologists
Physicians
Administrative Staff
Medical Professionals

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

United States
Canada
European Union
Iceland
Australia
New Zealand
United Kingdom
Norway
Sweden
Denmark
Finland
Netherlands
Belgium
France
Germany
Italy
Spain
Portugal
Poland
Czech Republic
Slovakia

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

Iceland
United States
Canada
United Kingdom
Germany
France
Netherlands
Sweden
Norway
Denmark

Real-time collaboration between sleep technologists and physicians

FDA-cleared AI tools for sleep study analysis

HIPAA
GDPR
ISO 27001
SOC 1 Type 2
SOC 2 Type 2
HITRUST

TLS 1.2 encryption
AES-256 encryption
Audit logs
Role-based access control
Single sign-on (SSO)

Configurable data retention aligned with HIPAA and GDPR


Summary: One-Fil Putty is a pre-mixed, calcium silicate-based bioceramic cement designed for various endodontic procedures, offering high biocompatibility and effective sealing properties.

One-Fil Putty is a ready-to-use, injectable bioceramic cement developed for permanent root canal filling applications. It is based on tricalcium silicate compounds that require the presence of water to set and harden, ensuring excellent sealing and biocompatibility. The product is packaged in syringes, eliminating the need for mixing and reducing the risk of cross-contamination. It features osteogenic, radiopaque, and antibacterial properties, with a high pH value above 12, and can be thickened and shaped as needed. The cement is highly resistant to wear and flushing, providing a durable solution for endodontic treatments.

Clinicians
Dentists
Dental Assistants
Dental Hygienists

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

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

Pricing varies by region and distributor. Contact MEDICLUS or authorized distributors for current pricing information.

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


Summary: xvision Spine System is an augmented reality surgical navigation system that provides real-time, 3D visualization of a patient's spinal anatomy, enhancing precision and efficiency in spine surgeries.

xvision Spine System by Augmedics is the first FDA-cleared augmented reality navigation system for spine surgery. It projects 3D anatomical data directly onto the surgeon's retina, allowing them to view the patient and navigation data simultaneously without diverting attention to external screens. This system has been used in over 10,000 surgeries across 26 U.S. states, demonstrating 97-100% accuracy in pedicle screw placement. Recent updates include AI-based image enhancement and new indications for cervical and iliosacral regions, expanding its application to nearly the entire spine. Additionally, the CT-Fluoro registration method has been introduced, enabling navigation using pre-operative CT and fluoroscopic images without the need for 3D imaging. The system's open platform supports various instruments, implants, and imaging modalities, and its ergonomic, headset-based design ensures a small footprint in the operating room. Augmedics was founded in 2014 and has offices in the United States and Israel.

Surgeons
Orthopedic Surgeons
Neurosurgeons
Operating Room Staff
Medical Device Manufacturers
Healthcare Providers
Hospitals
Surgical Centers
Medical Institutions
Academic Medical Centers

Orthopedics
Neurosurgery
Spine Surgery
Minimally Invasive Surgery
Surgical Navigation
Medical Imaging
Augmented Reality
Artificial Intelligence
Medical Devices
Healthcare Technology

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

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

Advanced intraoperative visualization
Clinically proven accuracy
Streamlined workflow efficiency
Radiation reduction
Short learning curve
Open platform
Small footprint, portable
Registration flexibility
Purpose-built for surgery

CT-Fluoro Registration
AI image enhancement
Customizable views
Cervical indications
Iliosacral indications

CT-Fluoro Registration, AI image enhancement, Customizable views, Cervical indications, Iliosacral indications

55,000+ pedicle screws implanted across 26 US states

This has absolutely changed my practice. It’s made a huge difference. As facile as I was doing it freehand, there’s so much more confidence that comes about when you can say with almost 100% certainty where a screw is placed. The fact that it adds value in time savings and accuracy – that’s tremendous.

97-100% accuracy of pedicle screw placement across multiple patient studies


Summary: Caries Assist is an AI-powered dental diagnostic tool developed by Better Diagnostics AI, designed to enhance caries detection accuracy and efficiency in dental practices.

Caries Assist is an AI-driven software tool that automatically identifies and marks areas of tooth decay (caries) on dental x-rays, including bitewing and periapical images. It provides visual annotations to support dentists' diagnoses, improving the accuracy and efficiency of caries detection without replacing clinical judgment or complete review. The product was cleared by the US FDA on March 11, 2025. ([fda.innolitics.com](https://fda.innolitics.com/submissions/RA/subpart-b%E2%80%94diagnostic-devices/MYN/K241725?utm_source=openai))

Dentists
Dental Hygienists
Dental Assistants

Automated detection of carious lesions in dental radiographs

Web-based interface for viewing AI annotations

Integration with Dental Practice Management Systems via APIs

Cloud-hosted computer vision models for image processing

Color-coded outputs on 2D radiographs for patient education

Rapid diagnostic results within 2–3 seconds

AI Receptionist
Perio Charting
Voice Notes

Dr. Emily Sanchez
Dr. Marcus Bennett
Dr. Sarah Johnson
Dr. Ross

BetterDiagnostics has transformed my practice with quick, precise diagnoses. The color-coded visuals make it easy to explain findings to patients, boosting their confidence in the treatment process.

The AI accuracy and speed have greatly enhanced my workflow. I can diagnose all my issues within seconds, which allows me to focus more on my patient care rather than extensive analysis.

BetterDiagnostics is invaluable for my practice. The intuitive interface and reliable results streamline my diagnostic process, saving time and delivering the precision I need for my young patients.

Dentrix
Eaglesoft
Open Dental
Curve Dental
Carestream Dental
Practice-Web
MacPractice
Patterson Eaglesoft
SoftDent
Easy Dental
Denticon
Ortho2
ClearDent
ABELDent
DentiMax
Carestream
Dentiware
OrthoTrac
Open Dental Software
Curve Dental Software


Summary: Cleerly LABS is a healthcare software product developed by Cleerly, offering advanced AI-driven solutions for medical imaging analysis and diagnostics.

Cleerly LABS provides AI-powered tools for analyzing medical imaging data, assisting healthcare professionals in diagnostics and treatment planning. The platform integrates with existing medical imaging systems to enhance workflow efficiency and diagnostic accuracy.

clinicians
radiologists
healthcare administrators

Radiology
Cardiology
Oncology
Neurology
Orthopedics
Pulmonology
Gastroenterology
Urology
Dermatology
Endocrinology
Hematology
Infectious Diseases
Pediatrics
Geriatrics
Obstetrics
Gynecology
Emergency Medicine
Anesthesiology
Pathology
Psychiatry

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

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

Automated coronary artery disease detection

Quantitative assessment of plaque burden

Regulatory compliance with FDA guidelines

Continuous software updates and improvements

Integration with electronic health records (EHR)

Predictive analytics for disease progression

Integration with laboratory information systems (LIS)

PACS
EHR
Wearable devices
Laboratory information systems (LIS)
Mobile devices
Telemedicine platforms
Clinical trial management systems

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure data storage
Secure data transmission
Regular security updates
Compliance with security standards

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data access controls
Data retention policies
Data sharing policies
Data breach notification procedures
Compliance with privacy laws

CrelioHealth
Varian Medical Systems
Elekta
Carestream Health
DatCard Systems
MedWeb
MiNNOVAA
Embark

"Good and Affordable LIS" - Fashi S., Managing Director, Small-Business (50 or fewer employees) - 4/14/2025

"They are always willing to help us solve complex problems to meet the goals of our stakeholders." - Brandon R., Business Analytics Senior Manager at Evernorth - 07/25/2024

4.7/5 (15 reviews) - Clarify Health Solutions

4.3/5 (108 reviews) - Thermo Scientific SampleManager LIMS Software

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


Summary: LVivo Seamless is an AI-driven software that automates the selection and analysis of optimal cardiac ultrasound views, providing key measurements to enhance echocardiography workflows.

LVivo Seamless utilizes artificial intelligence to automatically select and analyze the best cardiac ultrasound views from standard echocardiogram exams, generating measurements such as Ejection Fraction (EF), Global Longitudinal Strain (GLS), and Right Ventricle Size and Function. This integration streamlines the echocardiography process, reducing manual variability and improving efficiency. The software operates seamlessly within existing PACS systems, delivering results as in-motion secondary captures alongside structured reports. It is vendor-neutral, compatible with images from any ultrasound device, and processes data on hospital servers, ensuring rapid and reproducible results. Additionally, LVivo Seamless has received FDA 510(k) clearance, affirming its safety and effectiveness in clinical settings.

clinicians
sonographers
cardiologists
echo lab technicians

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

Web
Embedded (ultrasound device)
Windows

Automated ejection fraction (EF) quantification

Left ventricle global and segmental longitudinal strain

Left ventricle segmental wall motion analysis

Right ventricle size and function assessment

Automatic view selection from 2D DICOM clips

Real-time image quality feedback (LVivo IQS)

LVivo EF
LVivo Strain
LVivo IQS
LVivo SAX

GE Healthcare
Philips Healthcare
Konica Minolta (Exa Cardio PACS)
Change Healthcare
Circle CVI
Edan
Esaote / Ebit
IBM Imaging AI Orchestrator
Neusoft
Terason
Intelerad

DICOM
DICOM Secondary Capture
HL7 v2
FHIR

Supports DICOM input; available cloud-hosted or on dedicated on-premise hardware for Windows-based PACS integration

User authentication / single sign-on (via integrations)

De-identified output / DICOM secondary capture option

Cloud-hosted with on-premises deployment option; deployed in ~20 countries (regional hosting/on-prem available)


Summary: Prostate MR on syngo.via is an AI-powered software by Siemens Healthineers that assists in interpreting multiparametric prostate MRI scans, aiding in lesion detection, classification, and reporting.

Prostate MR on syngo.via leverages deep neural networks to enhance the detection and classification of prostate lesions in MRI scans. It automates prostate gland segmentation, volumetric assessment, and generates pre-populated PI-RADS reports. The software integrates with syngo.via, Siemens Healthineers' advanced visualization and post-processing platform, and supports exporting results in RTSS format for MR/US fusion biopsies. It is CE certified as a Class IIa medical device but is not FDA approved and is not commercially available in some countries, including the U.S.

radiologists
urologists
oncologists
medical imaging professionals
biopsy specialists

Radiology
Oncology
Urology
Medical Imaging
Biopsy Procedures

Germany
Europe
Asia
Australia
Africa
Middle East
South America
North America (excluding U.S.)

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

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

Prostate gland segmentation and volumetric assessment

Lesion candidate localization and classification

Suspicion map highlighting lesion candidates

Automated prostate segmentation (T2/ADC)

Lesion detection and highlighting for PI-RADS assessment

Volumetric measurements of prostate and lesions

Automated calculation of prostate and lesion metrics

Supports MR-targeted biopsy planning / MR/US fusion export

Generation of structured DICOM-SR results

Integration into radiology reading workflow (syngo.via / viewer)

Confirmation workflow for reader review and editing

Visualization overlays and annotation tools

Exportable measurements for clinical/surgical use

syngo.MR Spectro Engine
syngo.MR General Engine

Hospital EHRs (via HL7/DICOM interfaces)


Summary: Ceevra Reveal 3+ is an FDA-cleared software that transforms CT and MRI scans into interactive 3D models, aiding clinicians in preoperative planning and intraoperative visualization.

Ceevra Reveal 3+ is a software medical device that processes CT and MRI scans to generate detailed three-dimensional images. It employs machine learning algorithms to assist clinicians in segmenting and visualizing normal anatomy, supporting preoperative surgical planning and intraoperative display. The software is accessible via mobile devices, desktop computers, external displays, and virtual reality headsets, offering interactive features such as rotation, zooming, panning, and selective visibility of anatomical structures. Ceevra Reveal 3+ is intended for use by healthcare professionals to assist in clinical decision-making for adult patients. The device has been validated using diverse patient and scanner datasets, demonstrating high performance in segmenting various anatomical structures. It is FDA-cleared and CE Marked for all types of surgeries, including thoracic, urologic, gynecologic, hepatobiliary, and general surgery procedures. Ceevra's 3D models have been used in numerous surgical specialties, including thoracic, urologic, general, HPB, and gynecologic surgeries. The software is designed to be easy to implement and use, requiring no effort from hospital personnel beyond uploading the source CT and MR imaging to Ceevra's cloud. Ceevra Reveal 3+ is available in the United States and European Union, with support for English and other languages. The company offers support via phone and email, and the product is available through various medical device distributors.

clinicians
surgeons
radiologists
healthcare professionals
medical imaging specialists
surgical planners
medical device distributors
hospital personnel
medical software users
healthcare technology users

Thoracic Surgery
Urologic Surgery
Gynecologic Surgery
Hepatobiliary Surgery
General Surgery
Radiology
Medical Imaging
Surgical Planning
Intraoperative Visualization
3d Imaging
Medical Device Software
Healthcare Technology
Medical Software
Surgical Visualization
Medical Imaging Software
Clinical Imaging

Automated generation of 3D models from CT and MRI scans

Interactive visualization of patient anatomy

Support for various surgical specialties: Thoracic, Urologic, General, HPB, Gynecologic

Accessible on multiple devices: phones, tablets, laptops, surgical robotic displays

No input required from hospital personnel for model generation

Tailored anatomical structures for specific surgeries

Selective display of anatomical structures for clear visualization

Improved surgical planning and patient counseling

Enhanced patient understanding and reduced anxiety

Elevated patient experience leading to increased patient selection

Proven clinical benefits demonstrated in randomized clinical trials

Significant impact on surgical approach and outcomes

Improved patient outcomes in robotic partial nephrectomy and prostatectomy

Support for open, laparoscopic, and robotic procedures

Easy implementation with minimal IT involvement

Rapid model generation within two business days

Subscription-based pricing tailored to customer needs

Surgical augmented reality overlays
Intraoperative 3D model visualization

Advent Health
Swedish Medical Center
Baptist Health South Florida
Tulane University School of Medicine
Saint John's Health Center Providence
Stamford Health
Providence Tarzana Medical Center
Southern Illinois Healthcare
Lahey Hospital & Medical Center
UCLA Health
Sarasota Memorial Health Care System

Ceevra is a total game changer. 100% happy with the functionality. Saves time in the OR by helping me decide how to approach a case before I get there. I can look for variations in the anatomy and appreciate them beforehand. It’s like having GPS rather than a hand-drawn treasure map.

It's a huge advantage to have Ceevra. It’s really indispensable to surgical planning.


Summary: JLK-SDH is an AI-powered medical device developed by JLK to assist healthcare professionals in diagnosing and managing diseases by analyzing medical images and patient data.

JLK-SDH is an artificial intelligence-enabled medical device designed to support healthcare providers in diagnosing and managing diseases through the analysis of medical images and patient data. It leverages advanced machine learning algorithms to interpret complex medical information, aiming to enhance diagnostic accuracy and patient outcomes.

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

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

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

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

Detection of hemorrhagic and ischemic strokes

Integration with mobile app for real-time data sharing

JLK-LVO (Large Vessel Occlusion detection)

JLK-PWI (Cerebral Perfusion Weighted Imaging)

JLK-ICH (Intracerebral Hemorrhage detection)

JLK-WMH (Cerebral White Matter Degeneration)

JLK-CMB (Cerebral Microbleeds detection)

JLK-LAC (Chronic Lacunar Infarction detection)

JLK-CTL (Non-contrast Large Vessel Occlusion detection)

JLK-CTI (Early Detection of Cerebral Infarction)

Epic
Cerner
PACS
Billing Systems
Telemedicine Platforms
Mobile Health Apps
Clinical Decision Support Systems
Electronic Health Records (EHR)
Laboratory Information Systems (LIS)
Radiology Information Systems (RIS)

FHIR
HL7 v2
DICOM
SNOMED
ICD-10
LOINC
CMT
ICD-9
CPT
HCPCS

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

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
Data Masking
Access Control
Network Security
Incident Response Plan

BAA available
Consent Management
Anonymization
Data Minimization
Data Retention Policy
Data Access Control
Data Sharing Policy
Data Breach Notification
Data Subject Rights Management
Data Processing Agreement


Summary: Airmod is an AI-driven respiratory monitoring system developed by Heroic Faith Medical Science, designed to provide continuous, non-invasive assessment of patients' breathing sounds during medical procedures, enhancing patient safety and communication among healthcare professionals.

Airmod is an AI-powered respiratory monitoring system developed by Heroic Faith Medical Science. It utilizes deep learning algorithms to analyze breathing sounds, offering real-time, non-invasive assessments of patients' respiratory conditions during medical procedures. The system is designed to operate seamlessly with electronic stethoscopes, providing both auditory and visual information to healthcare professionals. Airmod has been adopted in various medical settings, including gastroscopy, colonoscopy, pediatrics, and plastic surgeries, and has received regulatory clearances from the Taiwan FDA and the U.S. FDA. The system has been clinically validated, demonstrating its effectiveness in detecting life-threatening respiratory events earlier than traditional monitoring methods. Additionally, Airmod has been granted multiple patents for its hardware, software, and AI algorithms, underscoring its innovative approach to respiratory care.

Anesthesiology
Pulmonology
Pediatrics
Plastic Surgery
Dentistry
Gastroenterology
Urology
Obstetrics
Orthopedics
Cardiology
Neurology
Dermatology
Ent
Ophthalmology
Rheumatology
Infectious Disease
Endocrinology
Hematology
Oncology
Psychiatry

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

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

AI-powered respiratory identification system

Real-time detection of abnormal respiratory rates

Deep-learning capabilities for early prevention care

Sophisticated ambient noise cancellation

Integration with traditional stethoscopes

Mobile application for remote monitoring

Traditional stethoscopes
Cloud-based platforms

Compatible with major operating systems and cloud platforms

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

Taiwan's major medical centers
Cleveland Clinic
10 dental training centers in the U.S.

I had a remarkable experience at Heroic-Faith Medical Science. The staff was friendly, professional, and made the entire process comfortable. The quality of care provided was exceptional, and I am thankful for their expertise. I highly recommend this company to anyone seeking outstanding medical services.

I recently had the privilege of being treated at an incredible medical company. The level of care I received was exceptional, and I felt heard throughout the entire process. The staff was attentive, professional, and made me feel like a valued patient. I highly recommend their services.


Summary: Myomics is an AI-driven cardiac MRI analysis software developed by Phantomics, designed to automate cardiac MRI image analysis, enhancing diagnostic accuracy and reducing examination time.

Myomics utilizes artificial intelligence to fully automate the analysis of cardiac MRI images, providing rapid and precise diagnostics for various cardiomyopathies. It offers features such as AI-based automated contour detection, quick calculation of ejection fraction, stroke volume, and mass, wall motion analysis, strain analysis based on feature-tracking, and tissue characterization. The software has received regulatory approvals in multiple countries, including the U.S., South Korea, Taiwan, Thailand, and Malaysia, and has been recognized with awards like the CES 2024 Innovation Award in Digital Healthcare and the Grand Innovation Technology Award at the FIX 2024 Innovation Awards.

Clinicians
Radiologists
Cardiologists
Medical Imaging Professionals

United States
South Korea
Taiwan
Thailand
Malaysia
Japan
Singapore

English
Korean
Chinese
Thai
Malay
Japanese
Singaporean English

South Korea
United States
Singapore
Taiwan
Thailand
Malaysia
Japan

AI-powered diagnostic imaging
Cardiovascular disease detection
Disease biomarker identification
Prognosis prediction
Clinical workflow integration
Multi-modal scanning
Non-invasive health screening
Actionable health insights
Staff-independent operation
Seamless EHR integration

Angiomics Seg
Angiomics
Myomics X-01
Myomics-CINE
Myomics-T2
Myomics-T1
Myomics-Q

Windows Server, Linux Server, 16 GB RAM, 500 GB HDD

HIPAA
GDPR
ISO 27001
ISO 13485
FDA 21 CFR Part 820
MDR
EU AI Act

FDA 510(k)
CE/MDR
ISO 13485
ISO 27001
BSI C5
MDSAP
Thai FDA
Malaysian MDA
Taiwan FDA


Summary: ChestView US is an AI-powered software developed by Gleamer to assist radiologists in detecting multiple chest pathologies on X-rays, enhancing diagnostic accuracy and efficiency.

ChestView US is an FDA-cleared AI software designed to aid radiologists in the detection of various chest pathologies, including pneumothorax, pleural effusion, consolidation, nodules, and mediastinal masses. It integrates seamlessly into existing clinical workflows, providing immediate, automated second reads of chest X-rays to support diagnosis and triage. The software has demonstrated significant improvements in diagnostic sensitivity and reduced reading times, thereby enhancing patient care and workflow efficiency. ChestView US is part of Gleamer's Copilot suite, which also includes BoneView for bone trauma detection and BoneAge for bone age estimation, all holding MDR class IIa CE certification in Europe. The company has received FDA clearance for BoneView, marking its first AI-powered solution certified for detecting bone fractures in the United States. Gleamer's solutions are recognized for their scientific rigor, with publications in top-tier peer-reviewed journals, and have been implemented in over 2,000 institutions across 45 countries, analyzing more than 35 million examinations. The company was founded in 2017 and has offices in France and the United States.

radiologists
clinicians
healthcare providers

Pulmonology
Thoracic Radiology
Emergency Medicine
Oncology

Detection of pneumothorax, pleural effusion, consolidation, lung nodule, mediastinal mass

Lesion localization with explainable regions of interest / heatmaps

Triage and study prioritization / worklist flagging

Automated alerts/notifications for critical findings

Batch processing / concurrent reading aid

Reporting assistance and structured outputs

Explainability / visual overlays for clinician interpretation

Clinical evidence and performance reporting

Aidoc
Fujifilm
VIDI
RMS Medical Devices
Sectra
Incepto Medical
Blackford Analysis
Konica Minolta
PACS
VNA
RIS
DICOM viewers / PACS viewer overlays
Hospital worklists / workflows

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

US and EU deployment options (cloud/region choices)


Summary: Ventripoint Medical System Plus (VMS+) is an AI-powered cardiac imaging system that transforms 2D echocardiograms into accurate 3D heart models, enabling precise assessment of all four heart chambers.

VMS+ utilizes Knowledge-Based Reconstruction (KBR) technology to generate 3D models from standard 2D ultrasound images, providing rapid and reproducible measurements of heart volumes and ejection fractions. It integrates seamlessly with existing clinical workflows and is compatible with any commercially available 2D ultrasound system. The system is designed to be secure, with all diagnostic data remaining within the institution's IT infrastructure by default. VMS+ has received FDA clearance and is licensed as a medical device in Canada. It is currently used by major hospitals in Europe, the U.K., the U.S., and Canada.

Clinicians
Cardiologists
Medical Imaging Technologists
Healthcare Administrators

Cardiology
Pediatric Cardiology
Congenital Heart Disease
Pulmonary Hypertension
Cardiotoxicity Assessment

United States
Canada
United Kingdom
Europe

Canada
United States
United Kingdom
Europe

AI-assisted echocardiogram image analysis

Automated plotting of key anatomical landmarks

3D reconstruction of all four cardiac chambers

Integration with existing ultrasound systems

Advanced reporting tools
Remote monitoring capabilities

Windows Server 2016 or later
Linux (Ubuntu 20.04 or later)

HIPAA
GDPR
ISO 13485
EU Medical Device Regulation (MDR)

FDA 510(k)
CE Mark
Health Canada Medical Device License

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

Data anonymization
Consent management
Data minimization