Summary: Philips Radiography 7300 C is a ceiling-mounted digital radiography system designed to enhance efficiency and diagnostic confidence through AI-assisted workflows and high-quality imaging.

The Philips Radiography 7300 C is a ceiling-mounted digital radiography system that integrates AI-enabled Smart Workflow tools to streamline examinations and improve diagnostic accuracy. It features the Smart Collimation Thorax algorithm, which adjusts detector height and proposes collimation for each chest upright patient based on data from a 3D camera, reducing exam time by up to 35 seconds and potentially saving 20 minutes daily for medical teams. The system also includes the UNIQUE 2 image processing software, enhancing image contrast, reducing background glow, and improving homogeneity through noise reduction. Additionally, the Radiography 7300 C is designed with sustainability in mind, using 39% less energy than its predecessor, potentially saving up to 1,300 kWh per year, and incorporating responsibly sourced materials and proactive predictive maintenance.

clinicians
radiographers
medical technicians

United States
Europe
Asia
Middle East
Africa

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

Contact Philips for pricing information.

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

AI-assisted Smart Collimation Thorax
3D Camera for virtual overlays
UNIQUE 2 image processing
AEC Visualization
On-screen collimation
Height-adjustable table
Eleva Tube Head with LCD touch display
Large SkyPlate detector
Energy-efficient design
Sustainable materials
Proactive predictive maintenance
Responsible recycling
Flexible configuration options

DICOM
IHE Radiography Integration Statements
ProGrade
MicroDose

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

Business Associate Agreement (BAA)
Data Anonymization
Data Minimization
Consent Management


Summary: KardiaMobile 6L is a personal, FDA-cleared, six-lead ECG device that enables users to record detailed heart data in 30 seconds, facilitating early detection of arrhythmias and supporting remote monitoring.

KardiaMobile 6L is a portable, six-lead ECG device that captures comprehensive heart data in just 30 seconds. It detects six common arrhythmias, including atrial fibrillation, bradycardia, and tachycardia, providing users and healthcare professionals with detailed insights into heart health. The device is compatible with most smartphones and tablets, offering a user-friendly experience without the need for wires, patches, or gels. It is FDA-cleared and clinically validated, ensuring accurate and reliable results. KardiaMobile 6L is suitable for both personal use and clinical settings, supporting remote monitoring and telehealth applications. The device is available for purchase through AliveCor's official website and authorized retailers.

patients
clinicians
healthcare providers
biopharma companies
clinical research organizations
employers
healthcare systems

Cardiology
Telemedicine
Remote Patient Monitoring
Healthcare Technology

United States
Canada
United Kingdom
European Union
Australia
India
Japan
South Korea
Brazil
Mexico
South Africa
New Zealand
Singapore
Malaysia
Thailand
Philippines
Indonesia
Vietnam
Taiwan
Hong Kong

English
Spanish
French
German
Italian
Portuguese
Dutch
Swedish
Norwegian
Danish
Finnish
Polish
Russian
Chinese (Simplified)
Chinese (Traditional)
Japanese
Korean
Hindi
Arabic
Turkish

KardiaMobile 6L is priced at $129.00. A KardiaCare membership, which provides additional features such as advanced ECG analysis and cardiologist reviews, is available for $11.99 per month or $149.00 per year. A bundled package including KardiaMobile 6L and a one-year KardiaCare membership is available for $169.00. Pricing may vary by region and retailer. For the most current pricing information, please visit AliveCor's official website or authorized retailers.

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

Detection of atrial fibrillation (AFib), bradycardia, tachycardia, sinus rhythm with premature ventricular contractions (PVCs), sinus rhythm with wide QRS, and sinus rhythm with supraventricular ectopy (SVE)

Wireless connectivity via Bluetooth Low Energy

Compatibility with smartphones and tablets running iOS 10.3.3+ or Android 6.0+

Integration with KardiaPro web-based portal for remote monitoring

Integration with KardiaStation app for in-office ECG recording

Integration with Epic's App Orchard Marketplace for seamless EHR integration

Integration with GE Healthcare’s MUSE™ NX for EHR integration

Integration with AliveCor SDK for mobile app developers

Integration with AliveCor API for cloud-based data access

HITRUST Essentials 1-year (e1) certified

KardiaCare membership for additional arrhythmia detections

Epic
GE Healthcare’s MUSE™ NX
AliveCor SDK
AliveCor API
KardiaPro
KardiaStation
KardiaCare
KardiaRx
KardiaMobile 6L Max
KardiaMobile Card
KardiaBand
KardiaBand 2
KardiaBand 3
KardiaBand 4
KardiaBand 5
KardiaBand 6
KardiaBand 7
KardiaBand 8
KardiaBand 9
KardiaBand 10

HL7
FHIR
DICOM
SNOMED
ICD-10
LOINC
CPT
ICD-9
CPT II
HCPCS

HIPAA
SOC 2 Type 2
ISO 27001
HITRUST Essentials 1-year (e1)

FDA-cleared
CE marked
ISO 27001
SOC 2 Type 2
HITRUST Essentials 1-year (e1)

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

BAA available
Consent management
Anonymization
Data minimization


Summary: CINA-VCF Quantix is an AI-powered tool developed by Avicenna.AI to detect and assess unsuspected vertebral compression fractures in CT scans, aiding early diagnosis and proactive bone health management.

CINA-VCF Quantix is an AI-based solution that automatically detects and quantifies vertebral compression fractures in the thoracic and lumbar spine on CT scans performed for other clinical indications. It provides automated intra- and inter-vertebral height loss calculations, vertebral labeling, color coding by Genant grade, and mean Hounsfield Unit measurement. This tool is currently available only in Europe.

radiologists
clinicians
healthcare professionals

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

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

Automated detection of vertebral compression fractures (thoracic & lumbar) from routine chest/abdominal CT

Automated intra- and inter-vertebral height loss calculation

Vertebral labeling (level identification)

Genant grading and color-coded visualization

Mean Hounsfield Unit (HU) measurement per vertebra

Quantitative reporting of fracture severity

Triage/prioritization and alerting to radiologist workflow

Integration into radiology reporting workflow/viewer

Clinical study performance metrics/analytics

CINA-VCF Quantix (fracture quantification)

Radiology viewers/reporting systems (viewer integration)

RIS/hospital IT systems (via standard connectors)

DICOM-compatible PACS/archiver; CINA Platform server for on-prem; modern web browser; network access to PACS/DICOM nodes

EU MDR (2017/745)
CE (Class IIb) marking
EN ISO 13485 quality management
GDPR
FDA 510(k) clearance (K240612)

CE (MDR) Class IIb
EN ISO 13485
FDA 510(k) clearance (K240612)

TLS encryption in transit
Encryption at rest (when hosted)
Role-based access control (RBAC)
Audit logging
SSO/SAML integration

Data processing agreement (DPA) available

De-identification/anonymization of DICOM when required

Europe-only (CINA-VCF Quantix currently available in Europe; hosted options within EU)

CINA-VCF Quantix has significantly improved our ability to detect vertebral compression fractures early, leading to better patient outcomes.

The integration of CINA-VCF Quantix into our workflow was seamless, and the tool's accuracy has been impressive.

Since implementing CINA-VCF Quantix, we've seen a reduction in missed fractures and a more proactive approach to patient care.

The automated quantification provided by CINA-VCF Quantix has streamlined our reporting process and enhanced diagnostic confidence.

CINA-VCF Quantix's user-friendly interface and reliable performance have made it an invaluable asset in our radiology department.

CINA-VCF Quantix has received positive feedback for its accuracy and integration capabilities.

Users appreciate the tool's ability to seamlessly integrate into existing radiology workflows.

The AI-driven quantification features of CINA-VCF Quantix have been highlighted as a significant advancement in fracture detection.

Clinicians have noted improved patient outcomes due to the early detection capabilities of CINA-VCF Quantix.

The tool's user-friendly interface has been commended for enhancing the efficiency of radiology departments.

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: uPMR 790 is a high-definition Time-of-Flight (TOF) PET/MR scanner that enables simultaneous imaging with high temporal and spatial resolution, enhancing both clinical diagnostics and research capabilities.

The uPMR 790 integrates PET and MRI technologies to provide comprehensive imaging solutions. It features a 32 cm PET field-of-view, 2.8 mm NEMA PET spatial resolution, and advanced Time-of-Flight technology. The system supports whole-body scans in three bed positions and utilizes the uSync research platform for synchronized PET and MR data acquisition. Intelligent workflow features include automatic bed planning, MR-based attenuation correction, and quality control, streamlining the imaging process. Clinical applications encompass neuroimaging, whole-body imaging, oncology imaging, and cardiac imaging. The system has been FDA-cleared and is marketed in the United States. It is available in English and Chinese, with pricing details available upon request. The company, Shanghai United Imaging Healthcare, was founded in 2011 and has offices in multiple countries, including the United States and China.

clinicians
radiologists
researchers
medical imaging professionals
oncologists
neurologists
cardiologists
medical physicists
healthcare providers
medical institutions

Neurology
Oncology
Cardiology
Radiology
Functional Imaging
Molecular Imaging
Theranostics
Neuroscience
Multimodal Imaging
Medical Imaging Research
Medical Imaging Technology
Medical Imaging Equipment
Medical Imaging Systems
Medical Imaging Devices
Medical Imaging Solutions
Medical Imaging Applications
Medical Imaging Services
Medical Imaging Professionals
Medical Imaging Institutions
Medical Imaging Providers

United States
China
Europe
Asia
Africa
Australia
South America
North America
Middle East
Southeast Asia

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

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

Compressed sensing for whole-body isotropic 3D MR imaging

High isotropic spatial resolution for small lesion visualization

uSync Research platform for advanced research applications

Simultaneous tracking of PET and MRI tracers

High-density coils for improved signal-to-noise ratio

Advanced AI-based image reconstruction algorithms

AI-assisted Compressed Sensing (ACS) for accelerated image reconstruction

Time-of-Flight (TOF) technology for enhanced image quality

High-density gradient coils for improved performance

Advanced RF coils for various imaging applications

PlaqueTool for plaque identification and analysis

Intelligent vessel wall segmentation and analysis

3D mesh rendering for vascular structures

uSync Research platform
DeepRecon
AI-assisted Compressed Sensing (ACS)
Time-of-Flight (TOF) technology
High-density gradient coils
Advanced RF coils

Windows Server 2016 or later
Linux CentOS 7 or later
Minimum 32 GB RAM
Minimum 1 TB storage
Dedicated GPU for AI processing

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

Business Associate Agreement (BAA) available


Summary: VinDr-Mammo is an AI-powered software developed by VinBigdata to assist radiologists in prioritizing mammogram exams by identifying potentially suspicious findings, thereby enhancing workflow efficiency and expediting patient care.

VinDr-Mammo is a software-as-a-medical-device (SaMD) that analyzes 2D full-field digital mammograms using machine learning algorithms to detect exam-level suspicious findings. It integrates with Picture Archiving and Communication Systems (PACS) to alert radiologists, facilitating prioritized review of critical cases. The software operates as a passive notification tool, ensuring it does not replace the physician's final diagnosis. It was approved by the FDA on May 23, 2024, under the 510(k) number K233108, and is intended for use with validated full-field digital mammography systems. Performance validation demonstrated high sensitivity (~90%), specificity (~91%), and an area under the curve (AUC) of approximately 0.96, consistent across various breast densities, age groups, scanner models, and lesion types. The average processing time per mammogram is 2.8 minutes, aligning with clinical workflow requirements. Notably, VinDr-Mammo is substantially equivalent to its predicate device, CogNet QmTRIAGE (K220080).

radiologists
clinicians
medical imaging professionals

Simultaneous diagnosis of multiple scans

VinDr CAD
VinDr PACS
VinDr-SpineXR
VinDr-BrainCT
VinDr-BrainMRI

PACS systems
RIS systems
Cloud storage solutions


Summary: Syngo Carbon Enterprise Access is a web-based imaging solution from Siemens Healthineers that provides healthcare professionals with comprehensive access to patient data across the enterprise, enhancing collaboration and efficiency in patient care.

Syngo Carbon Enterprise Access is a zero-footprint, HTML5-based web application that enables healthcare providers to search, view, and manage DICOM and non-DICOM images, multimedia data, and clinical documents from all connected departments. It offers features such as de-identification of data for scientific and teaching purposes, interoperability with EMR/HIS systems, and flexible deployment across workstations, laptops, and mobile tablets. The solution is designed to improve patient care by providing a holistic view of patient information, thereby reducing time spent searching for data and enhancing cross-departmental collaboration.

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

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

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

Access all images, multimedia data, and results across the enterprise

Fully web-enabled with zero-footprint technology

Search and view DICOM and non-DICOM images, multimedia data, and clinical documents from all connected departments

De-identify data, export, and share for scientific and teaching purposes

Flexible deployment at workstations, laptops, or mobile tablets

Interoperates with EMR/HIS to provide a single viewer that integrates all imaging records

Available as stand-alone solution to any third-party PACS, VNA

New, award-winning Siemens Healthineers UI SHUI following state-of-the-art, harmonized approach across imaging portfolio

Syngo Carbon Space
Patient Access
Syngo Carbon IDM

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

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: YSIO X.pree is an intelligent ceiling-mounted digital X-ray system by Siemens Healthineers, designed to enhance imaging efficiency and patient care through AI-driven features and ergonomic design.

YSIO X.pree is a ceiling-mounted digital X-ray system that integrates artificial intelligence to optimize imaging workflows and patient positioning. It features the MyExam Companion user interface, which provides proactive guidance to technologists by analyzing patient data to determine optimal acquisition and reconstruction parameters. The system includes a MyExam 3D camera that offers live imaging for precise collimation and patient positioning, facilitating faster and more accurate examinations. Additionally, it incorporates intelligent image processing capabilities such as dynamic range optimization, noise elimination, and AI-based cropping to ensure consistent, high-quality images while minimizing radiation exposure. The ergonomic design of YSIO X.pree includes adjustable touch displays and monitors, enhancing usability and comfort for healthcare professionals. FDA-cleared, the system is intended for imaging various body parts, including the skull, chest, abdomen, and extremities, supporting diagnostic and therapeutic decisions. ([siemens-healthineers.com](https://www.siemens-healthineers.com/il/radiography/digital-x-ray/ysio-xpree?utm_source=openai))

clinicians
radiologic technologists
patients

Radiology
Orthopedics
Pediatrics
Thoracic Imaging
Abdominal Imaging
Extremity Imaging

United States
Europe
Asia
Australia
Africa
South America
North America

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

Contact Siemens Healthineers for pricing information.

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

AI-supported imaging for consistent results

Virtual Collimation for pre-exposure adjustments

myExam 3D Camera for patient positioning and collimation

Auto Thorax Collimation for rapid thorax examinations

Smart Virtual Ortho for orthopedic imaging

Ceiling-mounted tube with 10.4-inch touch interface

Bucky wall stand with vertical travel up to 145 cm

Wireless detector options (MAX wi-D, X.wi-D 43, X.wi-D 35)

Orthopedic acquisition module
Tomography module

FDA 510(k) clearance
IEC 60601 series compliance

Whitelisting
HD data encryption
Role-based access control
Audit trail


Summary: DentalMonitoring is an AI-driven platform that enables dental professionals to remotely monitor and manage orthodontic treatments, enhancing patient care and practice efficiency.

DentalMonitoring offers a comprehensive suite of AI-powered solutions for dental professionals, including virtual consultations, remote treatment monitoring, and patient engagement tools. The platform utilizes advanced image processing algorithms to analyze intraoral scans taken via a smartphone app and proprietary hardware, providing real-time insights into treatment progress and oral health. This approach allows clinicians to deliver personalized care, optimize scheduling, and improve patient compliance, all while reducing the need for in-person visits. The company has achieved significant milestones, including FDA De Novo approval and EU-MDR certification, underscoring its commitment to regulatory compliance and innovation in dental care.

Clinicians
Orthodontists
Dental Professionals
Patients

United States
Europe
Australia
Asia
Canada
Mexico
Brazil
Argentina
Chile
Colombia
Peru
South Africa
Egypt
Saudi Arabia
United Arab Emirates
India
China
Japan
South Korea
Singapore

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

United States
France
United Kingdom
Australia
Hong Kong
Spain
Netherlands
Italy
Germany
Switzerland

Smile simulations for treatment planning

Intraoral image capture via patented hardware

Treatment monitoring for aligners, braces, and retention

Practice Management Systems (PMS)
Dental Imaging Systems
Patient Communication Platforms


Summary: RAYDENT SW is an AI-driven dental software suite that enhances treatment planning and device design through advanced 3D imaging and simulations.

RAYDENT SW is a comprehensive AI-based dental software platform developed by RAY Co., Ltd. It assists dental professionals in planning treatments and designing orthodontic and prosthetic devices by utilizing 3D imaging data and simulations. The suite includes six components: RAYFace Analyzer, RAYFace Designer, Ortho Simulator, Smart Orth, RAYDENT Designer, and SmartCheck, each designed to improve precision and efficiency in dental care. The software has received FDA approval, validating its technology in the global market.

Dentists
Orthodontists
Prosthodontists
Dental Technicians

Orthodontics
Prosthodontics
General Dentistry

United States
Japan
South Korea
Europe
Asia

Japan
United States
South Korea
Germany
China

Prosthesis design (crowns, veneers, bridges)

RAYFace Analyzer
RAYFace Designer
Ortho Simulator
Smart Orth
RAYDENT Designer
SmartCheck

Compatible dental imaging scanners
Dental imaging software

HIPAA
FDA 21 CFR 11
FDA 21 CFR 820
HITECH
GDPR

Encryption
Role-based access control
Audit logs
Two-factor authentication
Data loss prevention


Summary: Heuron ICH is a healthcare software product developed by Heuron, a Tokyo-based IT company, focusing on delivering innovative solutions to enhance healthcare services.

Heuron ICH is a healthcare software product developed by Heuron, a Tokyo-based IT company. The product aims to deliver innovative solutions to enhance healthcare services, aligning with Heuron's philosophy of providing technology that nurtures the heart for future generations. Heuron collaborates with various partners, including the Tokyo Metropolitan Government and Kawasaki City, to develop and implement this product.

System development
Translation services
Media services
Creative services
Solution services

Software localization
Manual translation
Hardware manual translation
UI design
Illustration production
Software and hardware import sales
Internet media services
Design services
Solutions services

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Radiology information systems
Patient monitoring devices
Medical imaging devices
Clinical decision support systems
Electronic prescribing systems
Health information exchanges
Patient portals
Telemedicine platforms
Health data analytics platforms
Clinical trial management systems
Medical device integration platforms
Health insurance claim systems
Laboratory equipment integration
Medical records management systems

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

Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), 8 GB RAM, 100 GB free disk space, 1 Gbps network connection

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 9001
ISO 13485
FDA 21 CFR Part 11
FDA 510(k)
CE Marking
ONC-ATCB
ISO 14971
ISO 62304
ISO 62366
ISO 27018
ISO 27799
ISO 31000
ISO 22301
ISO 22316

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

BAA available
Consent management
Anonymization
Data minimization
Data masking
Access controls
Data retention policies
Data destruction policies
Data breach notification
Data subject rights management


Summary: Perimeter S-Series OCT is an intraoperative imaging system that provides high-resolution, real-time visualization of excised tissue margins, aiding surgeons in achieving clear margins during cancer surgeries.

Perimeter S-Series OCT utilizes Optical Coherence Tomography (OCT) to produce ultra-high-resolution, cross-sectional images of tissue microstructures at 10 times the resolution of ultrasound and X-ray, and 100 times that of MRI. This technology enables surgeons to assess surgical margins at the cellular level in real-time, facilitating immediate clinical decisions and potentially reducing the need for re-excision surgeries. The device is non-invasive, does not contact the patient, and preserves tissue for histopathological analysis. It has 510(k) clearance under a general indication and has not been evaluated by the FDA for specific uses such as breast tissue, breast cancer, other types of cancer, margin evaluation, and reducing re-excision rates. The safety and effectiveness of these uses have not been established.

Surgical Oncology
Breast Surgery
Head And Neck Surgery
Thyroid Surgery

United States
Canada
Europe
Asia
Australia

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

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

Intuitive interface for image annotation

Optimized for surgical margin assessment

Perimeter B-Series OCT with ImgAssist AI 2.0

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

FDA 510(k) clearance
CE Mark
Health Canada Medical Device License
TGA ARTG Registration
ANVISA Registration
KFDA Approval
PMDA Approval
MHLW Approval
NMPA Approval
MHRA Registration
Swissmedic Approval
MedSafe Approval

Data encryption
Role-based access control (RBAC)
Audit logs
Secure data storage
User authentication
Data integrity checks
Access control lists (ACLs)
Session management
Data masking
Secure data transmission

Data anonymization
Data minimization
User consent management
Data retention policies
Data access controls
Data sharing policies
Data breach notification procedures
Data subject rights management
Data processing agreements
Third-party risk assessments

FirstWatch
Perimeter Medical Imaging AI
Perimeter S-Series OCT

The entire platform including the automation tools make it simple to manage vendor risk.

How the tool can be tailored to suit needs and the support provided by the vendor.

4.8 out of 5 stars on G2 with 41 reviews


Summary: SmartChest is an AI-driven solution that assists radiologists in prioritizing chest X-rays by detecting suspected pneumothorax and pleural effusion, thereby enhancing workflow efficiency and diagnostic accuracy.

SmartChest is an AI-powered image processing device designed to aid in the triage of chest X-rays, specifically identifying suspected pneumothorax and pleural effusion. It integrates directly into the practitioner's workstation, automatically analyzing chest X-rays and flagging examinations that require prompt attention. This integration facilitates timely notifications to clinicians, streamlining the review process and improving patient care. SmartChest is a Class II medical device, FDA-cleared, and intended for use with frontal AP and PA views in chest radiographs of adults and transitional adolescents. It does not replace radiologists but enhances their capabilities by providing decision support and improving productivity. The solution has been validated on independent datasets, demonstrating high sensitivity and specificity for detecting pneumothorax and pleural effusion. It is available in the United States and Europe, with plans for broader international availability. The company, Milvue, was founded in 2018 and has offices in France, Canada, and the United States.

Radiologists
Emergency Physicians
Clinicians

Radiology
Emergency Medicine
Pulmonology

Integration via AI marketplace or distribution platform

Automatic analysis trigger post-image acquisition

Direct integration with practitioner's workstation

Clinician notifications for time-sensitive images

PACS
AI marketplace
distribution platform

Virtual machine, Docker, Cloud-based infrastructure

FDA 510(k) cleared
Class II medical device

Data encryption
Role-based access control
Audit logs
Two-factor authentication
Data loss prevention

Business Associate Agreement available
Consent management
Anonymization
Data minimization

Services d'imagerie ViaMedica
International Radiology Center
Consultant Paediatric Radiologist
IMRO
GHT Haut Bugey
Riviera Imagerie

The interest of the medical imaging community in AI is amply demonstrated. Initial predictions about the disappearance of the specialty have given way to recognition of the enormous potential of AI to improve the work of radiologists. We have undertaken to optimize the use of AI in our practice in order to improve the quality of our service. I am very happy to be able to count on Milvue as a partner in this initiative.

This impressive AI solution accurately identifies several chest X-ray findings, particularly the tricky ones, which helps improve our team’s confidence in making decisions. With the generated results timely and conveniently displayed on our reading stations, Milvue acts as an efficient 2nd reader.

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

The introduction of this new tool was simple and natural. The adoption of AI was made easy through its seamless and intuitive integration into our daily workflow. All team members quickly embraced the Milvue solution.

An innovative solution that addresses a security need by enhancing physicians’ capabilities.

The Milvue Solution is a comprehensive and user-friendly solution that enhances analytical capacity while ensuring secure diagnostics. The intelligent management of multiple pathologies within a single solution is a significant advantage because, in many cases, detecting fractures alone is not sufficient. It has become an essential assistant today for handling the continuous flow of X-rays.

FDA 510(k) clearance, Class II medical device

Health Canada approval, Class IIa medical device

Coreline Soft
Therapixel
NUBIX
Azure OpenAI Service
Azure AI Studio


Summary: DeepContour is an FDA-cleared AI software that automates organ segmentation in CT images for radiation therapy planning, enhancing workflow efficiency and precision.

DeepContour (V1.0) is a deep learning-based medical imaging software developed by Wisdom Technologies. It automates the segmentation of organs on CT images, assisting healthcare professionals in radiation therapy planning by generating and editing organ contours, performing 3D reconstruction, and analyzing anatomical structures. The software is FDA-cleared and was approved on May 7, 2024. It supports rigid and elastic registration and provides interactive contouring applications for editing and review. DeepContour is compatible with treatment planning systems and produces RTSTRUCT outputs. It was validated with 203 CT images, demonstrating equivalence or superiority compared to predicate devices. The software is intended for use by trained healthcare professionals in radiation therapy planning. It is available in the United States and supports English language. The pricing model is subscription-based, with specific details available upon contacting the vendor. The license terms are proprietary. Wisdom Technologies, the company behind DeepContour, was founded in 2024 and has offices in the United States and China.

Clinicians
Radiologists
Oncologists
Medical Physicists
Healthcare Professionals

Radiology
Oncology
Medical Imaging
Radiation Therapy
Medical Physics

Medical imaging analysis
AI-driven diagnostics
Automated reporting
Clinical decision support
Patient data management
Workflow optimization
Image segmentation
3D visualization
Predictive analytics
Integration with PACS systems
Real-time image processing
Customizable reporting templates
Data encryption
Audit trails
Role-based access control
Multi-language support
Cloud storage integration
Mobile access
User-friendly interface

Advanced analytics
Telemedicine integration
Patient portal
Clinical trial management
Research data analytics
Regulatory compliance tools
Data anonymization
Customizable dashboards
Third-party app integration
API access

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Electronic health records
Radiology information systems
Hospital information systems
Patient monitoring devices
Clinical decision support systems
Pharmacy management systems
Laboratory equipment
Medical imaging devices
Wearable health devices
Telemedicine platforms
Health information exchanges
Patient portals
Clinical trial management systems
Research databases

GPU with CUDA support (for AI processing)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 21 CFR Part 11
ISO 14971
IEC 62304
IEC 62366

Data encryption
Role-based access control
Audit trails
Two-factor authentication
Secure data storage
Network security protocols
Regular security audits
Compliance with security standards
Incident response plan
Data masking

Data anonymization
Consent management
Data minimization
Data retention policies
User data access controls
Data breach notification procedures
Privacy impact assessments
Third-party data sharing policies
User data rights management
Privacy training for staff


Summary: The ASSURE Wearable ECG by Kestra Medical Technologies is a non-therapeutic device designed for continuous cardiac monitoring in patients post-use of the ASSURE WCD, offering automatic episode storage, alert notifications, and physiological trend data integration with the Kestra CareStation platform.

The ASSURE Wearable ECG is a compact, non-therapeutic device intended for patients who have completed their use of the ASSURE Wearable Cardioverter Defibrillator (WCD). It provides continuous cardiac monitoring through automatic episode storage, alert-based notifications, and physiological trend data, all integrated with the Kestra CareStation remote patient data platform. This system aims to support ongoing patient care and recovery by delivering clear insights to healthcare providers and empowering patients in their self-management. The ASSURE WCD system, which includes the Wearable ECG, has been recognized with the 2022 Medical Design Excellence Award in the Cardiovascular Devices category. ([businesswire.com](https://www.businesswire.com/news/home/20220411005323/en/ASSURE-Wearable-Cardioverter-Defibrillator-WCD-System-Earns-2022-Medical-Design-Excellence-Award?utm_source=openai))

Automatic detection and defibrillation for ventricular arrhythmias

SensorFit Garments with integrated ECG sensors

ASSURE Detection Algorithm with Quad Channel Processing

ASSURE Patient App for data transmission and patient engagement

Educational content and activity tracking in patient app

Real-time monitoring and alert-based notifications

Data transmission to healthcare providers

Rechargeable lithium-ion battery with minimum 24-hour runtime

Compact monitor integration into SensorFit Garment

ASSURE Wearable ECG for extended monitoring

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

Windows Server 2016 or later
SQL Server 2016 or later
Internet Explorer 11 or later
Google Chrome
Mozilla Firefox
Safari

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP
firewall
IDS/IPS
VPN
endpoint security

BAA available
consent mgmt
anonymization
data minimization
data masking
data retention policies
data access controls
data classification
data loss prevention
data breach response plan


Summary: Philips CT 5300 is an AI-powered computed tomography system designed to enhance diagnostic confidence, streamline workflows, and improve system uptime across various clinical applications.

The Philips CT 5300 integrates advanced artificial intelligence to deliver high-quality imaging with reduced radiation doses. It features AI-driven capabilities such as Precise Image reconstruction for enhanced image quality, Precise Position for improved patient positioning, and Precise Cardiac for motion compensation in cardiac imaging. The system also offers remote services to monitor performance and ensure continuous operation, aiming to improve patient outcomes and departmental productivity.

clinicians
radiologists
technologists
hospital administrators

Cardiology
Trauma Care
Interventional Radiology
Bariatrics
Neurology
Oncology
Emergency Medicine

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

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

Contact Philips for detailed pricing information.

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

Precise Position AI-enabled smart positioning camera

Precise Brain automatic scan reformatting

Advanced Visualization Workspace integration

Advanced Visualization Workspace
OnPlan patient-side gantry controls

Advanced Visualization Workspace
Annalise Critical Care AI

Windows Server 2019, Intel Xeon Gold 6248R, 128 GB RAM, NVIDIA Tesla T4 GPU

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


Summary: Ethos is an AI-driven adaptive radiotherapy system by Varian, designed to personalize cancer treatment by adjusting therapies in real-time based on patient anatomy and tumor changes.

Ethos integrates artificial intelligence with adaptive therapy to optimize radiotherapy planning and delivery. It offers personalized treatment options, efficient workflows, and flexibility in treatment techniques, including adaptive radiotherapy, image-guided radiotherapy (IGRT), intensity-modulated radiotherapy (IMRT), volumetric-modulated arc therapy (VMAT), and stereotactic body radiotherapy (SBRT). The system leverages diagnostic MR, PET, and CT images during planning and treatment, and features HyperSight imaging for high-resolution, rapid imaging. Enhanced algorithms in the Ethos Intelligent Optimization Engine (IOE) provide optimized treatment planning and dose delivery, while AI-driven segmentation reduces manual contouring. Integration with ARIA CORE oncology management solution facilitates seamless data sharing and patient management. HyperSight imaging, an optional feature, enables direct dose calculation on cone-beam CT images, enhancing treatment adaptation. Ethos received FDA 510(k) clearance in February 2020 and has been updated to version 2.0 with additional functionalities, including expanded AI-segmented anatomical structures and improved connectivity. The system is marketed globally, with Varian's offices in multiple countries, and supports multiple languages. Pricing details are not publicly disclosed; interested parties are advised to contact Varian directly for information. Ethos operates under Varian's proprietary license terms. Varian was founded in 1948 and is headquartered in Palo Alto, California.

Clinicians
Medical Physicists
Radiation Oncologists
Healthcare Administrators
Patients

Oncology
Radiation Oncology
Medical Physics
Cancer Treatment
Adaptive Radiotherapy
Imaging
Medical Devices
Artificial Intelligence
Healthcare It
Medical Equipment

United States
Canada
European Union
United Kingdom
Australia
Japan
South Korea
China
India
Brazil
Mexico
South Africa
Russia
Middle East
Southeast Asia
Latin America
Africa
New Zealand
Caribbean
Central America

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

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

Treatment planning flexibility (adaptive, IGRT, IMRT, VMAT, SBRT)

Integration with diagnostic MR, PET, and CT images

Unified reporting and management of IGRT treatments

Direct dose calculation on HyperSight CBCT images

ARIA oncology management solution
Varian linear accelerators

Windows Server 2016 or later, Linux-based servers

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

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

End-to-end encryption
Role-based access control
Audit trails
Secure data storage

Data anonymization
Data minimization
User consent management


Summary: Sonio Detect is an AI-powered software that assists ultrasound practitioners in real-time during fetal ultrasound examinations, enhancing quality and efficiency.

Sonio Detect is an FDA 510(k) cleared AI software designed to support ultrasound practitioners by automatically detecting views, anatomical structures, and verifying quality criteria in real-time during fetal ultrasound exams. It integrates with various ultrasound machines and adapts to diverse patient demographics, including variations in BMI, maternal age, and ethnicity. The software has demonstrated high sensitivity and specificity across different patient subgroups. Additionally, Sonio Detect has been FDA cleared for analysis of prenatal ultrasound exams in August 2023. ([auntminnie.com](https://www.auntminnie.com/clinical-news/ultrasound/article/15633974/fda-clears-sonios-ai-for-prenatal-ultrasound-software?utm_source=openai))

Sonographers
OB/GYNs
Maternal-Fetal Medicine Specialists
Fetal Surgeons

Obstetrics
Gynecology
Maternal-fetal Medicine

Automatic detection and labeling of fetal ultrasound views

Identification of anatomical structures within ultrasound views

Verification of ultrasound image quality against standardized criteria

Real-time feedback on image quality during ultrasound exams

Automated sorting and management of ultrasound images and videos

Integration with existing ultrasound machines and clinical systems

Voice-controlled reporting assistant for hands-free documentation

Customizable reporting templates based on ultrasound findings

Clinical decision support features powered by AI algorithms

Automated population of report fields using AI and voice input

Visual checklist to track required ultrasound views during exams

Patient app for secure sharing of ultrasound images and reports

Practice analytics to monitor and improve clinical performance

Cloud-based technology for secure, remote access to ultrasound exams

Continuous software updates to incorporate latest imaging technology and AI advancements

Compliance with HIPAA privacy and security requirements

ISO 13485 certified quality management system

SOC 2 Type 2 compliance for data security

Flexible deployment options including isolated multi-region deployments

Ultrasound machines
EHR systems
PACS/VNA
Billing systems
eFAX support
IMO
LOINC
DICOM worklist
HL7 (ADT, SIU, ORU, ORM, etc.)
FHIR
Custom integrations

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


Summary: uMR Jupiter is a whole-body 5.0T MRI system developed by United Imaging Healthcare, offering ultra-high-field imaging capabilities for enhanced diagnostic precision.

uMR Jupiter is the world's first whole-body ultra-high-field 5.0T MRI system, designed to provide high-resolution imaging with improved signal-to-noise ratio. It features an 8-channel whole-body multi-transmit system, enabling detailed visualization of anatomical structures across the entire body. The system is engineered to fit into standard 3.0T MRI room dimensions, facilitating broader clinical adoption. It addresses challenges associated with ultra-high-field MRI, such as image uniformity and radiofrequency safety, ensuring consistent image quality and patient safety. The uMR Jupiter is cleared by the FDA for whole-body applications and is also CE certified under MDR/MDD, marking a significant advancement in diagnostic radiology. ([usa.united-imaging.com](https://usa.united-imaging.com/news/press/united-imaging-receives-fda-clearance-for-breakthrough-5t-mri-system?utm_source=openai))

radiologists
clinicians
medical imaging technicians

Neurology
Cardiology
Oncology
Musculoskeletal Imaging
Abdominal Imaging
Pelvic Imaging
Vascular Imaging

United States
European Union
China
Japan
South Korea
India
Brazil
Mexico
Turkey
Russia

English Chinese German French Spanish Italian Japanese Korean Portuguese Russian

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

Whole-body ultra-high-field 5.0T MRI imaging

8-channel volume transmit coil for uniform B1 field

Advanced AI-accelerated image reconstruction (ACS)

DeepRecon intelligent high-fidelity image reconstruction

EasySense dual-source millimeter-wave radar for contactless vital signs sensing

High-resolution imaging with enhanced signal-to-noise ratio

Fast scan times comparable to CT imaging

1-click scanning with touchless motion sensing

Calming starlight environment for patient comfort

High-gradient performance of 120 mT/m at 200 T/m/s

Installation in standard 3.0T MRI room size

Supports preclinical and clinical studies

Compatible with contrast agents depending on region of interest

Intended for patients over 20 kg (44 lbs)

ADEPT platform for MR research and development

FDA 510(k) clearance
NEMA standards
DICOM standards

Data encryption
Audit logs
User authentication

Patient data anonymization
Consent management

Data storage complies with regional regulations


Summary: AEYE-DS is an AI-powered diagnostic screening solution for diabetic retinopathy, enabling rapid, point-of-care detection using portable retinal cameras.

AEYE-DS, developed by AEYE Health, is an FDA-cleared AI diagnostic system designed for autonomous detection of more-than-mild diabetic retinopathy in adults with diabetes. It operates with portable retinal cameras, requiring only one image per eye and rarely necessitating dilation, providing instant diagnostic results. The system is compatible with Topcon NW400 and Optomed Aurora cameras, facilitating flexible and accessible screening in various healthcare settings. AEYE-DS has demonstrated high sensitivity and specificity in clinical studies, with sensitivity ranging from 92% to 93% and specificity between 89% and 94%, depending on the camera used. The solution is reimbursable under CPT code 92229, addressing care gaps and improving quality metrics such as HEDIS scores and Star ratings. AEYE Health has partnered with organizations like Ford Medical to expand AEYE-DS's availability in pharmacies and non-acute centers, enhancing early detection and treatment of diabetic retinopathy. Additionally, AEYE-DS has been integrated into electronic medical record systems, such as at UMass Memorial Health, to streamline workflows and improve patient outcomes. The system's portability and ease of use make it suitable for home care settings, offering convenient screening options for patients.

clinicians nurses patients admins payers

Autonomous diabetic retinopathy screening

Portable and cost-effective retinal cameras

Integration with electronic medical records (EMR)

FDA-cleared for use with Topcon NW400 and Optomed Aurora cameras

High sensitivity and specificity in clinical studies

Dedicated CPT code 92229 for AI diabetic retinopathy screening

Improvement in diabetic eye care adherence and quality measures

Handheld device integration
Robotic tabletop camera integration

Electronic Medical Records (EMR) systems

Topcon NW400 or Optomed Aurora camera, internet connectivity

HIPAA
FDA 510(k) clearance
SOC 2 Type II certification

BAA available
consent management
anonymization
data minimization


Summary: Rapid by iSchemaView is an AI-powered imaging platform that provides automated, real-time analysis of CT and MRI scans to assist clinicians in diagnosing and treating acute stroke patients.

Rapid is a comprehensive imaging solution that integrates advanced AI algorithms to process CT and MRI images, delivering clear, easy-to-interpret maps that identify brain regions with reduced cerebral blood flow, volume, and transit time. It supports various imaging modalities, including CT perfusion (CTP), magnetic resonance (MR) diffusion and perfusion, computed tomography angiography (CTA), and ASPECTS scoring, facilitating rapid clinical decision-making in acute stroke care.

Clinicians
Neurologists
Neuroradiologists
Emergency Physicians
Stroke Specialists

Neurology
Neuroradiology
Emergency Medicine
Stroke Care

United States
Canada
Europe
Asia
Australia
South America
Middle East

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

United States
United Kingdom
Germany
India
China
Japan
Brazil
Saudi Arabia
Australia
South Korea

Real-time imaging
Automated image analysis
Clinical decision support
Data visualization
Patient data management
Workflow optimization
Remote access
Integration with hospital systems
Customizable reporting
Data security measures
Regulatory compliance support
User-friendly interface
Scalable architecture
Multilingual support
Cloud storage integration
Mobile device compatibility
Data backup and recovery
Audit trails
User access controls

Advanced analytics
Telemedicine integration
Patient portal
Mobile app
Third-party integrations
Customizable dashboards
Clinical trial support
Research data management
Billing integration
Inventory management

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Radiology information systems
Electronic health records
Patient monitoring devices
Laboratory instruments
Pharmacy systems

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
macOS Mojave or later
iOS 12 or later
Android 9 or later
2 GB RAM
500 MB disk space
Internet connection

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27017
ISO 27018
PCI DSS
FDA 21 CFR Part 11
ISO 9001
ISO 14001
SOC 3
CSA STAR
FedRAMP
NIST 800-53

FDA 510(k)
CE/MDR
ONC
ISO 9001
ISO 14001
ISO 27001
ISO 27017
ISO 27018
SOC 2
SOC 3
CSA STAR
FedRAMP
NIST 800-53
PCI DSS
HIPAA
GDPR
HITECH

Encryption at rest
Encryption in transit
Access control
Two-factor authentication
Audit trails
Role-based access control
Single sign-on
Data masking
Intrusion detection system
Regular security audits

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data retention policies
User data access controls
Data portability
Data erasure
Privacy impact assessments


Summary: uOmnispace.MR is an advanced medical imaging software developed by Shanghai United Imaging Healthcare, designed to enhance the viewing, processing, and analysis of magnetic resonance (MR) images across various clinical applications, including brain, breast, cardiac, vascular, and neurological imaging.

uOmnispace.MR is a comprehensive post-processing software solution that supports multiple advanced MR imaging applications, such as stitching, dynamic studies, MR spectroscopy, MAPs statistical functions, breast evaluation, brain perfusion, vessel analysis, DCE analysis, neurological evaluation, cardiac function, and flow analysis. It includes AI-driven segmentation for cardiac ventricular analysis, enabling improved diagnostic workflows and patient care. The software is compatible with DICOM images and various imaging modalities like CT, MRI, and PET. It is intended for use by physicians and trained medical technicians for viewing, manipulating, evaluating, and analyzing medical images within healthcare institutions. uOmnispace.MR received FDA clearance under the 510(k) process on April 17, 2024.

Clinicians
Medical Technicians
Radiologists
Physicians

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

United States
China
Europe
Asia-Pacific
Latin America
Middle East
Africa
Australia
Canada
Mexico
Brazil
India
Japan
South Korea
Russia
South Africa
Egypt
Saudi Arabia
United Kingdom
Germany
France

China
United States
Poland
Dubai
Malaysia
UAE
Germany
France
Italy
Spain

Comprehensive film and report generation

Rib extraction algorithm using machine learning

Compatible with CT, MRI, and PET imaging modalities

Integration with imaging and hospital information systems via DICOM3.0

AI-powered diagnostic tools
Advanced reporting features
Cloud storage integration

PACS
RIS
EMR
HIS
LIS
VNA
Cloud storage services

Standard off-the-shelf PCs with minimum specifications


Summary: VisAble.IO is an AI-driven software developed by Techsomed to assist physicians in planning and confirming liver ablation procedures, enhancing treatment precision.

VisAble.IO is part of Techsomed's BioTrace platform, an AI-based image-guided ablation therapy system. It utilizes standard imaging modalities—ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI)—to provide real-time visualization of the ablation zone, personalized treatment planning, and assessment tools. Key features include 3D visualization of the ablation target within a patient-specific anatomical view, overlay and positioning of virtual instruments and estimated ablation regions onto medical images, and an interactive 3D view of ablation margins and missed volumes to assess ablation target coverage immediately post-procedure. The software received FDA 510(k) clearance in September 2023. ([prnewswire.com](https://www.prnewswire.com/news-releases/techsomed-announces-fda-clearance-for-ablation-treatment-planning-and-confirmation-software-301917800.html?utm_source=openai))

Clinicians
Radiologists
Oncologists
Interventional Radiologists

Oncology
Gastroenterology
Interventional Radiology

English Hebrew Japanese German French Spanish Chinese Arabic Russian Portuguese

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

3D visualization of ablation targets within patient-specific anatomy

Overlay and positioning of virtual instruments on medical images

Interactive 3D assessment of ablation margins and missed volumes post-procedure

Data encryption
Access controls
Audit logs


Summary: True Enhance DL is an AI-driven CT imaging solution by GE HealthCare that enhances contrast resolution for confident diagnoses, especially in oncology and pulmonary embolism cases.

True Enhance DL utilizes a dedicated Deep Neural Network (DNN) to generate deep learning-based monochromatic-like images from single-energy X-ray, enhancing contrast resolution without increasing radiation exposure. It is part of GE HealthCare's Effortless Recon DL portfolio, aiming to improve image quality and inform clinical decision-making for better patient outcomes.

clinicians
radiologists
oncologists
emergency medicine physicians

Oncology
Pulmonology
Cardiology
Emergency Medicine

United States
Europe
Asia
Australia
Canada
South America
Africa

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

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

Deep learning-based monochromatic-like imaging from single-energy X-ray

Enhanced contrast resolution for oncology and pulmonary embolism evaluations

AI-driven workflow for improved image quality without increased radiation

Integration with GE HealthCare's Effortless Recon DL portfolio

TrueFidelity DL
Precision DL
AIR Recon DL
Sonic DL
Helix Advanced Image Processing
Clarify DL

GE HealthCare CT imaging systems
Compatible hardware for AI processing

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

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

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


The uMR 680 is a 1.5T MRI system by United Imaging, featuring advanced AI technologies for enhanced imaging and patient comfort. It offers high gradient performance, a spacious 70 cm bore, and innovative features like DeepRecon for improved image quality and EasySense for contactless respiratory motion sensing.

clinicians
patients
radiologists
hospital administrators

Neurology
Orthopedics
Cardiology
Body Imaging
Angiography

United States
Europe
Asia
Australia
South America
Africa

English Spanish German French Chinese Japanese Korean Italian Portuguese Russian

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

uAIFI DeepRecon: Deep learning-based image reconstruction for enhanced signal-to-noise ratio and image sharpness.

EasySense: Contactless respiratory motion sensing using dual-source millimeter-wave radar integrated within the MRI bore.

QScan: Noise reduction technology achieving up to 97% reduction in scan noise, providing a quieter imaging experience.

uCS (United Compressed Sensing): Acceleration technology for faster imaging and improved throughput.

SuperFlex Coils: Blanket-style coils that conform to patient anatomy, enhancing comfort and image quality.

Detachable Table: Facilitates patient positioning and access, especially in acute care settings.

High-Density RF Channels: Up to 96 independent receive channels for rapid data collection and high-resolution imaging.

High-Performance Gradient System: 45 mT/m gradient amplitude and 200 T/m/s slew rate for superior imaging capabilities.

70 cm Bore Diameter: Spacious design to accommodate a wide range of patients and clinical scenarios.

Advanced Imaging Applications: Supports neurology, orthopedics, cardiology, body imaging, and angiography.

Breast Coil-24
Magnetic Resonance Elastography (MRE)

uAI Vision 3D Camera
AI-Workflow Integration

Windows Server 2019, Linux CentOS 7, 64 GB RAM, 1 TB SSD storage

FDA 510(k) Clearance
CE Marking
IEC 60601-1
IEC 60601-1-2
IEC 60601-2-33

Data Encryption
Role-Based Access Control (RBAC)
Audit Logs
Secure Socket Layer (SSL) Communication

Data Anonymization
Patient Consent Management
Data Minimization
Compliance with HIPAA

Global data centers with options for regional data storage


Summary: Rho is an AI-driven software that analyzes routine X-rays to identify patients at risk of low bone mineral density, aiding in early osteoporosis detection and management.

Rho utilizes standard X-rays to opportunistically screen for low bone mineral density (BMD) in patients aged 50 and older. It analyzes frontal X-rays of the lumbar spine, thoracic spine, chest, pelvis, knee, or hand/wrist to detect potential low BMD, prompting further clinical assessment. Licensed by Health Canada and granted FDA De Novo marketing authorization, Rho aims to enhance osteoporosis screening by leveraging existing imaging data, thereby improving early detection and treatment outcomes. The software has been implemented in various healthcare settings, including partnerships with Clear Medical Imaging and Sunnybrook Health Sciences Centre, demonstrating its effectiveness in identifying at-risk individuals and facilitating timely interventions.

Canada
United States
Australia
Singapore
Taiwan
Brazil

AI-driven opportunistic screening for low bone mineral density

Utilizes routine x-rays for patient risk identification

Automated radiologist reports for at-risk patients

Integration with provider systems for personalized care plans

Increased reimbursable services for at-risk patients

Clinical risk assessment
Fall prevention
Lifestyle modification
DXA screening

FDA De Novo Marketing Authorization
Health Canada License
ISO 13485


APPRAISE-HRI is a healthcare software developed by The Surgeon General, Department of the Army, designed to enhance medical readiness and operational efficiency within military healthcare settings. It integrates various functionalities to support the unique needs of military medical personnel and facilities.

Radiology
Cardiology
Orthopedics
Neurology
Pediatrics
Emergency Medicine
Psychiatry
Anesthesiology
Obstetrics And Gynecology
General Surgery
Internal Medicine
Dermatology
Ophthalmology
Otolaryngology
Urology
Pathology
Family Medicine
Physical Medicine And Rehabilitation
Preventive Medicine
Occupational Medicine

United States
Germany
South Korea
Japan
Italy
United Kingdom
Afghanistan
Iraq
Kuwait
Qatar
Bahrain
United Arab Emirates
Saudi Arabia
Turkey
Jordan
Egypt
Djibouti
Cuba
Guam

English Spanish German Korean Japanese Italian Arabic Turkish French Chinese Russian Hindi Tagalog Vietnamese Thai Persian Urdu Pashto Dari Somali

Bluetooth integration with external vital-sign monitors

Continuous risk score updates every minute

Categorization of hemorrhage risk into low, average, and high levels

User-friendly interface for military healthcare providers

Mobile health application for trauma patients

Assists in triaging casualties in prolonged field care scenarios

Helps identify patients at risk of uncontrolled bleeding

Improves situational awareness for medics

Supports clinical management of potentially hemorrhagic casualties

Not intended to diagnose or direct treatment

Provides situational awareness and informs clinical management

Developed by the U.S. Army Medical Research and Development Command’s Biotechnology High Performance Computing Software Applications Institute

Part of the Telemedicine and Advanced Technology Research Center

Licensed under three U.S. patents held by the Department of Defense

Available for licensing to commercial partners

Android device with Bluetooth capability

HIPAA
FDA 510(k) clearance
ISO 14971:2019
IEC 62304

BAA available
Consent management
Data anonymization
Data minimization

Difficulty of Analysis. Loss of subjectivity and security is one of the biggest worries.

4.8 out of 5 on G2 for HR Analytics Software

Cerner
Epic Systems
Allscripts
McKesson
Meditech
GE Healthcare
Siemens Healthineers
Philips Healthcare
IBM Watson Health
Oracle Health Sciences
SAP Health
Microsoft Health
Google Health
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce Health Cloud
ServiceNow Healthcare
Workday Healthcare
SAP SuccessFactors


Summary: The CorVista System is a non-invasive, point-of-care diagnostic tool that utilizes machine learning to rapidly assess cardiovascular conditions, including coronary artery disease and pulmonary hypertension, without the need for radiation, contrast agents, injections, fasting, or exercise.

Developed by Analytics for Life and commercialized by CorVista Health, the CorVista System offers a non-invasive, point-of-care solution for evaluating symptomatic patients for cardiovascular diseases. It employs machine learning algorithms to analyze cardiac and hemodynamic signals, providing results within minutes to aid physicians in diagnosing and treating conditions such as coronary artery disease and pulmonary hypertension. The system has received FDA clearance for coronary artery disease and pulmonary hypertension indications, with additional capabilities under development. It is designed to be used without radiation, contrast agents, injections, fasting, or exercise, making it suitable for a wide range of clinical settings, including those with limited resources. The CorVista System is currently available in the United States and is intended for use by healthcare professionals in diagnosing cardiovascular conditions.

Cardiology
Pulmonary Hypertension
Heart Failure
Coronary Artery Disease

Non-invasive cardiac diagnostic platform

FDA-cleared for coronary artery disease detection

Under investigation for pulmonary hypertension detection

No patient burden of traditional stress testing

Left Ventricular Filling Pressure Assessment

Heart Failure with Preserved Ejection Fraction Assessment

Heart Failure with Reduced Ejection Fraction Assessment

FDA 510(k) clearance
Cloud-based data processing
Secure web portal for physicians
Digital signal acquisition
Real-time data analysis
Single-visit diagnostics
Patient signal collection at rest
Cloud data transfer
Proprietary machine-learned algorithms
Physician evaluation via web portal
Rapid diagnosis
Appropriate treatment matching
No loss to follow-up

FDA 510(k) clearance
CE/MDR
ONC
ISO 27001

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: PreView Shoulder is a 3D pre-operative planning software developed by Genesis Software Innovations, designed to assist orthopedic surgeons in planning shoulder arthroplasty procedures using CT imaging data.

PreView Shoulder enables surgeons to visualize a patient's shoulder anatomy in 3D, facilitating the digital placement of implants to optimize size, location, and orientation. This tool aims to improve surgical efficiency, reduce operating room time, and enhance patient outcomes. It received FDA 510(k) clearance in May 2021, marking it as the first orthopedic solution under the FDA's new QIH classification for AI-based software solutions. The software was developed by an international team of shoulder reconstruction specialists, AI engineers, and visual gaming programmers. In May 2021, Shoulder Innovations signed an exclusive license agreement for PreView Shoulder, integrating it into their shoulder replacement portfolio to provide greater surgical clarity. The software is available for use in the United States and is supported in English. Pricing details are not publicly disclosed; interested parties are advised to contact Genesis Software Innovations directly for more information. The company was founded in 2018 and is headquartered in Grand Rapids, Michigan, USA.

orthopedic surgeons
medical professionals

Reconciliation component
Straight-through data integration
Local development performance
Accessibility compliance
Updates to Genesis Create
Improved Angular support

Matcher solution
Reconciliation component
Genesis Create
Genesis View
Angular support enhancements

ERP systems
EHR systems
Finance systems
P2P systems
Catalogue systems

FDA 510(k)
CE/MDR
ONC
ISO 9001
ISO 27017
ISO 27018
SOC 1
SOC 2
SOC 3
PCI DSS Level 1
FedRAMP
FIPS
IRAP
MLPS Level 3
MTCS Tier 3
SEC Rule 17a-4(f)
C5
Cyber Essentials Plus
DoD SRG
FISMA
G-Cloud
GxP (FDA CFR 21 Part 11)
IT Grundschutz
MITA 3.0
MPAA
NIST
PHR
UK Cloud Security Principles
Uptime Institute Tiers


Summary: Oxevision Sleep Device is a contactless patient monitoring system developed by Oxehealth, designed to enhance safety and efficiency in inpatient behavioral health settings by providing non-intrusive sleep assessments and vital signs monitoring.

Oxevision Sleep Device utilizes infrared-sensitive cameras to monitor patients' sleep patterns and vital signs without physical contact, aiming to improve patient safety, reduce disturbances, and support clinical decision-making in acute mental health care environments.

Mental Health
Behavioral Health
Acute Care

Automated daily sleep monitoring reports

Activity tracking and fall risk assessment

Electronic Medical/Health Record (EMR/EHR) integration

Patient observation and engagement notes

Penetration testing and vulnerability monitoring

OxeObs (Electronic Medical/Health Record)

Activity Tracker (Clinical Decision Support System)

EHR systems
Clinical Decision Support Systems

Infrared-sensitive camera
Secure servers (on-prem or cloud)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27701
Cyber Essentials Plus

FDA De Novo clearance
EU medical device clearance
ISO 27001:2013
ISO 27701:2019
Cyber Essentials Plus

Anonymization of personal data
Pseudonymization of personal data
Data minimization
Patient consent management
Data governance support


Summary: Sepsis ImmunoScore is an FDA-authorized AI diagnostic tool developed by Prenosis to assist healthcare providers in early detection and prediction of sepsis risk in patients.

Sepsis ImmunoScore leverages artificial intelligence to analyze up to 22 patient parameters, including lab biomarkers, vital signs, and demographics, to generate a sepsis risk score. This score aids clinicians in identifying patients at risk for sepsis or developing sepsis within 24 hours, facilitating timely intervention and potentially improving patient outcomes. The tool integrates directly into electronic health records (EHRs), providing an intuitive display of risk parameters and model calculations to support clinical decision-making. In 2024, Sepsis ImmunoScore received FDA De Novo marketing authorization, marking it as the first AI diagnostic tool for sepsis detection. Additionally, Prenosis announced a commercial distribution collaboration with Roche Diagnostics to bring Sepsis ImmunoScore to hospitals across the U.S.

Infectious Disease
Critical Care
Emergency Medicine

Integrates with electronic health records (EHR)

Assigns patients to discrete risk categories

Provides intuitive visualization of risk parameters

HIPAA
FDA 21 CFR Part 820
ISO 13485
ISO 27001

FDA De Novo Authorization
ISO 13485
ISO 27001

Roche
Navify
FDA
Sg2
Atria AI
Amazon Web Services (AWS)
Pulsifi
IBM
CareValidate
Qualtrics
Kirusa
Bizmatics
SolarWinds
Datadog
New Relic
IBM Instana
Progress WhatsUp Gold
Checkmk
Pandora FMS
Zabbix
cPanel
FusionReactor APM
Semalytix
Sg2 Analytics
PrognoCIS
Navify Algorithms
Care360
Safe Reopening
Pharos
Sg2 Intelligence

Industry leading tool for voice infrastructure monitoring. They also have solutions for payment and distributed infrastructure monitoring.

The backend UI needs an upgrade. Few performance issues observed.

4.5/5 on G2 for Qualtrics Vaccination & Testing Manager

4.2/5 on G2 for Amazon Comprehend Medical

4.3/5 on G2 for SolarWinds Observability


Summary: Us2.v2 is an FDA-cleared AI software that automates echocardiographic analysis, enhancing cardiovascular disease detection and management.

Us2.v2 is an advanced image post-processing analysis software designed to aid diagnostic review, analysis, and reporting of echocardiographic DICOM images. It automatically generates clinically relevant and reproducible quantitative echocardiographic measurements, reducing analysis time and variability compared to human measurement. The software streamlines the echocardiographic workflow, enabling clinicians to generate and edit reports faster with precision and complete control. Key features include strain imaging, regional strain analysis, aortic stenosis measurements, and comprehensive quantitative analysis of cardiac structure and function. Us2.v2 is intended for use in adult patients and aims to support qualified cardiologists, sonographers, or other licensed healthcare practitioners in clinical decision-making processes.

Heart Failure With Preserved Ejection Fraction

United States
Canada
Australia
New Zealand
Singapore
European Union
Mexico
Israel
Philippines
Brazil
Thailand
Taiwan
Indonesia
Vietnam
India

Singapore
United States
Canada
Australia
New Zealand
United Kingdom
Germany
France
India
China

Automated strain imaging with global longitudinal strain (GLS) quantification for heart failure detection

Regional strain analysis for coronary artery disease detection

Aortic stenosis measurements referencing ASE recommendations

Comprehensive quantitative analysis of cardiac structure and function, including left/right atrial and ventricular linear dimensions, volumes, systolic and diastolic function

Detection of cardiac amyloidosis and heart failure with preserved ejection fraction

Real-time fully automated image processing and analysis with reduced variability compared to human measurement

Explainable AI output allowing evaluation of all automated annotations and measurements

Automated generation of comprehensive reports

Integration of international guidelines into reports covering all heart chambers and both 2D and Doppler views

Decision support tools for qualified sonographers and reviewing physicians to edit and revise echocardiographic image measurements

Us2.connect server for enterprise-wide storage

Mobile device with AI guidance plus CW/PW/Tissue Doppler and all 2D views

PACS
Us2.connect server
Viz.ai platform
Aidoc's aiOS

Health Sciences Authority Singapore clearance

Regulatory clearances in Australia, New Zealand, Canada, United States, Singapore, European Union, Mexico, Israel, Philippines, Brazil, Thailand, Taiwan, Indonesia, Vietnam, India

BAA available
Consent management
Anonymization
Data minimization


Summary: Caption Interpretation Automated Ejection Fraction Software by Caption Health is an AI-driven tool that assists clinicians in accurately measuring ejection fraction during cardiac ultrasound exams, enhancing diagnostic precision and workflow efficiency.

Caption Interpretation Automated Ejection Fraction Software leverages artificial intelligence to guide clinicians through cardiac ultrasound procedures, ensuring accurate ejection fraction measurements. It offers real-time on-screen support, automated image capture, and quality assessment features, making cardiac ultrasound accessible to clinicians of varying experience levels. The software integrates with specific ultrasound devices, including the GEHC Venue Family, Butterfly iQ+, and Terason uSmart 3200T, providing tailored guidance and support for each device. Additionally, Caption Health has partnered with GE HealthCare to offer Verisound AI, a suite of AI solutions that enhance scan guidance, workflow productivity, and clinical decision support across ultrasound platforms. This collaboration aims to improve the quality and efficiency of cardiac imaging, facilitating better patient outcomes.

Clinicians
Cardiologists
Sonographers
Healthcare Providers
Medical Professionals
Hospitals
Medical Centers
Diagnostic Imaging Centers
Medical Device Manufacturers
Healthcare Institutions

Cardiology
Radiology
Emergency Medicine
Intensive Care
Primary Care
Sports Medicine
Geriatrics
Obstetrics And Gynecology
Pediatrics
Anesthesiology
Pulmonology
Nephrology
Endocrinology
Hematology
Oncology
Orthopedics
Rheumatology
Infectious Disease
Neurology
Family Medicine

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

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

Support for apical 4-chamber, apical 2-chamber, and parasternal long-axis views

Integration with DICOM-compliant PACS systems

Confidence metrics for ejection fraction estimates

User-friendly interface for clinicians of all experience levels

Automated clip selection from ultrasound exams

Quality Meter for diagnostic-quality images

AutoCapture tool for hands-free image recording

Caption Guidance for real-time scanning assistance

DICOM-compliant PACS systems
Ultrasound devices
Personal computers

Compatible ultrasound device, personal computer, or DICOM-compliant PACS system

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

FDA 510(k) clearance
FDA De Novo authorization
ISO 27001
SOC 2
GDPR

Data encryption
Role-based access control (RBAC)
Audit logs
Secure data storage
Regular security updates

Data anonymization
Consent management
Data minimization
Secure data storage
Regular privacy audits


Summary: SOMATOM CT Scanners by Siemens Healthineers offer a range of advanced imaging solutions designed to enhance diagnostic precision and workflow efficiency across various clinical applications.

SOMATOM CT Scanners are a series of computed tomography systems developed by Siemens Healthineers, featuring both single-source and dual-source technologies. These scanners are engineered to deliver high-resolution imaging with low radiation doses, supporting a wide array of clinical applications, including cardiac, neurological, and oncological imaging. They incorporate advanced features such as Dual Energy imaging, iterative reconstruction techniques, and user-friendly interfaces to optimize clinical workflows and patient care. Models like SOMATOM Drive and SOMATOM Force utilize Dual Source technology to provide rapid scanning capabilities, while models like SOMATOM go.Top and SOMATOM go.All are designed for cost-effective imaging solutions. Additionally, the SOMATOM On.site offers mobile CT imaging for bedside examinations, enhancing patient comfort and reducing transport risks. These systems are supported by Siemens Healthineers' comprehensive services and training programs, ensuring effective integration into healthcare facilities.

clinicians
radiologists
technologists
patients
hospital administrators

Cardiology
Neurology
Oncology
Orthopedics
Pediatrics
Emergency Medicine
Vascular Imaging
Trauma Care
Pulmonology
Gastroenterology
Urology
Gynecology
Ent
Endocrinology
Infectious Diseases
Rheumatology
Dermatology
Hematology
Immunology
Allergy

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

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

Contact Siemens Healthineers for detailed pricing information tailored to your facility's needs.

Compatibility with safety and radiation protection standards

FAST Planning
FAST Contact
FAST Spine (optional)

PACS
RIS
EHR
syngo.via visualization suite

Windows Server 2016 or later, Linux (CentOS 7 or later)

HIPAA
FDA 510(k)
IEC 60601
DIN EN ISO 13854
EN ISO 9241-5

FDA 510(k)
CE Marking
ISO 13485
ISO 9001
ISO 14001


Summary: MAGNETOM Terra is Siemens Healthineers' first 7T MRI scanner, offering advanced imaging capabilities for clinical and research applications.

MAGNETOM Terra is a 7 Tesla MRI scanner designed for diagnostic imaging, providing high-resolution imaging for both clinical and research purposes. It features a Dual Mode for seamless switching between clinical and research operations, with separate databases for each. The scanner offers double the signal-to-noise ratio (SNR) compared to 3T MRI systems, enabling higher resolution in anatomical and functional imaging. Its 50% lighter 7T magnet facilitates easier integration into clinical environments, including upper floors. The system includes advanced technologies such as Tim (Total imaging matrix) with up to 64 coil elements and receive channels, and XR Gradients (80 mT/m @ 200 T/m/s) for enhanced imaging performance. The scanner's specifications include a 60 cm bore size, 270 cm magnet length, and a minimum room size requirement of 65 m². It utilizes Zero Helium boil-off technology for efficient helium consumption and offers both passive and active shimming for optimal field uniformity. The system's RF technology includes Tim [32 x 32] and [64 x 64] configurations, supporting a wide range of imaging applications. MAGNETOM Terra is intended for patients weighing over 30 kg (66 lbs).

clinicians
researchers
radiologists
neuroscientists
medical physicists
MRI technologists

Neurology
Orthopedics
Cardiology
Oncology
Musculoskeletal Imaging
Functional Mri
Neuroimaging
Brain Imaging
Knee Imaging
Spinal Imaging
Vascular Imaging
Abdominal Imaging
Pelvic Imaging
Thoracic Imaging
Gastroenterology
Urology
Endocrinology
Pediatrics
Geriatrics
Sports Medicine

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

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

Dual Mode for clinical and research operations

Tim RF technology with up to 64 coil elements

High-resolution imaging with 0.2 mm in-plane resolution

MaRS computer for accelerated image reconstruction

Deep Resolve image reconstruction technology

Multinuclear imaging option for sodium and phosphorus imaging

syngo MR E11 software platform
MaRS computer system


Summary: Brainlab's Cranial Navigation system offers advanced neuronavigation solutions for precise and efficient neurosurgical procedures.

Brainlab's Cranial Navigation system integrates advanced imaging and navigation technologies to enhance the precision and efficiency of neurosurgical procedures. It offers features such as automatic registration with Loop-X, surface matching registration methods like Z-touch® and Softouch®, comprehensive approach planning, easy-to-use navigation interfaces, vascular navigation, and support for various intraoperative imaging modalities. The system also provides tools for robotic biopsy alignment, VarioGuide alignment, navigated disposable instruments, augmented reality visualizations, live intraoperative imaging, and intraoperative neuromonitoring, all aimed at improving surgical outcomes and patient safety.

Neurosurgeons
Surgeons
Operating Room Staff

Neurosurgery
Cranial Surgery
Spinal Surgery
Orthopedic Surgery
Ent Surgery
Plastic Surgery
Pediatric Surgery
Oncology
Vascular Surgery
Trauma Surgery
Orthopedics
Cardiothoracic Surgery
Urology
Gynecology
General Surgery
Oral And Maxillofacial Surgery
Ophthalmology
Otolaryngology
Plastic And Reconstructive Surgery

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

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

Automatic Registration for iMRI, iCT, and other imaging modalities

VarioGuide Alignment System Cranial Biopsy

Loop-X
iMRI
iCT
VarioGuide Alignment System
AVALANCHE® Plus
Microscope Navigation
Ultrasound Navigation
Intraoperative Neuromonitoring

Windows 10 or later, Linux kernel 4.4 or later, 16 GB RAM, 500 GB HDD

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

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


Summary: CINA-ASPECTS is an AI-powered tool developed by Avicenna.AI that automates the assessment of acute ischemic stroke severity using non-contrast CT scans, providing rapid and consistent ASPECTS scoring to support clinicians in decision-making.

CINA-ASPECTS is an AI-based quantification tool designed to facilitate faster, more consistent, and precise assessment of acute ischemic stroke severity. It automatically processes non-contrast CT scans to calculate the Alberta Stroke Program Early CT Score (ASPECTS), offering a heat map indicating the probability of hypodensity and/or sulcal effacement, outlining infarcted regions, and providing a summary chart with mean Hounsfield Unit per region. This standardized approach enhances the evaluation of ischemic stroke cases eligible for mechanical thrombectomy and/or intravenous thrombolysis (IVT).

Clinicians
Radiologists
Neurologists
Emergency Physicians

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

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

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

Automated detection of acute ischemic stroke

Calculation of Alberta Stroke Program Early CT Score (ASPECTS)

Heat map indicating hypodensity and sulcal effacement probabilities

Summary chart with mean Hounsfield Unit per region

Integration with third-party PACS systems

PACS
RIS
AI marketplace platforms
Viz.ai One platform

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
EU MDR 2017/745
FDA 510(k) clearance

CE Class IIb
FDA 510(k) cleared Class II


Summary: CINA-iPE is an AI-powered tool developed by Avicenna.AI that detects incidental pulmonary embolism in routine CT scans, enhancing early diagnosis and patient outcomes.

CINA-iPE is an AI-based solution designed to identify incidental pulmonary embolism (PE) in CT scans performed for other clinical indications. It integrates seamlessly into radiologists' workflows, automatically detecting lung blood clots and prioritizing cases for timely intervention. This tool is particularly beneficial in oncology patients, where incidental PE is a significant cause of mortality. CINA-iPE has been validated on 381 CT scans from 39 different scanner models, achieving excellent sensitivity and specificity. It received FDA clearance in March 2024 and is CE-marked, ensuring its safety and efficacy in clinical settings.

Radiologists
Emergency Physicians
Oncologists
Healthcare Administrators

Pulmonology
Oncology
Emergency Medicine
Radiology

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

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

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

Automated detection of incidental pulmonary embolism on CT/CTA

Case triage and prioritization (worklist reordering/flagging)

DICOM ingestion and processing (DICOM listener)

Inline visualization: overlays/heatmaps on images

Automated notifications/alerts to radiologists

Study-level metadata analysis and prioritization

Reporting and performance/quality metrics

Blackford Platform
TeraRecon
Contextflow
DeepC
Sectra
PACS
RIS
VNA
Radiology worklist

DICOM-compatible CT imaging source and PACS/RIS connectivity; network access for image transfer; vendor deployment (cloud or on-prem) specifics per customer

HIPAA
GDPR
FDA 510(k)
CE mark
EU MDR 2017/745

Encryption in transit and at rest
Role-based access control (RBAC)
Audit logging
SSO/SAML support (integration capable)
Secure network connectivity/VPN support

US and EU cloud regions; on-prem deployment available


Summary: SleepStageML is an FDA-cleared machine learning software by Beacon Biosignals that automates sleep staging from EEG signals in polysomnography recordings, enhancing the diagnosis and evaluation of sleep disorders.

SleepStageML utilizes advanced deep-learning algorithms to automatically score sleep stages from EEG signals in clinical polysomnography recordings. Trained on a vast dataset of hundreds of thousands of hours of PSG recordings from both healthy individuals and patients with various sleep disorders, neurologic, and psychiatric diseases, it aims to improve the consistency, efficiency, and precision of sleep staging. The software is FDA-cleared with a Predetermined Change Control Plan, allowing continuous improvements to its machine-learning algorithm within the scope of its initial clearance. This capability enables Beacon Biosignals to iteratively refine SleepStageML's algorithms over time while ensuring safety and efficacy standards are met. The software complements Beacon's Dreem 3S wearable headband, providing a comprehensive solution for measuring sleep architecture across home and clinical settings. Key benefits include automating the manual sleep staging process, reducing subjective variability in scoring, and supporting faster PSG analysis turnaround times. Clinical validation testing demonstrated that SleepStageML performs as well or better than individual human experts, as reported in literature. This advancement positions Beacon Biosignals as a premier technology partner for pharmaceutical companies, research institutions, and clinical trial organizations seeking to incorporate high-fidelity brain monitoring and sleep measurement into their neuroscience, psychiatry, sleep, and neurodegenerative disease research programs.

Clinicians
Researchers
Sleep Technologists
Healthcare Providers

Sleep Medicine
Neurology
Psychiatry
Neurodegenerative Diseases
Epilepsy
Alzheimer's Disease
Schizophrenia
Major Depressive Disorder
Narcolepsy
Lennox-gastaut Syndrome

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

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

Automated sleep staging from EEG signals

Advanced deep-learning model for sleep scoring

FDA 510(k) clearance for Dreem 3S headband

Predetermined Change Control Plan (PCCP) for continuous algorithm improvement

Clinical Study Operations
Scientific Services
Beacon Datastore
Beacon HQ
Waveband
Beacon Pal app

Dreem 3S EEG headband
Beacon Datastore
Beacon HQ
Beacon Pal app

High-performance computing resources for AI/ML processing

Data encryption
Access controls
Audit logs
Data anonymization
Compliance with SOC 2 Type 2
GDPR compliance
Automated cross-region backups
GCP-compliant retention policies

Data anonymization
Consent management
Data minimization
Compliance with GDPR
Automated cross-region backups
GCP-compliant retention policies


Summary: EdgeFlow UH10 is a handheld ultrasound device that noninvasively measures bladder volume using AI technology, providing quick and accurate assessments for healthcare professionals.

EdgeFlow UH10 is a handheld ultrasound device designed to noninvasively measure urine volume in the bladder. It utilizes deep learning AI to detect and outline the bladder in ultrasound images, calculates bladder volume, and displays results on its touchscreen. The device supports both B-mode and harmonic imaging, aiding healthcare professionals in quickly and accurately assessing bladder volume. Its ergonomic design features a lightweight, easy-to-grip probe suitable for both right- and left-handed users. The device includes a dual-function cradle station for charging and printing results, and offers advanced data management with built-in barcode scanning and data export via Wi-Fi and USB. The EdgeFlow UH10 has received FDA clearance and is marketed in various regions, including the United States and South Korea.

United States
South Korea
Germany
United Arab Emirates
Japan
China
Brazil
Colombia
Chile
India

English Korean German Arabic Japanese Chinese Portuguese Spanish Hindi Bengali

South Korea
United States
Germany
United Arab Emirates
Japan
China
Brazil
Colombia
Chile
India

DualActive probe technology for simultaneous transverse and sagittal scanning

Deep learning AI-powered LiveContour and MaxContour technologies for accurate bladder identification and volume calculation

Lightweight and compact design for portability

Built-in barcode camera for patient information

Data export via Wi-Fi and USB connection

Dual-function cradle for printing and charging

Patient medical monitors for blood pressure, heart rate, lung function, bladder function

Sensors and wearable monitors for biometric data collection

PACS
Electronic Health Records (EHR) systems
Hospital Information Systems (HIS)

Windows 10 or later, macOS 10.15 or later, Linux kernel 5.0 or later

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

Business Associate Agreement (BAA) available


Summary: iCAS-LV™ is an AI-driven software by HighRAD that automates lesion detection and volumetric analysis in liver CT scans, enhancing oncology reporting efficiency and accuracy.

iCAS-LV™ is an AI-powered software solution developed by HighRAD to automate the detection and volumetric analysis of lesions in liver contrast-enhanced CT (ceCT) scans. It aims to expedite oncology reporting by up to three times and streamline RECIST 1.1 documentation. The software provides accurate volumetric measurements for both known and unknown lesions, offers a multi-organ view for standardized reporting, and enables longitudinal comparison of findings across multiple studies. Performance metrics include an average lesion recall of 0.92±0.14 and a segmentation (Dice) score of 0.86±0.09.

Radiologists
Oncologists
Medical Imaging Professionals

Lesion segmentation using 3D U-Net deep learning models

Interactive lesion labeling and correction by radiologists

Semi-automatic lesion matching between scans

Quantitative analysis of lesion volume and diameter changes over time

Processing of multi-phase CT volume datasets in DICOM format

Output of quantitative data to PACS systems


Summary: BoneMRI is an AI-driven software that generates radiation-free, CT-like 3D images from MRI scans, enhancing bone visualization for spine and pelvic assessments.

BoneMRI is an AI-enabled software solution that creates radiation-free, CT-equivalent 3D images from MRI scans, facilitating comprehensive bone visualization for spine and pelvic anatomies in both adults and adolescents. It integrates seamlessly into clinical workflows, offering improved diagnostic information and patient-centered care without exposing patients or staff to harmful ionizing radiation. The software is FDA-cleared and CE-marked for various spinal regions and the pelvic area, supporting conditions such as scoliosis, spondyloarthritis, and degenerative spine diseases. BoneMRI is compatible with major MRI scanners and can be deployed via cloud solutions, reducing maintenance efforts and hardware dependencies. It has been integrated into surgical navigation systems, enabling radiation-free preoperative imaging and spinal navigation. The software is available in the United States and Europe, with support for multiple languages, and is offered through a subscription-based pricing model. The company, MRIguidance, was founded in 2016 and has offices in the Netherlands and the United States.

Orthopedics
Radiology
Spine Surgery
Pediatric Orthopedics
Sports Medicine
Rheumatology
Geriatrics
Neurology
Trauma Surgery
Oncology
Podiatry
Physiatry
Pain Management
Internal Medicine
Family Medicine
Emergency Medicine
Pediatric Surgery
Vascular Surgery
Plastic Surgery

United States
Europe
Netherlands
Germany
France
Italy
Spain
United Kingdom
Belgium
Sweden
Norway
Denmark
Finland
Austria
Switzerland
Poland
Canada

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

MRI-to-synthetic CT (3D CT-like) reconstruction

Sub-millimeter geometric bone morphology

Supports cervical, thoracic, lumbar spine and pelvic anatomies

Synthetic T1w image generation (optional contrast)

Automated background processing pipeline

PACS auto-forwarding and return of BoneMRI images

DICOM Web (DICOMweb) based transfer and DIMSE local PACS forwarding

De-identification and re-identification via local Gateway

GPU-accelerated cloud processing (on-demand GPUs)

Aligned MRI + BoneMRI output for surgical planning

Integration with surgical planning and navigation workflows

Dedicated MRI acquisition protocol / scanner sequence

Temporary cloud storage with automated deletion

Support for pediatric/adolescent use cases

Quality/quantitative HU-like contrast output

Extended anatomy support (planned: cranium, extremities)

GE MRI scanners (supported 1.5T GE mention)

Hospital IT networks / PACS auto-forwarding

Orthofix (commercial partner - distribution/commercial)

Lightweight Windows Gateway (on-prem) to forward/de-identify DICOM; hospital PACS integration; cloud GPU infrastructure (no local GPU required)

CE
FDA (cleared)
GDPR
ISO 27001
ISO 13485

FDA clearance(s) for BoneMRI
CE marking
ISO 13485 certification
ISO 27001 certification

Trusted DICOM node access control (IP/AET/port)

Minimal outgoing-only firewall footprint

Temporary data retention and automated deletion

Local de-identification before cloud transfer

Data minimization (transfer limited to specific tags)

Cloud processing with single cloud endpoint; vendor based in the Netherlands (EU) — region-specific hosting options not explicitly stated

With BoneMRI for Adolescents the young patient can be spared a significant radiation dose, while the surgeon obtains accurate information in 3D. I can also see a great promise for navigation and robotic surgery!

"4.9 out of 5" from G2.com
"4.8 out of 5" from Capterra.com
"4.7 out of 5" from HealthIT.com

GE Healthcare
Siemens Healthineers
Philips Healthcare
Canon Medical Systems
Hitachi Medical Systems


Summary: inHEART Models is an AI-driven software suite that creates detailed 3D digital models of the heart from CT and MR images, enhancing cardiac ablation procedures.

inHEART Models utilizes advanced AI algorithms to generate interactive 3D representations of cardiac anatomy, aiding in pre-procedural planning and intra-procedural guidance for ventricular tachycardia ablations. The software integrates seamlessly with major electroanatomic mapping systems, aiming to reduce procedure times and improve clinical outcomes.

3D heart modeling
Anatomical modeling
Electrophysiological modeling
Simulation of arrhythmias
Preoperative planning
Patient-specific modeling
Medical imaging integration
Cardiac modeling software
Virtual heart models
Cardiac simulation tools
Medical device software
Clinical decision support
Cardiac electrophysiology
Heart disease modeling
Cardiac surgery planning
Medical device integration
Patient-specific simulations
Cardiac arrhythmia modeling
Medical imaging analysis
Cardiac modeling solutions

Advanced simulation tools
Clinical data analysis
Real-time modeling
Predictive analytics
Clinical workflow integration
Patient monitoring integration
Medical device connectivity
Advanced visualization tools
Clinical decision support systems
Medical imaging processing

Picture archiving and communication systems (PACS)

Laboratory information management systems (LIMS)

Clinical trial management systems (CTMS)

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Access control
Data masking
Data anonymization
Data integrity

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

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