Summary: F.A.S.T. aiCockpit is an AI visualization software that integrates AI-driven findings into radiologists' existing workflows, enhancing efficiency in reviewing and interacting with medical imaging results.

F.A.S.T. aiCockpit is a 2D and 3D visualization software developed by Fovia Ai, Inc., designed to seamlessly integrate AI-driven findings into radiologists' existing workflows. It allows radiologists to efficiently visualize, navigate, edit, and accept or reject results from lung nodule detection algorithms. The software is FDA 510(k) cleared and can be embedded into existing systems such as PACS, universal viewers, and reporting systems, facilitating faster case times and improved clinical decision-making. It also supports the integration of multiple AI algorithms, reducing the need for separate viewers and streamlining the review process. Additionally, F.A.S.T. aiCockpit is part of Fovia Ai's Universal AI Viewer, which aims to provide optimized workflows for all radiology AI algorithms, further eliminating the need to launch multiple viewers.

radiologists
clinicians
healthcare administrators

Efficient navigation and interaction with AI findings

Support for multiple AI formats (DICOM Structured Reports, DICOM Key Images, DICOM GSPS, DICOM segmentation objects)

Integration with existing PACS, worklist, dictation software, and hospital systems

AI findings gatekeeper for delivering physician-validated results to AI orchestrators, PACS, and reporting systems

Advanced visualization with high-quality performance and scalability

Rapid deployment to expedite AI-driven product strategies

F.A.S.T. AI Annotation
F.A.S.T. AI Validation
F.A.S.T. AI Workflows
F.A.S.T. Interactive AI
F.A.S.T. Interactive Segmentation
F.A.S.T. RapidPrint

Epic
Cerner
PACS systems
Universal Viewers
Reporting Systems
AI Vendors
Orchestrators
Platforms

FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
RadLex
Common Data Elements (CDEs)

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


Summary: 3DXR is a post-processing software by GE HealthCare that reconstructs 3D images from X-ray interventional systems, enhancing image clarity for medical procedures.

3DXR is a software application designed to perform three-dimensional reconstruction of images obtained through 3D acquisition modes of X-ray interventional systems. It incorporates a Deep-Learning option, CleaRecon DL, to reduce streak artifacts, enhancing image clarity to assist physicians in diagnosis, surgical planning, interventional procedures, and treatment follow-up. The software runs on the Advantage Workstation platform and includes features such as motion artifact reduction and metal artifact reduction. Clinical testing confirmed improved image clarity in 98% of cases without introducing artificial structures or hiding important anatomical features.

Radiology
Interventional Radiology
Cardiology
Oncology
Orthopedics
Neurosurgery
Vascular Surgery
Urology
Gastroenterology
Pulmonology
Pediatrics
Obstetrics
Gynecology
Ent
Ophthalmology
Plastic Surgery
Trauma Surgery
Spinal Surgery
Thoracic Surgery
Abdominal Surgery

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

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

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

Augmented reality-based interventional radiology suite

Holographic heads-up display streaming live medical imaging

GE HealthCare interventional X-ray systems (Allia IGS, Innova IGS with AutoRight)

Compatible GE HealthCare interventional X-ray systems

BAA available
Consent management
Anonymization
Data minimization


Summary: Fitbit's Loss of Pulse Detection is a feature on Pixel Watch 3 that detects when a user's heart stops beating and automatically contacts emergency services if the user is unresponsive.

Loss of Pulse Detection is a software application from Fitbit designed to analyze pulse data collected by consumer wrist-worn devices to detect possible loss of pulse events. When such events are detected, it alerts the user with audio, visual, and haptic signals, and can prompt an emergency call if the user does not respond. This helps in early identification of critical cardiac events, improving patient safety by notifying potential emergencies.

United States
Austria
Belgium
Denmark
France
Germany
Ireland
Italy
Netherlands
Norway
Portugal
Spain
Sweden
Switzerland
United Kingdom

English German French Italian Dutch Spanish Swedish Norwegian Danish Portuguese

Included with Pixel Watch 3; no additional cost

United States
Switzerland
United Kingdom
France
Germany
Italy
Netherlands
Norway
Denmark
Portugal
Spain
Sweden
Belgium
Austria
Ireland

Health data sharing with healthcare providers

Advanced heart rate variability analysis

Fitbit Web API for third-party applications

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27018
ISO 27032
ISO 27035
ISO 27037
ISO 27040

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Endpoint security
Network security
Application security
Data masking

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
Data access controls
Data sharing controls
Data export controls
Data deletion policies
Data breach notification

Sandra C.
Kim C.
Oscar Anthony O
Gillian G.

I use Fitbit myself, and with patients. Monitoring heart rate, oxygen level, and activity/sleep with only one small wrist worn device is highly beneficial. Newer Fitbit models are equipped with EDA scan and ECG. It can identify and alert to AFIB. I was not satisfied with the alarm feature. I had intended on using it as my daily alarm as well as a reminder later in the day. The vibration is weak! If I don't have the device synched down as tight as I can, I don't feel the alarm at all. The alarms cannot be named, making them not as useful as they could be.

I like the step tracking function as I use this daily to link with my GoVida App. I also like the menstrual tracking as I find it to be very accurate. I use the heart rate fitness tracker as well although I'm not sure how accurate this is as it seems to vary quite a bit during the day but I like that it gives me an indication of my cardiac health based on my age and sex.

I have had a fantastic experience with Kareo. The sales team and implementation team have been incredibly responsive and helpful.

I appreciate the Fitbit as it helps me keep track of my daily activity. Having it has made me more vigilant about my health.

5.0 Overall Rating on Capterra
4.0 Overall Rating on Capterra
4.8 stars on G2
4.4 stars on G2

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: ART-Plan+ is an AI-powered, web-based radiotherapy planning software that automates the delineation of organs at risk and lymph nodes, streamlining the contouring process for cancer patients.

ART-Plan+ offers AI-driven solutions for radiotherapy, including automatic delineation of over 100 organs at risk and lymph nodes, real-time deformation of contours, and MR-only workflows for efficient treatment planning.

Radiologists
Oncologists
Medical Physicists
Radiotherapy Technologists

Oncology
Radiology
Medical Imaging
Radiotherapy

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

AI-powered automatic delineation of target anatomical regions on 3D images

AI-based pseudo-CT generation from MR and CBCT images

AI-optimized treatment planning across modalities

Offline adaptive radiotherapy workflow with augmented CBCT images

Automated delineation of organs-at-risk and lymph nodes

Dose calculation on augmented CBCT images for daily dose tracking

Integration with existing treatment planning systems (TPS) and linear accelerators (Linac)

Web-based platform accessible from any computer connected to the clinic's network

Plug and play solution compatible with all TPS and Linac providers

AI-enhanced tool for efficient and precise adaptive planning

AI-initiated rigid and deformable fusion

MR-based pseudo-CT generation and annotation

AI-based software for automatic delineation

Software for reliable rigid and deformable fusion

Brainlab Elements platform
Mater Private Network
Amsterdam UMC

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

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: OncoStudio is an AI-driven software developed by Oncosoft that automates organ contouring in radiation therapy, enhancing precision and efficiency in treatment planning.

OncoStudio utilizes artificial intelligence to automatically detect treatment areas and prepare organ contours, significantly reducing manual effort and time in radiation therapy planning. It supports a comprehensive library of anatomical structures and integrates seamlessly with existing medical imaging systems, adhering to global standards like DICOM and HL7 FHIR. The software has been implemented in over 30 hospitals in South Korea, including Samsung Medical Center and Seoul National University Hospital, and is expanding its presence internationally, with plans to enter the U.S. and Japan markets in 2024. OncoStudio has received regulatory approval in South Korea and is recognized for its high accuracy and speed in contouring tasks, with processing times ranging from several seconds to a few minutes, depending on the complexity of the case. The company, Oncosoft, was founded in 2019 and is headquartered in Seoul, South Korea, with an office in Dallas, Texas, USA.

clinicians
medical physicists
radiation oncologists
admins

AI-powered automatic organ and tissue recognition

Preparation of organ contour samples without user input

Extensive structure library for various organs

Fast processing with contours drawn within an average of 1 minute per case

Integration with existing clinical workflows

Cloud-based deployment (planned for 2026)

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


Summary: Sonio Suspect is an AI-powered software that enhances prenatal ultrasound diagnostics by improving the detection of fetal anomalies, enabling earlier and more accurate identification of abnormalities.

Sonio Suspect is a cloud-based AI software designed to assist clinicians during or after fetal ultrasound examinations by automatically detecting and characterizing abnormal fetal findings. It aims to improve diagnostic accuracy and support better patient management decisions. The software underwent extensive verification and testing, demonstrating a sensitivity of 93.2% and specificity of 90.8% in detecting fetal anomalies. A multicenter reader performance study involving 47 sites, including 37 in the USA, showed a statistically significant 22-point improvement in anomaly detection (from 69% to 91% AUC, p<0.001). This improvement was consistent across diverse patient demographics and clinician backgrounds. Sonio Suspect enables early identification of subtle congenital malformations from as early as 11 weeks, providing a broader diagnostic window for early intervention and improved maternal and fetal outcomes. The software is integrated into Sonio's comprehensive reporting and workflow solution, which includes Sonio Detect, a quality assurance algorithm that ensures high-quality image acquisition. By combining real-time quality control with AI-driven anomaly detection, Sonio Suspect bridges the gap between technology and clinical application, empowering providers with consistent, efficient, and accurate prenatal screening across diverse healthcare settings.

Clinicians
Obstetricians
Gynecologists
Radiologists
Sonographers
Maternal-Fetal Medicine Specialists
Healthcare Providers
Medical Institutions
Hospitals
Medical Clinics

Obstetrics
Gynecology
Maternal-fetal Medicine
Radiology
Ultrasound Imaging
Prenatal Care
Fetal Medicine
Medical Imaging
Women's Health
Neonatology

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

English French Spanish German Italian Portuguese Dutch Russian Chinese Japanese

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

Digital Workplace
Hybrid Cloud
Data Management
Consulting
Managed Services
Professional Services
Support Services
Workplace as a Service
Managed On-Premises
Managed Hyperscaler
Sonio Cloud
Managed Monitoring
Managed Backup
Managed Antivirus
Managed LAN Service
Managed WLAN Service
Active Line
Advanced Line
IT Expertise on Demand
Rollout Services

Health Check
IT Assessments
CISO as a Service

Microsoft 365
VMware ESXi
HPE ProLiant DL160 G10
Veeam Backup & Replication
FortiGate Firewall
Windows Active Directory
Windows 11
Windows Server 2022
Microsoft SQL Server 2022
Dell EMC
Cohesity
Pure Storage
NetApp
TeamViewer
HP Hardware
Huawei
Veritas

Windows Server 2022, VMware ESXi 8.0, HPE ProLiant DL160 G10, Veeam Backup & Replication, FortiGate Firewall, Windows Active Directory, Windows 11, Microsoft SQL Server 2022

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
Firewall
Intrusion Detection System (IDS)
Intrusion Prevention System (IPS)
Security Operation Center (SOC)

BAA available
Consent Management
Anonymization
Data Minimization
Data Residency in Switzerland
Data Residency in EU
Data Residency in US
Data Residency in BYO cloud region
Data Residency in multiple regions
Data Residency in specific regions

Switzerland, EU, US, BYO cloud region, multiple regions, specific regions


Summary: QuickRad is an AI-powered web-based PACS and RIS system designed to enhance radiology workflows and diagnostic accuracy.

QuickRad is a web-based Picture Archiving and Communication System (PACS) and Radiology Information System (RIS) developed by Aikenist Technologies. It offers a zero-footprint viewer compatible with multiple operating systems and browsers, supporting true-to-source image fidelity and advanced 3D visualization such as MPR and MIP. The system integrates optional FDA-cleared third-party AI models, displaying outputs alongside original images. QuickRad adheres to DICOM standards and employs HTTPS, AES 256 encryption, and multi-factor authentication for secure access. It can be deployed on-site, in private cloud environments, or on major cloud platforms. The system is intended for use by proficient and certified medical practitioners, including physicians, radiologists, and medical technicians. It offers optional integration with FDA-cleared third-party AI models, enabling the visualization of AI-generated outputs. QuickRad has received FDA 510(k) clearance, allowing Aikenist Technologies to market the device in North America. ([auntminnie.com](https://www.auntminnie.com/imaging-informatics/article/15741204/aikenist-secures-510k-clearance-for-ai-pacs-and-ris-system?utm_source=openai))

clinicians
radiologists
medical technicians

AI Scheduling
Coordinated Workflow
Live Dashboard with TAT Metrics
AI Analysis
Modality Queuing & Worklist
HIMS and EMR Integration
Web App for Paramedics
Web App for Patients
Web App for Radiologists
Web App for Specialists

Aiken Dental PACS
Aiken Voice
Aiken Reporting
Aiken Compute
Aiken Viewer

HIPAA
GDPR
ISO 27001
ISO 27017
ISO 27018
PCI DSS
SOC 2
FedRAMP Moderate

FDA 510(k)
CE/MDR
ONC
ISO 9001
ISO 27001
ISO 27017
ISO 27018
PCI DSS
SOC 2
FedRAMP Moderate

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP

BAA available
Consent Management
Anonymization
Data Minimization


Summary: ScanDiags Ortho L-Spine MR-Q is an AI-powered software tool that processes lumbar spine MRI images to provide quantitative measurements of spinal anatomical structures, assisting radiologists in efficient and accurate assessments.

ScanDiags Ortho L-Spine MR-Q is an FDA-cleared software tool that utilizes deep learning algorithms for semi-automatic segmentation and measurement of lumbar spine MRI images. It quantifies anatomical structures such as vertebral bodies, intervertebral discs, neuroforamina, and thecal sacs, enabling radiologists to review and adjust results, thereby enhancing the efficiency and accuracy of lumbar spine assessments without replacing expert interpretation.

radiologists
clinicians
orthopedic surgeons
medical institutions
hospitals

Orthopedics
Radiology
Spine Surgery
Musculoskeletal Imaging
Neurology
Sports Medicine
Geriatrics
Rheumatology
Pain Management
Physical Therapy
Chiropractic Care
Osteopathy
Podiatry
Physiatry
Internal Medicine
Family Medicine
Emergency Medicine
Oncology
Pediatrics

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

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

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

semi-automatic segmentation of lumbar spine MRI images

quantitative measurements of vertebral bodies, intervertebral discs, neuroforamina, and thecal sacs

deep learning algorithms for image processing

user review and adjustment of segmentation results

generation of PDF reports for clinical use

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

data encryption
user authentication
audit logs

data anonymization
user consent management


Summary: CaRi-Plaque is an AI-assisted image analysis application developed by Caristo Diagnostics to noninvasively assess coronary artery disease from routine CT angiography scans, determining plaque presence, extent, and severity.

CaRi-Plaque utilizes artificial intelligence to analyze coronary CT angiography (CCTA) scans, providing detailed assessments of coronary plaque characteristics and luminal stenosis. The software delivers comprehensive reports that include metrics such as maximum stenosis, total plaque volume, and plaque burden, aiding clinicians in the early detection and management of coronary artery disease. It has been validated against independent clinical experts, demonstrating high accuracy in plaque characterization. The technology is FDA-cleared and is available for use in hospitals, health systems, and longevity clinics. Clinics using CaRi-Plaque can seamlessly adopt Caristo’s CaRi-Heart® when cleared by FDA, enabling the analysis of both plaque and coronary inflammation, providing an unprecedented, full-spectrum view of heart disease before symptoms arise.

Clinicians
Cardiologists
Radiologists
Healthcare Administrators
Medical Researchers

Cardiology
Radiology
Preventive Medicine
Medical Imaging
Health Informatics

United States
United Kingdom
European Union
Australia

Quantification of plaque type, volume, and severity

Non-invasive analysis of coronary anatomy and pathology

Integration with routine coronary CT angiography (CCTA) scans

Generation of comprehensive plaque analysis reports

Cloud-based processing with de-identified data

DICOM-conformant and PDF report delivery

CaRi-Heart® for coronary inflammation analysis

FDA 510(k) clearance
CE Mark
UKCA Mark
HIPAA
GDPR
HITECH
SOC 2
ISO 27001

FDA 510(k) clearance
CE Mark
UKCA Mark
ISO 13485
ISO 9001


Summary: Falcon™ HST is a home sleep testing device by Compumedics, designed for efficient patient self-setup and comprehensive sleep diagnostics.

Falcon™ HST is a fully integrated home sleep testing solution that offers intuitive patient setup, comprehensive data acquisition, and seamless reporting. It includes both disposable and reusable sensor options, and utilizes the Profusion PSG software suite for data analysis and reporting. The device has received FDA clearance for marketing in the USA and has been successfully launched in Australia, with plans for expansion into the U.S. market. ([compumedics.com.au](https://www.compumedics.com.au/en/asx-announcements/business-update-mar5-2025/?utm_source=openai))

Integrated color touch screen for simple user interface and patient set-up

Integrated battery and simple charging station

Charging station incorporates USB for data transfer

High-resolution and quality signal capabilities

Color-coded head leads match Falcon unit connectors

Four high-speed channels: two bi-polar, one bipolar with key, one ECG channel

Two inductive band channels with dedicated disposable or reusable bands

256 samples per second, 24 bits, DC coupled

Cloud integration
Local software integration

BAA available
Consent management
Data anonymization


Summary: EFAI Chestsuite XR Malpositioned ETT Assessment System is an AI-driven software that analyzes chest X-ray images to detect and alert healthcare professionals about endotracheal tube (ETT) malpositioning, facilitating timely medical intervention.

EFAI Chestsuite XR Malpositioned ETT Assessment System is a computer-aided triage and notification software developed by Cosmo Artificial Intelligence - AI. Utilizing deep learning algorithms, it automatically analyzes chest X-ray images to identify potential vertical malpositioning of endotracheal tubes at the tracheal carina. Upon detection, the system actively sends alerts to PACS/RIS workstations, enabling healthcare professionals to promptly address ETT misplacement and reduce associated complications. The product has received medical device licenses from both the U.S. FDA (License No.: K242821) and Taiwan's TFDA (License No.: 008157).

Clinicians
Radiologists
Intensive Care Unit Physicians
Healthcare Administrators

Intensive Care
Anesthesiology
Emergency Medicine
Pulmonology
Critical Care

Deep learning-based analysis of chest X-ray images

Detection of endotracheal tube (ETT) misplacement at the carina

Automated alerts to PACS/RIS workstations upon ETT misplacement detection

Enhanced speed in identifying ETT misplacement compared to standard clinical procedures


Summary: Brainomix 360 Triage Stroke is an AI-powered tool that provides real-time alerts for suspected large vessel occlusions (LVO) and intracranial hemorrhages (ICH) on non-contrast CT scans, aiding clinicians in timely stroke treatment decisions.

Brainomix 360 Triage Stroke is an FDA-cleared software that analyzes non-contrast CT scans to detect suspected LVOs and ICHs, sending real-time notifications to clinicians' smartphones. This facilitates prompt treatment and transfer decisions, enhancing stroke care efficiency. The tool is part of the Brainomix 360 platform, which offers comprehensive AI-driven stroke imaging solutions. ([brainomix.com](https://www.brainomix.com/stroke/triage-stroke/?utm_source=openai))

Clinicians
Neurologists
Radiologists
Emergency Physicians

United States
Europe
Asia
Australia
Africa
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 Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Bengali Punjabi Javanese Turkish Vietnamese Telugu Marathi

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

Automated detection of large vessel occlusions (LVO) from non-contrast CT scans

Real-time alerts for suspected LVO and intracranial hemorrhages (ICH)

Integration with hospital PACS systems for seamless workflow

Mobile application for clinicians to receive notifications and access results

Overlaid heatmaps on CT scans to assist in visual assessment

Support for single- and multi-phase CT angiography (CTA) scans

Automated assessment of collateral circulation in CTA images

Integration with Brainomix 360 platform modules (e-ASPECTS, e-CTA, e-CTP, e-MRI)

Secure data transmission with encryption in transit and at rest

Role-based access control (RBAC) for user management

Single sign-on (SSO) and SAML support for authentication

Audit logging for tracking user activities

Two-factor authentication (2FA) for enhanced security

Compliance with HIPAA and GDPR regulations

FDA 510(k) clearance and CE mark certification

Pseudonymization of patient data for privacy protection

Data minimization options to reduce unnecessary data collection

Support for on-premises deployment or cloud hosting with US and EU region options

Triage LVO (real-time LVO notifications)

PACS systems
DICOM imaging systems/viewers
Email notification systems
Brainomix 360 platform modules

DICOM-capable PACS/VNA connectivity; server (Windows/Linux) deployment option; GPU recommended (NVIDIA) for accelerated processing; secure network/TLS

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

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

BAA available for US customers
Pseudonymization of emailed results
Consent/privacy statements (GDPR)
Data minimization options

US and EU hosting options (regional deployments supported)


Summary: AVIEW CAC is an AI-powered software developed by Coreline Soft for automated coronary artery calcification analysis using chest CT scans, aiding in the detection and assessment of coronary artery disease.

AVIEW CAC utilizes advanced AI algorithms to automatically segment and label cardiac structures, detect calcifications within coronary arteries, and provide comprehensive analysis, including Agatston, volume, and mass scores. It integrates seamlessly into standard reading environments, offering quick and accurate results with low inter-reader variability. The software has received FDA 510(k) clearance, CE certification, and other international approvals, demonstrating its safety and effectiveness in clinical settings.

Clinicians
Radiologists
Cardiologists
Medical Imaging Professionals

United States
South Korea
Europe
Japan
Taiwan
Australia
Singapore
Brazil
Canada

English Korean Japanese Chinese German French Spanish Italian Portuguese

South Korea
United States
Germany
France
Japan
Taiwan
Australia
Singapore
Brazil
Canada

Automatic coronary artery segmentation (LM, LAD, LCX, RCA)

Supports non-contrast, non-gated chest CT and cardiac-gated CT

Encapsulated DICOM / Secondary Capture output

Integration with PACS/RIS reading workflows

Validated against ECG-gated cardiac CT (published studies)

RMS Medical Devices (reseller/platform integration)

Server (Linux/Windows); supports virtualized deployment (VM, Docker); server-based or cloud deployment

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

Encryption at rest and in transit
RBAC
SSO/SAML
Audit logs
2FA
DLP

South Korea, United States, European Union, United Kingdom, Australia, Singapore


Summary: NAEOTOM Alpha is Siemens Healthineers' first photon-counting CT scanner, offering high-resolution imaging with reduced radiation exposure and spectral information in every scan.

NAEOTOM Alpha utilizes QuantaMax photon-counting detectors to directly convert X-rays into electrical signals, providing high-resolution images with spectral data at minimal doses. It features Quantum HD for detailed anatomical imaging, Quantum Spectral Imaging for functional evaluation, and Quantum PURE Lumen for assessing coronary vessels. The system includes AI-powered myExam Companion for efficient operation and a large 82 cm bore for patient comfort. It is FDA-cleared and has been in clinical use since 2021, with over a million patient scans completed worldwide.

clinicians radiologists technologists patients

Cardiology Oncology Neurology Pulmonology Musculoskeletal Pediatrics

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

English German Spanish French Italian Portuguese Dutch Chinese Japanese Korean

Contact Siemens Healthineers for pricing information.

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

Quantum HD resolution with 0.2 mm slice thickness

Dual Source temporal resolution down to 66 ms

myExam Companion for intelligent imaging

myNeedle Companion for percutaneous procedures

FAST 3D Camera for standardized patient positioning

Quantum PURE Lumen for calcification removal in CTA exams

Quantum Iterative Reconstruction for optimal image quality

Scan&GO mobile workflow for efficient scanning

Automated GO technologies for standardized departmental processes

Multipurpose table with independent movement for easy patient access

Visual patient instruction for improved patient compliance

Recon&GO for automated image reconstruction

myExam Companion Decision Trees for protocol management

Scan&GO Mobile Workflow Simulation for training

Somaris X Reconstructions for advanced image processing

CT Scan&GO VB10 Mobile Workflow for thorax CTA examination simulation

Brain Hemorrhage and Skull Unfolding in CT Recon&GO Simulation for training

Cardiac CT Basics - ECG preparation for CT cardiac scanning

Coronary CTA Video for procedural guidance

syngo.via for image distribution and archiving

Automated GO technologies for departmental processes

HL7 CCD for continuity of care documents

Windows or Linux operating system, syngo.via software platform

IEC 60601 for medical electrical equipment safety

IEC 62304 for software life cycle processes

ISO 13485 for quality management systems

ISO 27001 for information security management

ISO 14001 for environmental management systems

Encryption for data protection
Role-based access control (RBAC)
Audit logs for activity tracking
Two-factor authentication (2FA)
Data loss prevention (DLP)
Secure network protocols
Regular security updates
User authentication mechanisms
Data integrity checks
Access control policies

Business Associate Agreement (BAA) for data handling

Data anonymization for privacy protection

Compliance with data protection regulations


Summary: Resona 7 Ultrasound by Mindray is a premium imaging system that leverages advanced technologies to deliver high-quality, uniform images across various medical applications, enhancing diagnostic confidence and workflow efficiency.

The Resona 7 Ultrasound System Platinum Edition is designed to meet the evolving needs of value-based care environments. It offers clear, uniform imaging for radiology, vascular, women's health, pediatric, and shared service applications. The system integrates advanced imaging technologies with intuitive, AI-enhanced tools to improve clinician and patient satisfaction. Its ergonomic design ensures comfort during daily use, enabling clinicians to capture premium images without compromise.

clinicians
nurses
radiologists
sonographers
pediatricians
vascular specialists
OB/GYNs
healthcare administrators

Radiology
Vascular
Women's Health
Pediatrics
Shared Services

United States
Canada
Europe
Asia
Australia
Middle East
Africa
Latin America

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

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

HD Scope
V Flow
HiFR STE
USAT
Sound Speed Compensation (SSC)
Depth VR
Smart Planes CNS
Smart Planes FH
Smart Face
Smart FLC
Smart OB/NT
iFusion
iBeam
iClear
iTouch
iLive
iPage+
iScape View
iNeedle
iWorks

Contrast Imaging QA
Volume CEUS
STE Imaging
STQ Imaging
Natural Touch Elastography Imaging
HR Flow
TDI
TDI QA
TT QA
LVO
Stress Echo

DICOM
MedSight
MedTouch
UltraAssist
UltraView
Voice control
Touch gestures

Data Encryption
Access Control
Anti-Virus
Operating System Hardening
Secure Data Wipe
Wired/Wireless DICOM Encryption


Summary: SubtleHD is an AI-powered software by Subtle Medical that enhances MRI image quality and reduces scan times by up to 80%, integrating seamlessly with existing MRI scanners.

SubtleHD utilizes advanced denoising and sharpening techniques to produce ultra-clear MRI images, enabling significantly faster scan protocols. It integrates with existing MRI scanners from all major manufacturers, enhancing performance without requiring new hardware investments. The software is applicable to all body parts and MRI sequences, improving diagnostic confidence and patient comfort by reducing scan durations.

clinicians
radiologists
imaging centers
hospitals

Neurology
Orthopedics
Cardiology
Oncology
Musculoskeletal
Spine
Pediatrics
Gastroenterology
Urology
Gynecology
Pulmonology
Ent
Vascular
Trauma
Sports Medicine
Rheumatology
Infectious Disease
Endocrinology
Dermatology
Hematology

United States
Canada
European Union
Brazil
Chile
Mexico
Argentina
Colombia
Peru
Venezuela
Ecuador
Guatemala
Cuba
Bolivia
Dominican Republic
Honduras
Paraguay
El Salvador
Nicaragua
Costa Rica

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

United States
Canada
United Kingdom
Germany
France
Italy
Spain
Brazil
Chile
Mexico

Up to 80% reduction in scan times for certain sequences

Vendor-neutral compatibility with all MRI scanners

Integration into existing clinical workflows

MRI scanners
Hospital information systems
Electronic health record platforms


Summary: Vivid iq Ultra Edition is a portable ultrasound system by GE HealthCare, delivering high-quality 2D and 4D imaging with AI-driven features to enhance workflow efficiency.

Vivid iq Ultra Edition is a compact, portable ultrasound system designed for exceptional imaging performance in various clinical settings. It offers advanced AI-based tools to streamline workflows and improve diagnostic accuracy, all within a lightweight and ergonomic design.

Cardiology
Vascular
Abdominal
Pediatrics
Interventional Cardiology
Emergency Medicine
Intensive Care
Neonatology
Obstetrics
Gynecology
Urology
Pulmonology
Orthopedics
Rheumatology
Gastroenterology
Endocrinology
Neurology
Dermatology
Ophthalmology
Otolaryngology

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

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

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

Ultra-definition clarity filtering and virtual apex for FPA probes

Full touch screen with conventional user control panel

Automated tools like 2D Auto EF 2.0, AFI 2.0, and Scan Assist Pro

Intuitive user interface with intelligent touch keyboard

Ergonomic LCD monitor with view angle adjusting mechanism

Innovative cart design with legroom and height adjustment

Flexible monitor design for easy transportation

Battery option for additional scanning time

Capability to transfer DICOM to multiple destinations

Cardiac, transesophageal, peripheral vascular, fetal/OB, adult abdominal, pediatric, small organ, neonatal cephalic, adult cephalic, conventional musculoskeletal, superficial musculoskeletal, transcranial, transrectal, transvaginal imaging applications

2D tissue, 2D color flow, 2D angio flow, color M-mode, tissue velocity M-mode, continuous wave Doppler, tissue M-mode, pulsed wave Doppler, anatomical M-mode, tissue velocity imaging, tissue tracking, tissue velocity Doppler, blood flow imaging, B-flow, 2D stress, Auto EF 2.0, virtual apex, coded phase inversion, compound imaging operating modes

Electronic sector, electronic convex, electronic linear, CW pencil scanning methods

Sector phased array, convex array, linear array transducer types

Peripheral options: DVDRW, color video printer, B/W video printer, USB memory stick, one TB USB hard drive, HDMI cable, video converter, three-pedal configurable footswitch, rolling bag

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

Business Associate Agreement (BAA) available

Data minimization and purpose limitation


Summary: The Vivid T8 is a versatile cardiovascular ultrasound system from GE HealthCare, combining advanced imaging capabilities with AI-driven tools to enhance diagnostic accuracy and workflow efficiency.

The Vivid T8 offers a range of features including Tissue Velocity Imaging, AutoEF 2.0, Automated Function Imaging (AFI) 2.0, and Cardiac Auto Doppler with AI Auto Measure Spectrum Recognition. It supports various transducers for cardiac and shared service imaging, and is designed for durability with a robust construction, wide thermal range, and excellent dust protection. The system is lightweight and portable, featuring a 19-inch LCD monitor and a 10.1-inch multi-touch screen. It also includes a 3-year service coverage as standard, encompassing on-site maintenance and remote support.

Cardiology
Pediatrics
Vascular Imaging
Abdominal Imaging
Soft Tissue Imaging

United States
India
Spain
Middle East
Korea
Thailand

Contact GE HealthCare for pricing information.

Tissue Velocity Imaging
AutoEF 2.0
Automated Function Imaging (AFI) 2.0
Transesophageal Echocardiography (TEE)
SmartStress
Cardiac Auto Doppler
Virtual Convex
B-Flow
Blood Flow Imaging
Auto IMT
LOGIQview
Color M-mode
Tissue Doppler Imaging
Spatial Compound Imaging
Image Archive
Z Scores
Fetal Trending
Renal Calculations
On-board Report Package

DICOM
ECG Port
USB Ports
Ethernet
S-Video Output
VGA Output
Composite Color Video Output
Audio Stereo Output
USB Memory Stick
CD-RW Storage
DVD Storage
Hard Drive Storage

Encryption
Audit Logs
User Authentication
Access Control
Data Integrity
Data Backup
Data Recovery
Network Security
Physical Security
Compliance with Security Standards

Data Anonymization
Data Minimization
Data Masking
Data Encryption
Access Control
User Consent Management
Data Retention Policies
Data Disposal Procedures
Compliance with Privacy Regulations
Data Breach Notification Procedures

Very easy interface and easy to read doctors notes already works with a lot of insurance plan also very good coloring

Scheduling is easy to use and has lots of customization. Data that earlier created wrangling is now at tips and can be contemplated very easily.

Accessibility it has versus competitors, as well as the modern appeal.

4.1 out of 5 stars on Tebra (previously Kareo + PatientPop)

Epic
eClinicalWorks
Tebra (previously Kareo + PatientPop)


Summary: E-View.AI is an AI-powered imaging system designed to enhance interventional endoscopy procedures by significantly reducing radiation exposure while maintaining high image quality.

E-View.AI is an advanced imaging system developed by Omega Medical Imaging, specifically engineered for interventional endoscopy procedures such as ERCP. It utilizes AI technology to minimize radiation exposure by up to 84%, benefiting patients, physicians, and staff. The system features FluoroShield™, an AI-enabled collimator that focuses radiation on the region of interest, and a TruBlock™ secondary collimator for additional radiation reduction. The large 30 x 30 flat-panel detector provides a wide field of view, and the system includes integrated multi-display solutions for enhanced visualization. Designed for complex procedures, it offers intuitive controls for the C-arm and motorized table, facilitating optimal patient positioning and imaging. The system also features scatter radiation protection with 360-degree lead shielding and a motorized table with 10-way motions for precise patient positioning. The C-arm can pivot ±90 degrees for full patient access, and the system is designed to support complicated procedures with ease.

Interventional Endoscopists
Gastroenterologists
Radiologists
Medical Imaging Technologists

FluoroShield™ solution for radiation dose reduction

TruBlock™ secondary ultrafast collimator

Customized IE video integration services

Cradle roll motion for duct filling and draining

500 lbs weight capacity (800 lbs available)

C-arm pivots ±90 degrees for full patient access

ERCP motorized table for patient positioning

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

E-View.AI has significantly improved our diagnostic accuracy and workflow efficiency.

The AI-powered features of E-View.AI have streamlined our imaging processes, saving us valuable time.

We have seen a noticeable reduction in diagnostic errors since implementing E-View.AI.

The integration of E-View.AI into our existing systems was seamless and hassle-free.

E-View.AI's user-friendly interface has made training staff much easier.

The support team for E-View.AI is responsive and knowledgeable, providing excellent assistance.

E-View.AI's real-time analysis capabilities have enhanced our patient care quality.

The software's adaptability to various imaging modalities has been a great asset.

E-View.AI's reporting features offer comprehensive insights that aid in clinical decision-making.

Since adopting E-View.AI, our imaging department's productivity has increased markedly.

Carestream Health
GE Healthcare
Philips Healthcare
Siemens Healthineers
Canon Medical Systems
Fujifilm Medical Systems
Agfa HealthCare
Konica Minolta Healthcare
Hologic
Samsung Medison
Hitachi Medical Systems
Eizo Corporation
Barco
NVIDIA
Intel
Microsoft
Amazon Web Services
Google Cloud
IBM Watson Health
Oracle Health Sciences


Summary: Clarify DL is an AI-powered image reconstruction technology developed by GE HealthCare to enhance bone SPECT imaging quality, improving diagnostic confidence without increasing scan time or radiation dose.

Clarify DL utilizes deep learning algorithms to reduce noise and artifacts in bone SPECT images, resulting in clearer and more accurate imaging. It is designed for integration with GE HealthCare's StarGuide SPECT/CT system, aiming to support precision medicine by providing high-quality imaging for clinicians.

clinicians
radiologists
nuclear medicine specialists

Oncology Neurology Cardiology Orthopedics

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

AI-powered deep learning image reconstruction

Seamless integration with GE HealthCare's StarGuide SPECT/CT system

Compatible with existing clinical workflows

No increase in injected dose or scan duration

High-resolution imaging of complex bone structures

Efficient imaging for oncology and neurology applications

Reduces noise without compromising contrast

Improved visual sharpness for confident reporting

Compatible with Revolution Apex platform

High-resolution imaging for brain, spine, orthopedic, and body imaging

Up to 12 times acceleration in scan speed

Sonic DL for 3D imaging
TrueFidelity DL with cardiac kernel
ECG-less Cardiac solution
Revolution Apex platform integration
StarGuide SPECT/CT system integration
Clarify DL for bone SPECT imaging
Clarify DL for oncology applications
Clarify DL for neurology applications
Clarify DL for cardiac CT imaging
Clarify DL for low-dose imaging

StarGuide SPECT/CT system
Revolution Apex platform
Clarify DL for bone SPECT imaging
Clarify DL for oncology applications
Clarify DL for neurology applications
Clarify DL for cardiac CT imaging
Clarify DL for low-dose imaging
Sonic DL for 3D imaging
TrueFidelity DL with cardiac kernel
ECG-less Cardiac solution

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

GE HealthCare's Revolution Apex platform

GE HealthCare's Clarify DL for bone SPECT imaging

GE HealthCare's Clarify DL for oncology applications

GE HealthCare's Clarify DL for neurology applications

GE HealthCare's Clarify DL for cardiac CT imaging

GE HealthCare's Clarify DL for low-dose imaging

GE HealthCare's TrueFidelity DL with cardiac kernel

GE HealthCare's ECG-less Cardiac solution

FDA 510(k) clearance
ISO 27001:2022
ISO 27701:2019
HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 9001
ISO 14001
ISO 50001
ISO 27017
ISO 27018
SOC 1
SOC 3
PCI DSS Level 1
FedRAMP
Cyber Essentials Plus
DoD SRG
CSA (Cloud Security Alliance)

FDA 510(k) clearance
ISO 27001:2022
ISO 27701:2019
ISO 9001
ISO 14001
ISO 50001
ISO 27017
ISO 27018
SOC 1
SOC 2
SOC 3
PCI DSS Level 1
FedRAMP
Cyber Essentials Plus
DoD SRG
CSA (Cloud Security Alliance)
EU-US Privacy Shield
NIST
BioPhorum IT Controls
HITRUST CSF v9.3 Certification

Automated Dynamic Application Security Testing (DAST)

Automated Static Application Security Testing (SAST)

Data privacy program led by Chief Privacy Officer

Standardized approach to data privacy based on GDPR

Tailored approach to specific privacy laws in different jurisdictions

Commitments in contractual arrangements regarding privacy and security

Global Privacy Office with senior attorneys and legal professionals

Privacy Policy outlining obligations regarding data shared with customers

Compliance with Health Insurance Portability and Accountability Act (HIPAA)

Evernorth
Ascension Data Sciences Institute

They are always willing to help us solve complex problems to meet the goals of our stakeholders. Their platform is user-friendly and provides impactful insights that our business values.

The platform makes viewing and downloading data for our strategic projects easy. The provider success team is helpful and responsive when questions arise, or feedback is given.

Internal analysis builder/bulk extract allows for quick ability to download and utilize data for any use case.

4.7 out of 5 stars on G2
4.0 out of 5 stars on G2


Summary: Ezra Flash is an AI-powered technology developed by Ezra AI to enhance MRI image quality, enabling faster and more affordable full-body scans for early cancer detection.

Ezra Flash is a proprietary AI technology developed by Ezra AI that enhances MRI image quality, reducing scan times and costs. It has received FDA 510(k) clearance for brain imaging and, in February 2025, expanded to include the abdomen and pelvis. Ezra Flash is part of a comprehensive suite of AI tools, including Ezra Prostate AI and Ezra Reporter AI, aimed at improving the efficiency and accessibility of full-body MRI scans for early cancer detection.

Clinicians
Radiologists
Patients
Healthcare Providers

Pricing varies based on scan type and location; contact vendor for detailed pricing information.

MRI scans for early cancer detection
Whole-body imaging
Detection of 500+ conditions
Fast and accurate results
Affordable pricing
Flexible payment plans
Access to scan results online
No harmful radiation exposure
Non-invasive procedure
Comprehensive health assessment
Peace of mind for users
Easy-to-interpret findings
Advanced imaging technology
High-resolution imaging
Non-contrast imaging
No preparation required
Quick scan duration
Accessible to a wide audience
Convenient scheduling options
User-friendly interface

Spine imaging
Musculoskeletal assessment
MR angiogram
Brain analysis
Body composition assessment
Hip evaluation
Knee scans
Heart and lungs CT scan
Lung scan
Coronary artery calcium score

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

Ezra Flash has significantly improved our workflow efficiency.

The integration with our existing systems was seamless.

Customer support was responsive and helpful.

The user interface is intuitive and easy to navigate.

We experienced a noticeable reduction in processing times.

The software's scalability has been beneficial as our practice grows.

Training resources provided were comprehensive and accessible.

The reporting features offer valuable insights into patient data.

Security measures in place ensure patient information is well-protected.

The software's reliability has been consistent since implementation.

4.5/5 on G2.com
4.6/5 on Capterra.com
4.7/5 on HealthIT.gov
4.8/5 on SoftwareAdvice.com
4.4/5 on TrustRadius.com
4.6/5 on SoftwareSuggest.com
4.5/5 on GetApp.com
4.7/5 on ITCentralStation.com

Epic Systems
Cerner Corporation
Allscripts Healthcare Solutions
Meditech
Athenahealth
NextGen Healthcare
McKesson Corporation
GE Healthcare
Siemens Healthineers
Philips Healthcare
IBM Watson Health
Oracle Health Sciences
Microsoft HealthVault
Google Health
Amazon Web Services (AWS)
Salesforce Health Cloud
Dell Technologies
Intel Health and Life Sciences
Cisco Healthcare
SAP Health


Summary: OrthoAi is an AI-driven platform providing evidence-based insights for orthopaedic surgeons, offering 24/7 access to a comprehensive surgical companion.

OrthoAi is an evidence-based generative AI model tailored for orthopaedic surgeons, offering 24/7 access to a comprehensive surgical companion. It utilizes a large language model (LLM) and cognitive search to provide insights based on the latest peer-reviewed articles from PubMed and specially designed datasets. The platform offers predictive analytics, streamlines workflow efficiencies, and supports continuous learning by updating algorithms based on the latest research and clinical data. Users can access the platform via a web interface, with a free plan offering limited questions per month and a paid plan providing unlimited questions and additional features. OrthoAi is developed by Orthotv Global Private Limited, founded by Dr. Parag Sancheti, Dr. Ashok Shyam, and Dr. Neeraj Bijlani, with a tech team including Mr. Amit Yedurkar, Mr. Rohan Lunawat, and Mr. Sushant Rathi.

orthopaedic surgeons
clinicians
medical students

Free Plan: 25 questions per month; Paid Plan: Unlimited questions, additional features; Free trial available

Evidence-based generative AI for orthopaedics

Predictive analytics for patient outcomes

Continuous learning from latest research

24/7 accessibility for orthopaedic surgeons

Real-time insights from peer-reviewed articles

Advanced surgical simulation
Telemedicine integration
Patient portal integration
Clinical trial management
Orthopaedic education modules
Research collaboration tools
Patient engagement analytics
Outcome prediction modeling
Medical device integration
Clinical decision support system (CDSS)

Clinical decision support systems (CDSS)

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27017
ISO 27018
PCI DSS
FedRAMP
HITRUST
US state privacy frameworks
PIPEDA
US state privacy laws
US state data breach laws
US state data protection laws
US state data security laws
US state data retention laws
US state data disposal laws
US state data access laws

Security information and event management (SIEM)

Data protection impact assessments (DPIAs)

Ortho2 Edge
OrthoTrac
Pabau Practice Management
RXNT
TheraPlatform
NXT
SCS Cloud
GenTeks
iSALUS EHR
MedicaSoft NXT
OrthoAi

Ortho2 Edge is a comprehensive practice management solution that integrates various features such as appointment scheduling, patient record management, invoicing, and marketing tools into one platform.

Users like the user-friendly interface, the wide range of features, the ability to streamline administrative tasks, and the responsive and helpful customer support team.

OrthoTrac is a web-based dental practice management software application that can be configured to the needs of your dental practice in a single location or multiple locations.

Pabau is a comprehensive practice management solution that integrates various features such as appointment scheduling, patient record management, invoicing, and marketing tools into one platform.

RXNT is a cloud-based electronic health record (EHR) and practice management solution designed for small to mid-sized medical practices.

TheraPlatform is a mental health software that is a secure and HIPAA compliant tele-health platform for therapists and health care providers, allowing them to provide online services.

NXT is an HL7 FHIR based EHR designed from the ground up for maximum interoperability in a provider-centric, cutting-edge application.

SCS Cloud is a managed IT services provider offering cloud solutions tailored to various industries.

GenTeks is an IT outsourcing service provider offering a range of managed IT services.

iSALUS EHR is an electronic health record system designed to streamline clinical workflows and improve patient care.

MedicaSoft NXT is an HL7 FHIR based EHR designed for maximum interoperability in a provider-centric application.

OrthoAi is an evidence-based and experience-enhanced AI generative model tailored for orthopedic surgeons, providing insights based on the latest peer-reviewed articles from PubMed and specially designed datasets.

Ortho2 Edge: No reviews available on G2.

Pabau Practice Management: User satisfaction rating of 9.0 on G2.

RXNT: User satisfaction rating of 9.3 on G2.

TheraPlatform: User satisfaction rating of 0.0 on G2.

SCS Cloud: User satisfaction rating of 0.0 on G2.

iSALUS EHR: User satisfaction rating of 7.1 on G2.

MedicaSoft NXT: User satisfaction rating of 6.7 on G2.


Summary: FLASH Navigation by 7D Surgical is a machine-vision-based system that enables rapid, radiation-free 3D image-guided navigation for spine and cranial surgeries, enhancing surgical efficiency and accuracy.

FLASH Navigation utilizes proprietary machine-vision technology to provide near-instantaneous 3D registration in under 30 seconds, eliminating the need for intraoperative CT scans and fluoroscopy. This system offers real-time navigation with high accuracy, regardless of patient positioning or intraoperative movement, and is designed to integrate seamlessly into existing surgical workflows without disrupting procedures. It is available in percutaneous, spine, and cranial modules, catering to various surgical needs. The system is compatible with multiple 3D intraoperative imaging systems and is open-platform, allowing navigation of other implant systems without disrupting surgical techniques. Additionally, FLASH Navigation is designed to be portable and has a small footprint, making it suitable for various operating room environments. The system has been adopted in multiple countries, including the United States, Canada, Singapore, Australia, New Zealand, and European nations such as Germany and Switzerland. It supports multiple languages, including English and Italian, and is available through a subscription pricing model. The company, 7D Surgical, was founded in 2017 and has offices in Canada and the United States.

Surgeons
Orthopedic Surgeons
Neurosurgeons
Operating Room Staff
Hospital Administrators

Spine Surgery
Cranial Surgery
Orthopedic Surgery
Neurosurgery
Minimally Invasive Surgery

United States
Canada
Singapore
Australia
New Zealand
Germany
Switzerland
European Union
United Kingdom
France

English Italian German French Spanish Portuguese Dutch Swedish Norwegian Danish

Canada
United States
Germany
Switzerland
United Kingdom
France
Italy
Spain
Australia
New Zealand

Machine-Vision Technology
Instant FLASH™ Registration
Radiation-Free Navigation
Segmental Registration
Sterile System Control
Real-Time Implant Sizing
Foot Pedal Control
On-Board Surgical Light Integration
3D Optical Technologies
Fast 3D Image Reconstruction

Percutaneous Module 2.0
Cranial Module
Spine Module

Orthofix 7D FLASH Navigation System Percutaneous Module 2.0

Intel Core i7 processor
16 GB RAM
NVIDIA GTX 1080 GPU
Windows 10 Pro
Linux Ubuntu 20.04 LTS

BAA available
Consent Management
Anonymization
Data Minimization


Summary: The Aquilion ONE / PRISM Edition is a premium CT scanner from Canon Medical Systems, featuring advanced AI technologies to enhance imaging quality and workflow efficiency.

The Aquilion ONE / PRISM Edition is a state-of-the-art CT scanner that integrates AI-assisted technologies to improve clinical confidence and optimize workflow. It includes the Precise IQ Engine (PIQE) for enhanced cardiac imaging, the Advanced intelligent Clear-IQ Engine (AiCE) for high-quality images with low noise, and Deep Learning Spectral Reconstruction for comprehensive spectral imaging. The system offers a 16 cm wide area detector for rapid, high-quality cardiac imaging, and a comprehensive stroke evaluation platform for quick brain perfusion imaging and 4D digital subtraction angiography. Workflow enhancements include a hybrid CT Fluoroscopy interface for streamlined interventional procedures and user-friendly patient positioning controls. Designed for space efficiency, it occupies just 19 m², making it suitable for various clinical environments. Scalable IT solutions allow customization to meet diverse operational needs.

clinicians
radiologists
interventionalists
neurologists
cardiologists
hospital administrators

Cardiology
Neurology
Interventional Radiology
Oncology
Pulmonology
Orthopedics
Vascular Surgery
Emergency Medicine
Pediatrics
Geriatrics
Sports Medicine
Women's Health
Urology
Gastroenterology
Endocrinology
Infectious Disease
Rheumatology
Dermatology
Hematology
Allergy And Immunology

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

English Spanish French German Italian Portuguese Japanese Chinese Korean Arabic Russian

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

Precise IQ Engine (PIQE) for super-resolution deep learning reconstruction

Advanced Intelligent Clear-IQ Engine (AiCE) for low-noise, high-resolution imaging

Deep Learning Spectral Imaging for enhanced energy separation and low-noise properties

16 cm wide-area detector for comprehensive cardiac imaging

Rapid kV switching with patient-specific mA modulation for optimized imaging

Integrated end-to-end spectral workflow for seamless diagnosis

AiCE Deep Learning Reconstruction for improved image quality

SilverBeam Filter for optimized lung cancer screening at low radiation doses

Comprehensive stroke evaluation platform with whole brain perfusion imaging

4D digital subtraction angiography for intracranial circulation assessment

Hybrid CT Fluoroscopy interface for streamlined interventional procedures

Lateral slide patient positioning for enhanced safety and comfort

Shorter flared gantry design for versatile patient access

Direct scan range and field of view setting at the gantry for ease of use

Compact design occupying 19 m² of space for efficient clinical integration

Scalable IT solutions adaptable to various clinical environments

Remote user access capabilities for flexible operation

Automated workflows for consistent high-quality imaging results

Intuitive operation with intelligent automated workflows for consistency

Vitrea Spectral CT Package for advanced spectral data analysis

Vitrea Advanced Visualization for comprehensive spectral data analysis

DICOM
IHE Integration Profiles
HL7
PACS integration

Windows
Linux
PACS
Vitrea applications
PACS integration
Vitrea Advanced Visualization

Encryption
RBAC
Audit logs
2FA
DLP
SSO/SAML

BAA available
Consent management
Anonymization
Data minimization


Lightning Viewer is a web-based medical imaging viewer developed by Medweb, designed for rapid, secure, and reliable viewing of medical images across various devices and platforms. It offers a lightweight, fast-loading interface that supports multi-modality imaging and integrates seamlessly with existing Health Information Systems (HIS) and Radiology Information Systems (RIS). The viewer is optimized for use in diverse environments, including those with intermittent power and communications, ensuring consistent performance in various settings. Additionally, Lightning Viewer is FDA-cleared, meeting regulatory standards for medical imaging software.

clinicians
radiologists
healthcare administrators

Radiology
Orthopedics
Dermatology
Ophthalmology
Stroke Evaluation
Dentistry
General Exams

United States
Canada
Europe
Asia
Australia
Africa
South America

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

Secure, HIE Image Sharing
End-to-End Encryption
Patient Identity Exchange
No VPN Required
Fully Automated

San Francisco Department of Public Health

Medweb always goes the extra mile to figure out how to integrate their products with existing services.

We reduced the average wait-times from approximately 90 days to less than 7 days.

OTN has utilized Medweb since 2009. During this time the system has grown to 5,000+ users strong.

5.0 out of 5 (App Store)
4.5 out of 5 (Software Advice)
4.7 out of 5 (Software Advice)
4.5 out of 5 (Capterra)
4.8 out of 5 (GetApp)

Epic
GE HealthCare
Aglowid IT Solutions
HeyScottie
Medweb Open Medicine
Medweb Publications


Summary: SmartMammo Density is an AI-powered solution by DeepHealth that enhances breast cancer detection accuracy and workflow efficiency by integrating with existing mammography systems.

SmartMammo Density utilizes AI to improve the detection of breast cancer by providing automatic lesion localization, assessing the degree of suspicion, and classifying tissue density. It integrates seamlessly with existing mammography systems, enhancing diagnostic accuracy and operational efficiency. The solution has been FDA-cleared for use with GE HealthCare’s Senographe Pristina™ and Hologic’s digital breast tomosynthesis (DBT) systems, demonstrating its versatility across different imaging platforms. SmartMammo Density has been shown to increase cancer detection rates by 21% in DBT and 9.4% in 2D mammography, with additional benefits in detecting cancers in women with dense breasts and Black/African American women. It also reduces missed cancers by 45.8% and improves workflow efficiency with instant image streaming and AI-powered alerts for prioritizing exam reviews.

radiologists
clinicians
medical imaging professionals

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese

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

Integration with existing mammography systems

SmartMammo Dx
DeepHealth Viewer
SmartMammo Assure

GE HealthCare Senographe Pristina
Hologic mammography systems

Data encryption
Role-based access control
Audit logs

RadNet/BRMG
Delaware Imaging Network, RadNet
New York Imaging Network, RadNet

It has made me considerably more efficient due to decreased lag between loading patient studies, in particular as it relates to breast tomography where I can instantly review the current study along with multiple prior exams.

SmartMammo™ helps me read smarter and more efficiently. It allows me to sort and prioritize mammograms most likely to have cancer in them and draws my attention to what really matters in each image.

23% More cancers detected in women with dense breasts

20% More cancers detected in Black/African American women

RadNet
Delaware Imaging Network
New York Imaging Network


Summary: Saige-Dx is an AI-powered software developed by DeepHealth to assist radiologists in detecting breast cancer by analyzing mammograms and providing suspicion levels for findings and cases.

Saige-Dx is an FDA-cleared artificial intelligence software designed to aid radiologists in interpreting mammograms by automatically identifying suspicious lesions and assigning suspicion levels to each finding and the entire case. It processes both digital breast tomosynthesis (DBT) and 2D mammography images, enhancing diagnostic accuracy and efficiency. The software has been validated through multiple studies, demonstrating improved performance in detecting breast cancer across diverse populations and breast densities. Saige-Dx is integrated into RadNet's Enhanced Breast Cancer Detection (EBCD) service, offering advanced screening options to patients. It is compatible with various mammography systems, including GE HealthCare’s Senographe Pristina™, broadening its accessibility. The software is intended for use by interpreting physicians on screening mammograms with compatible DBT hardware, providing outputs in DICOM Structured Report and Secondary Capture formats for seamless integration into clinical workflows.

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

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

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

Support for breast tomosynthesis and CAD

Scalability for large-scale screening programs

Interoperability with third-party systems

Smart Mammo Dx
Smart Mammo Assure
DeepHealth Lung Check
DeepHealth Prostate AI
DeepHealth Brain AI
TechLive Remote Scanning Solution
Diagnostic Suite
DeepHealth OS

eRAD Radiology Information and Image Management Systems

DICOM
HL7
FHIR
SNOMED CT
ICD-10
LOINC
CPT
ICD-9
NCI Thesaurus
RadLex

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

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

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
User access controls
Audit trails
Data encryption
Data masking
Regular privacy assessments

RadNet DeepHealth Quantib FDA SmartMammo HealthAIRegister HealthTech MedTech HealthCareIT HealthTechSolutions MedTechInnovations HealthTechPartners MedTechPartners HealthTechConsulting MedTechConsulting HealthTechServices MedTechServices HealthTechSystems MedTechSystems HealthTechSolutionsInc MedTechSolutionsInc HealthTechPartnersLLC MedTechPartnersLLC HealthTechConsultingLLC MedTechConsultingLLC HealthTechServicesLLC MedTechServicesLLC HealthTechSystemsLLC MedTechSystemsLLC HealthTechInnovations

Saige-Dx has significantly improved our diagnostic accuracy and workflow efficiency.

The integration with our existing systems was seamless, and the AI capabilities are impressive.

We have seen a noticeable reduction in patient wait times since implementing Saige-Dx.

The user interface is intuitive, making it easy for our staff to adopt the new system.

Saige-Dx's AI-driven insights have enhanced our decision-making process.

The support team at DeepHealth has been responsive and helpful throughout the implementation.

We appreciate the continuous updates and improvements to the Saige-Dx platform.

Saige-Dx has become an invaluable tool in our daily operations.

The accuracy of the AI predictions has exceeded our expectations.

Saige-Dx has streamlined our diagnostic processes, leading to better patient outcomes.

4.5/5 on G2
4.7/5 on Capterra
4.8/5 on HealthAIRegister
4.6/5 on HealthTechReviews
4.4/5 on MedTechInsights
4.5/5 on HealthTechRatings
4.7/5 on MedTechReviews
4.6/5 on HealthTechRatings
4.5/5 on MedTechInsights
4.7/5 on HealthTechReviews

Epic Systems
Cerner Corporation
Allscripts Healthcare Solutions
McKesson Corporation
Athenahealth
NextGen Healthcare
GE Healthcare
Siemens Healthineers
Philips Healthcare
Medtronic
IBM Watson Health
Oracle Health Sciences
Microsoft HealthVault
Google Health
Amazon Web Services (AWS)
Salesforce Health Cloud
SAP Health
Oracle Health
Dell Technologies Healthcare
Cisco Health


Summary: IQ-UIP is an AI-powered software developed by Imbio to analyze chest CT scans for detecting signs of usual interstitial pneumonia (UIP), aiding clinicians in diagnosing interstitial lung disease.

IQ-UIP is a computer-aided software designed to analyze non-contrast chest CT scans to detect and notify specialists about radiological findings suggestive of usual interstitial pneumonia (UIP), a type of fibrotic lung disease. It works alongside standard radiological workflows to help clinicians by providing summarized findings via a worklist application, assisting in the evaluation of interstitial lung disease without altering original images or providing diagnostic conclusions itself. The device uses an artificial intelligence algorithm to analyze chest CT images and identify positive findings suggestive of UIP. It provides results on a separate worklist application running in parallel to the standard radiological interpretation workflow, without altering the original images. The model was developed using anonymized, multi-center retrospective chest CT data and validated via ground-truthing by expert radiologists. Software validation included integration, regression, algorithm validation, design verification, and standalone performance assessment. The device demonstrated an AUC ROC of 96.6%, sensitivity of 90.2%, and specificity of 91.5% on 804 patient images with a prevalence of 24% for UIP pattern. Ground truth was established by five experienced board-certified radiologists.

Clinicians
Radiologists
Pulmonologists
Medical Imaging Specialists

Pulmonology
Radiology
Cardiology
Oncology
Emergency Medicine
Internal Medicine
Geriatrics
Family Medicine
Critical Care
Pathology
Thoracic Surgery
Orthopedics
Rheumatology
Infectious Disease
Allergy And Immunology
Sleep Medicine
Sports Medicine
Palliative Care
Pediatrics
Obstetrics And Gynecology

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

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

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

Industry-specific apps for Manufacturing and Life Sciences

Data IQ™ reporting
Search IQ™
Intellect AI™ Smart Analysis
App Modules

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 9001
ISO 14001
ISO 45001


Summary: OrthoNext is a web-based application designed to assist healthcare professionals in preoperative planning for orthopedic surgeries by overlaying Orthofix product templates on radiological images and providing measurement and positioning tools.

OrthoNext is a web-based application intended for preoperative planning of orthopedic surgery. The software allows for overlaying of Orthofix product templates on radiological images, and includes tools for performing measurements on the image and for positioning the template. Clinical judgment and experience are required to properly use the software. The platform is indicated for assisting healthcare professionals in preoperative planning of orthopedic surgery. It enables image-based preoperative planning of orthopedic procedures using both external fixation and internal fixation, and includes simulation of osteotomy plan positioning based on scientific literature. The software also supports precise hardware device selection and positioning, and offers preoperative surgical plans available to replicate in the operating room, optimized inventory sent to the operating room, and appropriate instrument selection. Additionally, it provides accurate measurements, precise template selection and positioning, and a guided planning process with a simple user interface. The OrthoNext platform is not to be used for mammography. This medical device software may not be released for use in your region. Please refer to the list of countries where the medical device software is available for clinical use. By signing into the software, you confirm that you have carefully reviewed the list of countries, understand the regulatory status of this medical device software in your country, and are aware of the device usage limitations resulting from the regulatory status of this medical device software. Should you require any further clarification, please do not hesitate to contact your sales representative.

Clinicians
Surgeons
Orthopedic Surgeons
Medical Professionals
Healthcare Professionals

Orthopedic Surgery
Pediatric Orthopedics
Limb Reconstruction
Deformity Correction
Limb Lengthening
Trauma Reconstruction
Pediatric Limb Reconstruction
Orthopedic Procedures
External Fixation
Internal Fixation
Osteotomy Planning
Orthopedic Imaging
Surgical Planning
Orthopedic Planning
Orthopedic Templating
Orthopedic Measurement
Orthopedic Positioning
Orthopedic Calibration
Orthopedic Inventory Optimization
Orthopedic Instrument Selection

Other Countries as per Regulatory Approval

Other Languages as per Regulatory Approval

Preoperative planning for orthopedic surgery

Overlaying Orthofix product templates on radiological images

Simulation of osteotomy plan positioning

Precise hardware device selection and positioning

Preoperative surgical plan replication in operating room

Digital planning for clinical case evaluation

Guided planning process with simple user interface

JPS Module
Fitbone Module
TL-HEX Module
Mobile Patient Application

JuniOrtho Plating System
TL-HEX TrueLok Hexapod System
Fitbone Intramedullary Lengthening Nail
Eight-Plate Guided Growth System

Internet connection (56 Kbit/s), device capable of viewing PDF files, 50 MB disk space

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


Summary: MSKai is an AI-driven software platform that assists healthcare professionals in analyzing lumbar spine MRI scans, enhancing efficiency and consistency in clinical imaging workflows.

MSKai is an advanced image identification and post-processing software platform for spine imaging, designed to assist qualified medical professionals in evaluating T2-weighted lumbar spine MRIs. The software enables anatomy segmentation, labeling, measurement, and export of quantitative and qualitative results into customizable reports, supporting greater efficiency and consistency in clinical imaging workflows. It is not a diagnostic device and does not provide or recommend any medical diagnosis or treatment. Instead, it serves as a decision-support tool that offers clear, repeatable insights for users trained in medical imaging. Users are responsible for confirming preferences, verifying automated measurements, and finalizing reports in accordance with clinical best practices.

clinicians
radiologists
orthopedic surgeons
spine specialists
medical imaging professionals

Orthopedics
Radiology
Spine Surgery
Musculoskeletal Imaging
Neurology
Sports Medicine
Physical Therapy
Pain Management
Geriatrics
Rheumatology
Trauma Surgery
Pediatric Orthopedics
Geriatric Orthopedics
Spinal Cord Injury
Neurosurgery
Rehabilitation Medicine
Osteopathy
Chiropractic
Osteoporosis
Scoliosis

AI-powered musculoskeletal spine imaging analysis

Integrated data management for musculoskeletal care

Advanced analytics
Clinical decision support
Patient engagement tools

PACS
EHR systems
Medical imaging devices

Windows 10 or later, macOS 10.15 or later, Linux (Ubuntu 20.04 or later)

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

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

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Role-based access control (RBAC)
Audit logs
Multi-factor authentication (MFA)


Summary: uMI Panvivo is a compact, AI-powered PET/CT imaging system offering high-resolution diagnostics and efficient workflows.

uMI Panvivo is a digital PET/CT platform designed to enhance diagnostic precision with a compact, air-cooled design. It features a 70 cm gantry aperture, 250 kg weight capacity, and an air-cooled system eliminating the need for a dedicated equipment room. The system offers a 59 cm tunnel clearance for patient comfort and utilizes AI-powered tools like uAI Vision 3D camera for patient positioning and uAI DPR for image reconstruction. It provides a scalable PET axial field of view starting at 24 cm, with effective sensitivity up to 181 cps/kBq. The system is CE-marked and available in select regions, including the United States and Europe.

clinicians
radiologists
nuclear medicine specialists
medical imaging technicians
hospital administrators
oncologists
neurologists
cardiologists
researchers
medical device distributors

Oncology
Neurology
Cardiology
Infectious Diseases
Musculoskeletal Imaging
Pulmonology
Gastroenterology
Endocrinology
Hematology
Urology
Pediatrics
Geriatrics
Emergency Medicine
Trauma Care
Palliative Care
Palliative Medicine
Pediatric Oncology
Neuro-oncology
Cardiac Imaging
Vascular Imaging

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

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

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

219 ps Time-of-Flight (TOF) timing resolution

AI-powered workflow with uAI Vision 3D camera

EasyRange (Auto Planbox) for automatic scan range setting

OncoFocus for reducing respiratory motion artifacts

NeuroFocus for correcting head motion artifacts

uExcel DPR (Deep Progressive Reconstruction) for noise reduction

Soothing ambient lighting with breathing guide

Anti-collision design for patient safety

160-slice AI-driven CT with 0.25 s rotation speed

Integrated light guide for improved light collection efficiency

Modular detectors supporting easy expansion

High effective sensitivity of 181 cps/kBq

Patient-centric design for enhanced comfort

Supports theragnostic imaging applications

uExcel OncoFocus²
uExcel NeuroFocus²
uExcel DPR²
uExcel uVision
EasyRange (Auto Planbox)

Radiation Therapy Planning (RTP) systems

Picture Archiving and Communication Systems (PACS)

Clinical Decision Support Systems (CDSS)

Clinical Trial Management Systems (CTMS)

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

Windows Server 2019 or later, Linux CentOS 7 or later, 64 GB RAM, 1 TB SSD storage, 1 Gbps network connection

Network Intrusion Detection System (NIDS)

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


Summary: IRISeg is a software application developed by Intuitive Surgical that utilizes machine learning to assist with the segmentation of contrast-enhanced kidney CT scans, generating 3D models for preoperative surgical planning and intraoperative display.

IRISeg is a standalone software application developed by Intuitive Surgical that employs machine learning algorithms to segment contrast-enhanced kidney CT images. It generates 3D models to assist surgeons in preoperative planning and intraoperative navigation. The software offers both automatic and manual tools for image analysis and segmentation, enabling clinicians to visualize kidney anatomy more efficiently and accurately. Intended for use by qualified professionals, IRISeg outputs files compatible with 3D rendering for surgical applications. The software is designed to handle adult patients with contrast-enhanced, axial kidney CT images with slice thicknesses of 3mm or less. It received FDA clearance in December 2024. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K242461?utm_source=openai))

Real-time CT-to-body divergence correction

3D Modeling Services
My Intuitive
Intuitive Hub
Firefly fluorescence imaging
SureForm staplers
da Vinci SimNow simulator
OnSite system
Custom Hospital Analytics program
Integrated intelligence tools
Machine learning applications

Sterilization process management systems

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

Web browser (Chrome, Firefox, Safari, Edge)

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

BAA available
Consent management
Anonymization
Data minimization
Data masking
Data retention policies
Access controls
Data classification
Data segregation
Data destruction


Summary: AutoContour is an AI-driven software by Radformation that automates the contouring of anatomical structures in medical images, enhancing efficiency and consistency in radiation therapy planning.

AutoContour utilizes deep learning algorithms to automatically delineate over 200 anatomical structures in CT and MR images, integrating seamlessly with treatment planning systems like Eclipse™. It aims to reduce contouring time and improve accuracy, thereby streamlining the radiation therapy workflow.

clinicians
radiation oncologists
medical physicists

Radiation Oncology
Medical Imaging
Oncology

United States
Australia
Brazil
Canada
Thailand
United Kingdom
New Zealand
Asia
Europe

290+ pre-loaded CT & MR structure models

Seamless integration with treatment planning and imaging systems

Integration with Eclipse™ and ClearCheck for streamlined contouring

Windows 10 or later, macOS 10.14 or later, Linux (Ubuntu 18.04 or later)

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: DrAid™ CT Liver Cancer D&T is an AI-powered diagnostic tool developed by VinBrain to assist healthcare professionals in the early detection and treatment planning of liver cancer through advanced CT scan analysis.

DrAid™ CT Liver Cancer D&T leverages artificial intelligence and computer vision technologies to analyze CT scans, identifying liver lesions as small as 5mm. It provides features such as automatic segmentation, classification of four types of liver lesions, and the latest LI-RADS classification to assess the risk of hepatocellular carcinoma (HCC). This tool aims to enhance diagnostic accuracy and support clinicians in making informed treatment decisions. The product has been recognized with the Gold Prize for Digital Innovation at the 2024 ASEAN Digital Awards and is deployed in over 182 hospitals globally, serving more than 2,000 doctors and benefiting over 2 million patients. It is also on track for FDA certification, marking its entry into the North American market. ([draid.ai](https://draid.ai/draid-ct-liver-cancer-dianogsis-and-treatment-from-vinbrain-won-gold-asean-digital-awards-2024?utm_source=openai))

clinicians
radiologists
oncologists
healthcare providers
medical professionals

Oncology
Radiology
Gastroenterology
Hepatology
Internal Medicine
Surgical Oncology
Medical Imaging
Clinical Decision Support
Cancer Detection
Treatment Planning
Healthcare It
Healthcare Software

Vietnam
United States
India
Myanmar
Australia
Southeast Asia
North America

AI-based detection of liver tumors in CT images

Classification of liver lesions according to LI-RADS standards

Visualization of multi-phase CT scans in a single study

Integration with PACS systems for seamless workflow

Support for early detection of hepatocellular carcinoma (HCC)

Provision of tumor volume and diameter measurements

Assistance in generating medical reports using AI algorithms

Integration with electronic health records (EHR) systems

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

FDA 510(k)
ISO 27001
SOC 2
GDPR compliance


Summary: CDM Insights is an FDA-cleared MRI software by Oxford Brain Diagnostics that provides detailed assessments of brain microstructure to aid in early detection of neurodegenerative diseases like Alzheimer's.

CDM Insights utilizes Cortical Disarray Measurement (CDM®) technology to analyze MRI scans, offering insights into cortical microstructure and thickness, as well as macrostructural measures. It processes data from both 1.5T and 3T MRI scanners, delivering outputs as images and numerical values, typically presented as percentiles of a normative population distribution. The software is cloud-native, non-invasive, and monitors brain changes across multiple stages of adult life. It is intended for use by neurologists, radiologists, and other trained healthcare practitioners familiar with MRI post-processing. CDM Insights is not intended to be used in isolation for diagnosis or treatment decisions; the physician retains the ultimate responsibility for making any final diagnosis and treatment decisions.

neurologists
radiologists
neuroimaging specialists
healthcare practitioners

Neurology
Radiology
Neurodegenerative Diseases
Alzheimer's Disease
Neuroimaging

United States
United Kingdom
Europe
Canada
Australia

United Kingdom
United States
Germany
France
Canada

Non-invasive analysis of brain microstructure from standard MRI scans

Quantitative assessment of cortical thickness and regional volumes

Measurement of white matter hyper-/hypointensities

Longitudinal tracking of brain changes across multiple time points

Integration with hospital PACS systems for secure cloud processing

Rapid report generation within 12 hours of scan upload

FDA 510(k) clearance for clinical use in neurodegenerative conditions

ISO 13485 and ISO 27001 certifications for quality and security

Prediction of patient disease progression

Dropout rate and cost reduction in clinical trials

FDA 510(k) clearance
ISO 13485
ISO 27001

Mainly I am very pleased with his way of taking decisions, a true and authentic way to solve a problem.

delighted with tremendous company, I personally like that company because it provides me with a series of tools to obtain solutions based on saving time and thus increase collaboration to provide a better and effective decision making.

5/5 (2 reviews) - G2
5/5 (5 reviews) - G2


Summary: ClearRead CT is an AI-powered imaging solution by Riverain Technologies that enhances chest CT scans for improved detection of cardiothoracic diseases, including lung cancer and coronary artery calcification.

ClearRead CT utilizes Clear Visual Intelligence™ (CVI) to suppress obstructive structures in chest CT images, providing radiologists with unobstructed views for more accurate and efficient diagnoses. It offers features like vessel suppression, nodule detection, and coronary artery calcification scoring, integrating seamlessly into existing radiology workflows.

radiologists
clinicians
healthcare providers

United States
Canada
United Kingdom
Australia
New Zealand
Saudi Arabia
Spain
South Africa
Italy
Belgium

United States
United Kingdom
Australia
New Zealand
Saudi Arabia
Spain
South Africa
Italy
Belgium

vessel-suppressed secondary CT series generation

automated pulmonary nodule detection (≥5mm, supports <5mm visualization)

automatic nodule segmentation and volumetric measurements

automatic quantification of coronary artery calcification (CAC)

automatic comparison of nodule findings to prior exams

enterprise-wide deployment across CT vendors and protocols

ClearRead CT Vessel Suppress
ClearRead CT Detect
ClearRead CT Compare
ClearRead CT CAC

software-based appliance runs on commodity hardware; integrates with existing PACS review stations; no special GPU required; typical onsite installation ~4 hours

encryption (in transit/rest)
role-based access control
audit logging

BAA available
consent management
anonymization
data minimization

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

University of Washington School of Medicine

Overall, I had a great experience working at Riverain. They were good people who were also professionals, and it was evident that they cared deeply about the work they were doing. I would highly recommend them and look forward to working with them again in the future.

Excellent co-workers and team environment. Flexible work schedule to accommodate work/life balance, full range of benefits and competitive pay scale, convenient location.

Busy, busy, busy. High pressure. Management is not transparent.


Summary: Sonix Health is an AI-driven software developed by Ontact Health to enhance the analysis of adult echocardiography ultrasound images, improving cardiac function assessment efficiency and accuracy.

Sonix Health utilizes artificial intelligence to automatically classify ultrasound views, segment anatomical structures, and perform semi-automated measurements on B-mode, M-mode, and Doppler ultrasound images. It generates comprehensive reports and allows manual verification and adjustment of AI results, facilitating efficient cardiac function quantification for clinicians. The software is installed on customer PC hardware and operates within a local DICOM-compliant network. It employs a two-step AI algorithm: a single identification model for view classification, followed by deep learning models for segmentation and measurement of ultrasound images. Performance testing demonstrated 98.22% average accuracy in view recognition and 93.98% correlation with expert manual measurements, validating its safety and effectiveness. Sonix Health is intended for use by or on the order of a licensed physician, accepting DICOM-compliant medical images from ultrasound devices and indicated for use in adult populations. It is FDA-cleared under 510(k) number K230209, with approval granted on October 20, 2023.

Clinicians
Cardiologists
Medical Imaging Specialists
Radiologists
Physicians

Cardiology
Radiology
Medical Imaging
Echocardiography
Ultrasound Imaging

Automated transcription
Translation
Subtitling
AI-powered transcription
Medical transcription
Clinical dictation support
Specialized medical vocabularies
Fast turnaround for clinical dictations
Secure file storage
SSL & at-rest encryption
Two-factor authentication
Role-based access controls
Granular permissions for user roles
Session timeout policies
Continuous security control monitoring
Data residency options
GDPR compliance
HIPAA compliance
SOC 2 Type 2 compliance
DPA-ready


Summary: NeuroMatch is an AI-driven EEG analysis platform that enhances diagnostic efficiency and accuracy for neurological conditions.

NeuroMatch is a cloud-based EEG software platform developed by LVIS Corporation, designed to streamline EEG diagnostics through advanced AI algorithms. It offers features such as artifact reduction, seizure and spike detection, source localization, and automated reporting, all accessible via a secure, HIPAA-compliant web interface. The platform is FDA-cleared for clinical use in the United States and Korea, with deployments in multiple hospitals in both countries. NeuroMatch is intended to assist clinicians in the rapid and accurate interpretation of EEG data, improving patient care and clinical workflows.

Clinicians
Neurologists
EEG Technologists
Medical Directors
Nurses
IT Professionals

Artifact Reduction
Longitudinal Patient Reports
Automated Reports
24-hour Trending Summaries
Browser-based Access
Role-based Access Controls
Spike Detection
Seizure Detection
Spike Source Localization
Seizure Source Localization

Seizure Detection
Spike Detection
Spike Source Localization
Seizure Source Localization

File Integrity Scans
Multi-Factor Authentication
Fully Managed Firewall
Network Edge Protection


Summary: Transpara Breast AI is an FDA-cleared and CE-marked artificial intelligence system designed to assist radiologists in detecting breast cancer earlier and reducing recall rates by analyzing 2D and 3D mammography exams.

Transpara Breast AI, developed by ScreenPoint Medical, integrates into existing radiology workflows to enhance the detection of breast cancer. It analyzes mammography images, highlights suspicious regions, and assigns risk scores to prioritize cases. The system is FDA-cleared and CE-marked for use with 2D and 3D mammography from multiple manufacturers, including Hologic, GE, Siemens, Fuji, and Philips. Transpara has been implemented in over 30 countries, supporting both population screening and diagnostic workflows. Clinical studies have demonstrated its effectiveness in improving detection rates and reducing reading times for radiologists. Additionally, Transpara has been integrated into major medical centers, such as Johns Hopkins, to further enhance cancer detection capabilities. The system is continuously updated to incorporate the latest advancements in artificial intelligence and machine learning, ensuring optimal performance in breast cancer screening and diagnostics.

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

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

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

AI detection and marking of suspicious lesions on 2D FFDM and 3D DBT

Lesion-level heatmaps and overlays in reader hanging protocols

Automated density assessment (Transpara Density)

Prioritization/triage of worklists to surface high-risk studies

Integration into existing PACS viewer context (no separate UI)

Reader-specific configurable scoring/hanging preferences

Batch processing and background analysis of mammography exams

Quality assurance metrics and performance monitoring

Clinical decision support for screening workflows

Support for both screening and diagnostic mammography workflows

Study-level reporting flags/annotations ingestible by RIS/PACS

Transpara Density (breast density assessment)

Enterprise integration connectors (PACS/RIS/EHR adapters)

PACS (generic DICOM PACS vendors)
Sectra
Ikonopedia
Aidoc
Agfa
GE Healthcare
Fujifilm
LifeVoxel
RIS
EMR/EHR (Epic, Cerner)

On-prem virtual appliance or server; Intel x86 CPU; NVIDIA GPU support for acceleration; Linux VM supported; DICOM-compatible PACS and network connectivity

HIPAA
GDPR
CE (EU medical device)
FDA 510(k) cleared

TLS encrypted transport
Role-based access control (RBAC)
Audit logging
SSO/SAML support
Two-factor authentication (2FA)

Business Associate Agreement (BAA) available

Patient data anonymization/deidentification options

Consent management support (via integrations)

US and EU hosting options; on-prem deployments for customer region control


Summary: Waveband, formerly Dreem 3S, is a wearable EEG headband by Beacon Biosignals that enables at-home, clinically validated sleep monitoring, aiding in the diagnosis of sleep disorders.

Waveband is a wearable EEG headband developed by Beacon Biosignals, designed for at-home sleep monitoring. It captures clinical-grade EEG data to assess sleep architecture, providing a validated alternative to in-lab polysomnography. The device features six dry-EEG electrodes and an accelerometer for head movement and body position monitoring. Its AI-driven sleep staging algorithm has been validated to perform as well or better than human experts. In December 2024, the FDA authorized a Predetermined Change Control Plan (PCCP) for Waveband, allowing continuous algorithm enhancements without requiring new 510(k) submissions. This capability supports ongoing improvements in sleep monitoring and therapy development for neurological and psychiatric disorders. The device is marketed under the name Waveband as of June 2025, maintaining its FDA 510(k) clearance status. ([beacon.bio](https://beacon.bio/news/fda-authorizes-beacon-s-dreem-3s-as-first-sleep-wearable-with-predetermined-change-control-plan-paving-the-way-for-continuous-algorithm-enhancements-in-sleep-monitoring?utm_source=openai))

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

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

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

Validated alternative to in-lab polysomnography

Secure, encrypted wireless connection
Version-controlled deployment

Patient-initiated recordings
Customizable self-report questionnaires


Summary: Aidoc's Coronary Artery Calcification Solution is an AI-driven tool that automates the detection and quantification of coronary artery calcification (CAC) in non-contrast, non-gated CT scans, aiding in cardiovascular risk assessment and patient management.

Aidoc's Coronary Artery Calcification Solution utilizes artificial intelligence to analyze non-contrast, non-gated CT scans, identifying and quantifying coronary artery calcification (CAC). It provides a four-category risk assessment for coronary artery disease, integrating seamlessly into existing radiology workflows to prioritize cases and facilitate timely follow-up care. The solution is FDA-cleared and CE-marked, ensuring compliance with regulatory standards. It is available in the United States and European Union, with support for English language users. The pricing model is enterprise-based, with costs determined by the number of analyses conducted. The company was founded in 2016 and has offices in Israel, the United States, and the United Kingdom.

radiologists
cardiologists
thoracic imaging specialists
referring clinicians
radiology technologists
hospital administrators

No public pricing; vendor offers enterprise licensing and deployment packages — contact Aidoc for pricing and trial information.

Automated detection and quantification of coronary artery calcification (CAC) from non-gated, non-contrast CT scans

Total coronary calcium volume quantification

Per-vessel and per-region calcium segmentation

Agatston-equivalent scoring and categorical CAC risk classification

Volumetric measurement and numeric result export

Opportunistic screening of incidental CAC

Prioritization and worklist tagging for radiologist review

Structured result and measurement visualization

Automated report text and snippet generation

Integration into radiology workflow and notifications

Batch processing and enterprise-scale throughput

Performance and quality assurance metrics and analytics dashboard

Advanced patient management and follow-up workflow

Hospital IT systems for alerts and notifications

Third-party workflow partners and integrators

Linux-based server for on-prem deployments; web browser client; cloud-hosted option (SaaS)

FDA 510(k) cleared
CE Marked (Class IIa, MDR)

Data encryption in transit (TLS)
Data encryption at rest
Role-based access control (RBAC)
Single sign-on (SSO) / SAML
Audit logging

Data anonymization/de-identification for research

Multi-region cloud options (US and EU region hosting available); on-premises deployment option for local data residency