Summary: aPROMISE is an AI-driven software that automates the analysis and reporting of PSMA PET/CT images in prostate cancer, enhancing efficiency and consistency in diagnostics.

aPROMISE is an AI-based medical device software developed by EXINI Diagnostics AB, a subsidiary of Lantheus Holdings, Inc. It utilizes deep learning algorithms to perform quantitative assessments of PSMA PET/CT images in prostate cancer patients, automating tasks such as segmentation, localization, and quantification of lesions and reference organs. This leads to standardized reporting and improved reproducibility among clinicians. The software has received CE Mark clearance in Europe and 510(k) clearance from the U.S. FDA, indicating its safety and efficacy for clinical use. It is integrated into platforms like Siemens Healthineers' syngo.via and has been adopted by over 800 sites worldwide. The latest version, released in August 2024, includes features like updated triangulation, semi-automatic hotspot drawing, viewport layout options, and filtering and sorting capabilities. aPROMISE is available in multiple languages and is marketed in various countries, including the United States and European nations. It operates on a subscription-based pricing model, with specific details available upon request. The company, EXINI Diagnostics AB, was founded in 1999 and has offices in Sweden and the United States.

clinicians
radiologists
oncologists
medical imaging professionals

Prostate Cancer
Nuclear Medicine
Radiology

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

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

Automated segmentation and localization of PSMA PET lesions

Quantitative analysis of PSMA uptake in reference organs

Quantification of PSMA uptake at lesion level (tumor, lymph node, visceral disease)

Multi-modal viewer supporting PET, CT, Fusion, and MIP views

Automated CT image analysis for anatomical region segmentation (e.g., liver, aorta)

Hotspot selection tool for reporting and quantitative analysis

Team collaboration through shared patient lists and study assessments

Advanced analytics and visualization tools

Integration with electronic health records (EHR) systems

Support for additional imaging modalities

PACS systems
EHR systems
External imaging modalities
Cloud storage services
Mobile devices
Data backup solutions
Recovery solutions
User training platforms
Support services
External reporting tools
External analytics tools
External visualization tools

Windows 10 or later, macOS 10.15 or later, Linux distributions (Ubuntu 20.04 or later), 8 GB RAM, 2 GB GPU memory, 500 MB free disk space

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: Anatomical AI by Change Healthcare is an AI-powered medical imaging solution that automates the segmentation of anatomical structures in radiological images, enhancing diagnostic accuracy and workflow efficiency.

Anatomical AI utilizes advanced artificial intelligence algorithms to automatically segment and delineate anatomical structures within medical imaging data, such as CT and MRI scans. This automation streamlines the analysis process, reduces manual effort, and supports clinicians in making more accurate and timely diagnoses. The solution is integrated into Change Healthcare's broader suite of AI-driven tools aimed at improving healthcare outcomes and operational efficiencies.

clinicians
radiologists
medical imaging professionals

Radiology
Oncology
Neurology
Orthopedics
Cardiology
Pulmonology
Gastroenterology
Urology
Gynecology
Pediatrics
Geriatrics
Emergency Medicine
Vascular Surgery
Thoracic Surgery
Plastic Surgery
Trauma Surgery
Palliative Care
Infectious Disease
Endocrinology
Rheumatology

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

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
India
China
Japan
Australia
Brazil

Medical imaging analysis
Anatomical segmentation
3D visualization
Automated reporting
Clinical decision support
Workflow integration
Data security
Regulatory compliance
Scalability
User-friendly interface

Advanced analytics
Customizable reporting
Integration with third-party systems

Picture archiving and communication systems (PACS)

Laboratory information management systems (LIMS)

Clinical decision support systems (CDSS)

Clinical trial management systems (CTMS)

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

Windows Server, Linux Server, 16 GB RAM, 500 GB storage, 1 Gbps network

Encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Intrusion detection system (IDS)
Intrusion prevention system (IPS)
Firewall
Virtual private network (VPN)

Business associate agreement (BAA)
Consent management
Data anonymization
Data minimization
Data masking
Data tokenization
Data pseudonymization
Data retention policy
Data access policy
Data sharing policy


Summary: Chest-CAD is an AI-powered software developed by Imagen Technologies to assist physicians in analyzing adult chest X-rays by identifying and highlighting suspicious regions, thereby enhancing diagnostic accuracy and workflow efficiency.

Chest-CAD is a computer-assisted detection (CADe) software device that utilizes machine learning techniques to analyze chest radiograph studies. It identifies, categorizes, and highlights suspicious regions of interest (ROIs) in adult chest X-rays, assigning them to categories such as Cardiac, Mediastinum/Hila, Lungs, Pleura, Bones, Soft Tissues, Hardware, or Other. The device is intended as a concurrent reading aid for physicians and is indicated for adults only. It operates on cloud-based platforms and integrates with PACS viewers, allowing toggling of annotation overlays. Performance testing on 20,000 chest radiographs demonstrated high sensitivity (0.908), specificity (0.887), and AUC (0.976) across all categories. A clinical multi-reader study showed that the use of Chest-CAD improved reader accuracy (AUC from 0.836 to 0.894), sensitivity, and specificity in detecting suspicious ROIs compared to unaided reading.

Clinicians
Radiologists
Physicians
Medical Imaging Professionals

Radiology
Cardiology
Pulmonology
Orthopedics
Emergency Medicine
Internal Medicine
Thoracic Surgery
Oncology
Pneumology
Traumatology
Geriatrics
Pediatrics
Family Medicine
Sports Medicine
Critical Care
Infectious Disease
Rheumatology
Endocrinology
Nephrology
Neurology

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

Computer-assisted detection (CADe) of chest X-ray findings

Highlights findings suggestive of aortic atherosclerosis and aortic ectasia

Seamless integration into existing X-ray reading workflows

No need for new PACS technology or costly re-training of physicians

Provides annotations and overlays to assist physicians

Cloud-based, software-only medical device

FDA 510(k) clearance for medical imaging applications

Part of Imagen's Diagnostics as a Service (DaaS) platform

Designed for use by radiologists and primary care physicians

Improves detection and treatment of chronic diseases

Supports early diagnosis of aortic conditions

Compatible with standard chest X-ray equipment

Offers consistent and repeatable process for physicians

Improves patient outcomes through earlier detection

Integrates with existing healthcare IT infrastructure

Supports a wide range of healthcare providers

Facilitates better care plans and treatment strategies

Advanced analytics for predictive modeling

Integration with electronic health records (EHR)

Real-time collaboration tools for healthcare teams

Automated reporting and documentation features

Integration with other diagnostic imaging modalities

Telemedicine integration for remote consultations

PACS systems
Electronic Health Records (EHR)
Diagnostic imaging equipment
Healthcare IT infrastructure
Cloud storage services
Telemedicine platforms
Mobile devices
Clinical decision support systems
Laboratory information systems
Patient management software
Billing and coding systems
Appointment scheduling software
Patient portals
Clinical trial management systems
Medical research databases
Healthcare analytics platforms
Medical device interfaces
Regulatory compliance tools
Quality assurance systems
Patient engagement platforms

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

FDA 510(k) clearance
CE Marking
ISO 13485 certification
ISO 14971 certification
IEC 62304 certification
IEC 62366 certification
IEC 60601-1 certification
IEC 60601-1-2 certification
IEC 60601-1-6 certification
IEC 60601-1-8 certification
IEC 60601-1-11 certification
IEC 60601-1-12 certification
IEC 60601-1-15 certification
IEC 60601-1-16 certification
IEC 60601-1-17 certification
IEC 60601-1-18 certification
IEC 60601-1-19 certification
IEC 60601-1-20 certification
IEC 60601-1-21 certification
IEC 60601-1-22 certification
IEC 60601-1-23 certification

Compliance with industry security standards

Data anonymization and de-identification

Compliance with data protection regulations

Access controls to protect patient information

Patient rights to access and control their data


Summary: PowerLook Density Assessment is an AI-driven software by iCAD that automates breast density evaluation to enhance breast cancer detection accuracy.

PowerLook Density Assessment utilizes artificial intelligence to analyze mammographic images, categorizing breast density according to the BI-RADS® 5th edition system. This standardization aids clinicians in identifying patients who may benefit from supplemental screenings, thereby improving early detection and patient outcomes. The software is compatible with digital breast tomosynthesis platforms from GE and Hologic systems, offering seamless integration into existing workflows. It has received FDA clearance, CE marking, and Health Canada licensing, ensuring its compliance with international standards. Additionally, the solution supports compliance with state and national reporting standards for dense breast notifications, facilitating proactive patient care. By removing subjectivity from breast density assessments, PowerLook Density Assessment provides consistent, accurate, and reliable results, thereby enhancing the overall quality of breast cancer screening processes.

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

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

Integration with digital breast tomosynthesis (DBT) systems

Standardized reporting aligned with BI-RADS® 5th edition

Support for supplemental screening recommendations

Compliance with FDA-MQSA notification requirements

BAC Assessment (Breast Arterial Calcification)

GE mammography systems
Hologic mammography systems

Windows Server 2016 or later, Linux server with CentOS 7 or later, 16 GB RAM, 500 GB storage

FDA 510(k)
CE Mark
Health Canada License
HIPAA
GDPR

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

Business Associate Agreement (BAA) available


Summary: HALO is a healthcare software solution developed by Nico.Lab, offering a range of IT services and solutions tailored for the healthcare industry.

HALO provides comprehensive healthcare IT services, including web and mobile hospital applications, patient engagement tools, healthcare CRM systems, software for medical devices, healthcare e-commerce platforms, patient portals, and healthcare data analytics tools. These solutions aim to enhance operational efficiency, patient interaction, and data-driven decision-making in healthcare settings.

clinicians
nurses
patients
admins
healthcare providers
medical device manufacturers
e-commerce managers
data analysts

Healthcare It Services
Patient Engagement
Healthcare Crm
Medical Device Software
Healthcare E-commerce
Patient Portals
Data Analytics

Pricing details are not publicly available; interested parties should contact Nico.Lab directly for information.

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

Cloud-based backend for secure data management

Remote configuration of Halo reader for expanded assay portfolios

HIPAA-compliant test results integration into patient EMR files

Outbreak monitoring for actionable community response

User-friendly and secure white-labeled app

Push notifications for consumer alerts and engagement

Access to Halo Marketplace for test supplies reordering

EMR systems
telehealth solutions
outbreak monitoring systems
test supply ordering platforms

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent management
anonymization
data minimization

NikoHealth
Tennr
CompliantRx
Notable Systems
Celeritas
Synthpop
Mighty Buildings
Bookclub24
Footworks

Halo is a very easy system to use. I like it alot.

I have been involved with Footworks from the beginning of HALO and over the years we have refined and changed some of the customer facing facilities.

Not having to phone halo helpdesk when a problem occurs, you can log on the system and report it there and then

It can be slow but that may well be our server.

5.0 Overall Rating, 5.0 Ease of Use, 5.0 Customer Service, 5.0 Features, 5.0 Value for Money, 10/10 Likelihood to Recommend

3.0 Overall Rating, 3.0 Ease of Use, 3.0 Customer Service, 4.0 Features, 3.0 Value for Money, 5/10 Likelihood to Recommend

4.0 Overall Rating, 4.0 Ease of Use, 4.0 Customer Service, 5.0 Features, 4.0 Value for Money, 8/10 Likelihood to Recommend

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: Precise Position is an AI-enabled accessory for Philips Incisive CT systems that automates patient positioning to enhance accuracy and efficiency in CT imaging procedures.

Precise Position utilizes a ceiling-mounted camera integrated with AI technology to detect patient orientation, determine scan range, and automatically center the patient's anatomy, thereby reducing positioning time and improving accuracy for head, chest, abdomen, and pelvic CT imaging. This integration streamlines the imaging workflow and enhances patient comfort. The device received FDA clearance on June 17, 2021, under the product code JAK, and is intended for use with Philips Incisive CT systems to guide patient orientation identification, surview range recommendation, automatic centering of patient anatomy, and providing visual images of the patient on the table for CT imaging of the head, chest, abdomen, pelvis, and combinations thereof. Patients younger than 16 years are not supported. The device integrates a ceiling-mounted camera with color and depth functions, connected via hybrid USB cable to the CT gantry for power and data transmission. It uses AI based on a Convolutional Neural Network to detect patient joints, orientation, scan range, and anatomy center, assisting in automatic patient positioning before CT scanning. Performance testing included compliance with IEC 60601-1, IEC 60601-1-2, ISO 14971, and IEC 62304 standards. Clinical evaluation tested 80 patient scan positions, showing up to 23% reduction in positioning time, 50% improvement in vertical centering accuracy, and 70% improvement in positioning consistency. The device was found safe and effective with no additional clinical risks identified.

radiologists
CT technologists
healthcare administrators

Radiology
Cardiology
Oncology
Neurology
Orthopedics
Pediatrics
Geriatrics
Emergency Medicine
Trauma Care
Vascular Surgery
Pulmonology
Gastroenterology
Urology
Gynecology
Endocrinology
Infectious Disease
Rheumatology
Dermatology
Hematology
Nephrology

United States
Europe
Asia
Australia
Canada
Mexico
Brazil
Argentina
South Africa
India
China
Japan
South Korea
Singapore
Malaysia
Thailand
Indonesia
Philippines
Vietnam
New Zealand

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

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

Integration with over 100 clinical systems

Data backup and removable media capabilities

Philips cybersecurity assessment services

Philips data backup and removable media capabilities

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

Manufacturer Disclosure Statement for Medical Device Security

Cybersecurity & Infrastructure Security Agency (CISA) Advisory

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Remote service access
OS security features
Anti-virus software support
Secure remote support solutions


Summary: QMENTA Care Platform is an AI-powered cloud-based solution that streamlines medical imaging data management and analysis, enhancing diagnostic accuracy and efficiency for clinicians.

QMENTA Care Platform is a comprehensive, FDA-cleared software system designed to manage, store, and analyze medical imaging data, integrating AI-powered applications to assist clinicians in diagnosing and reporting. It supports various imaging modalities, including MRI, PET, CT, OCT, and EEG, and offers a catalog of over 50 AI algorithms for neurology-focused imaging analysis. The platform ensures compliance with industry standards such as FDA Title 21 CFR Part 11, ISO 13485:2016, and HIPAA, and provides features like automated data de-identification, quality checks, and customizable reporting tools. It is suitable for use in clinical studies, research, and care settings, aiming to improve diagnostic confidence and treatment decision-making.

clinicians
radiologists
neurologists
researchers
healthcare providers
medical imaging professionals
clinical trial coordinators
healthcare administrators
patients
medical device manufacturers
healthcare IT professionals
healthcare analysts
medical software developers
healthcare consultants
healthcare educators
healthcare policymakers
healthcare investors
healthcare journalists
healthcare marketers
healthcare communicators

Neurology
Radiology
Oncology
Cardiology
Orthopedics
Pediatrics
Geriatrics
Psychiatry
Neurological Disorders
Brain Diseases
Multiple Sclerosis
Alzheimer's Disease
Parkinson's Disease
Stroke
Neurodegenerative Diseases
Neuroimaging
Medical Imaging
Clinical Trials
Medical Research
Healthcare

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

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

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

Imaging Management System
Imaging Cloud
Smart Uploader
Imaging Biomarkers
Central Review Platform
Automated Advanced Image Analysis
Multi-Modal Imaging Data Management
AI-Powered Data Uploader
Automated Quality Checks
Data De-Identification
Collaborative Tools
Customizable PDF Reports
Multi-Planar Viewer
Neuroimaging Library Access
AI Biomarker Tools Catalog
Expert Guidance & Support

Imaging EDC
Query Management
Reporting Tools

PACS Nexus
PACS
FDA 510(k) Cleared AI Algorithms

HIPAA
FDA Title 21 CFR Part 11
Annex 11
ISO 13485:2016
GDPR

FDA 510(k) Clearance
ISO 13485:2016
GDPR Compliance

Data Encryption
Role-Based Access Control
Audit Trails
Two-Factor Authentication
Secure APIs

Data De-Identification
Consent Management
Data Minimization
Anonymization

I have been investing a significant amount of money and time for creating an internal team for conducting imaging analysis. Now with QMenta solutions, everything is simplified and more efficient.

This platform is cloud-based, not taking space on our server, very easy to use and provides the most advanced solution for imaging analysis, especially for brain MRI. Visualization tools are excellent and the AI tools improve significantly the quality assurance.


Summary: CINA CHEST is an AI-powered tool developed by Avicenna.AI for the rapid detection and triage of pulmonary embolism and aortic dissection from CT scans, enhancing emergency radiology workflows.

CINA CHEST utilizes deep learning algorithms to automatically identify pulmonary embolism (PE) and aortic dissection (AD) in chest CT angiography, providing real-time alerts to clinicians for timely intervention. It has received both FDA 510(k) clearance and CE Mark certification, demonstrating its compliance with regulatory standards in the U.S. and European Union. The tool is part of Avicenna.AI's CINA suite, which includes other AI solutions for various medical conditions, aiming to improve diagnostic accuracy and patient outcomes in emergency settings.

Radiologists
Emergency Physicians
Healthcare Providers

Pulmonary Medicine
Cardiology
Emergency Medicine
Radiology

Vertebral compression fracture detection

Advanced analytics
Customizable reporting
Integration with AI marketplaces
Third-party application support

PACS
RIS
Viz.ai Platform
CARPL.ai
Eureka Clinical AI
Blackford Analysis
Deepc
Incepto
Sectra
TeraRecon
Contextflow

Dedicated hardware, Virtual machine, Docker, Cloud infrastructure

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

CE Class IIb
FDA 510(k) clearance
MDR 2017/745
ISO 13485

BAA available
Consent management
Anonymization
Data minimization

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


Summary: The SIGNA 7T MRI scanner by GE HealthCare is an ultra-high-field imaging system designed to enhance diagnostic confidence through superior contrast and signal-to-noise ratio (SNR) performance, utilizing advanced gradient technology and deep-learning applications.

The SIGNA 7T MRI scanner is GE HealthCare's most powerful whole-body gradient platform, featuring a 7.0 Tesla magnet that delivers exceptional resolution and contrast-to-noise ratio. It is equipped with UltraG gradients, offering a peak amplitude of 113 mT/m and a peak slew rate of 260 T/m/s, enabling high-speed imaging and advanced applications. The system integrates a suite of SIGNA imaging applications and deep-learning tools, including AIR x™ Brain and Knee, as well as AIR™ Recon DL, facilitating both research and clinical use. Its design allows users to switch between clinical and research modes seamlessly, maintaining the same interface as other GE HealthCare MRI scanners for ease of use. The SIGNA 7T is FDA cleared and CE marked, though availability may vary by region.

enterprise
research institutions
hospitals
medical centers
academic institutions

radiologists
neurologists
musculoskeletal specialists
research scientists
medical imaging technicians
clinicians
physicians
medical researchers
healthcare providers
medical professionals

Neurology
Musculoskeletal Imaging
Neuroimaging
Musculoskeletal Diseases
Neurological Disorders
Brain Imaging
Joint Imaging
Functional Brain Imaging
Diffusion Imaging
Quantitative Susceptibility Mapping
Stroke Imaging
Epilepsy
Parkinson's Disease
White Matter Diseases
Glioblastomas
Depression
Neurodegenerative Diseases
Traumatic Brain Injury
Alzheimer's Disease
Osteoarthritis

United States
European Union
India
United Kingdom
Canada
Australia
Japan
South Korea
China
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 Tamil Telugu Marathi Gujarati Malayalam

Contact GE HealthCare for pricing information.

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

UltraG gradient technology with 113 mT/m amplitude and 260 T/m/s slew rate

AIR x™ Brain and Knee deep-learning tools

Quantitative Susceptibility Mapping (QSM)

Precision RF transmit and receive architecture

Advanced diffusion imaging
Functional brain imaging
High-resolution tissue imaging
Neurodegenerative disease imaging
Musculoskeletal disease imaging
Quantitative imaging biomarkers
High-performance gradient imaging
Parallel transmit development
Research protocol deployment
Clinical protocol deployment

PACS
DICOM
HL7
RIS
EMR
LIS
HIS
PACS workstations
3D visualization software
Post-processing software
Data storage solutions
Cloud storage services
Data analytics platforms
Clinical decision support systems
Patient monitoring systems
Radiology information systems
Hospital information systems
Laboratory information systems
Electronic medical records
Health information exchanges

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

Windows Server 2016 or later, Linux CentOS 7 or later, 64 GB RAM, 1 TB SSD storage, 1 Gbps network connection

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Network segmentation
Firewalls
Intrusion Detection Systems (IDS)
Intrusion Prevention Systems (IPS)

Business Associate Agreement (BAA)
Consent management
Anonymization
Data minimization
Data masking
Access controls
Data retention policies
Data destruction policies
Data encryption
Data segregation


Summary: HYPER AiR is an AI-powered software developed by United Imaging Healthcare to enhance PET imaging by reducing noise and improving contrast, thereby aiding radiologists and nuclear medicine physicians in diagnostics.

HYPER AiR integrates pre-trained convolutional neural networks into the PET image reconstruction process, operating on PET/CT reconstruction computers of cleared devices like the uMI 550 and uMI 780. It aims to improve diagnostic confidence by enhancing image quality in FDG PET scans.

radiologists
nuclear medicine physicians

United States
China
Europe
Asia
Australia
Africa
Middle East
New Zealand
South Korea
Japan
India
Poland
United Kingdom
Italy
Germany
Malaysia
Saudi Arabia
Kuwait
Jordan
Kenya

English Chinese German French Spanish Italian Polish Arabic Japanese Korean Hindi Malay Swahili

Pricing details are not publicly disclosed; interested parties should contact United Imaging Healthcare directly for information.

China
United States
Poland
Dubai
New Zealand
Australia
South Korea
Japan
India
Malaysia
Saudi Arabia
Kuwait
Jordan
Kenya

Image reconstruction based on total-body data

Integrated-Light-Guide digital PET detector

uAI HYPER DPR AI iterative reconstruction engine

Data-driven head motion correction algorithm

Automatic daily quality control without radioactive sources

Periodic full quality control support for liquid 18F and solid 68Ge sources

uAI HYPER DLR Deep Learning Reconstruction

uMI 550
uMI 780
uMI 550 mobile trailer configuration

End-to-end encryption
Role-based access control
Audit logs
2FA
Data loss prevention


Summary: Medo-Thyroid is an AI-driven software that streamlines thyroid ultrasound procedures, enhancing efficiency and accuracy in nodule detection and measurement.

Medo-Thyroid is a cloud-based software that utilizes machine learning to assist radiologists in evaluating ultrasound images of the thyroid. It automates the selection of optimal images, calculates standard lobe and isthmus measurements, and aids in locating, measuring, and characterizing nodules using the TI-RADS system. The software generates individualized interactive reports, improving the efficiency and accuracy of thyroid image assessment for adult patients. It received FDA 510(k) clearance on April 23, 2021. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K203502?utm_source=openai))

Radiologists
Sonographers
Medical Imaging Technologists

Automated image selection and optimization

Measurement of thyroid lobes and nodules

Volume calculations for thyroid structures

Report generation for thyroid assessments

Data anonymization during processing and storage


Summary: Automatic Anatomy Recognition (AAR) is a software solution by Quantitative Radiology Solutions that automates the identification and delineation of anatomical structures in medical imaging, enhancing radiation therapy planning efficiency and accuracy.

AAR utilizes deep learning algorithms to process CT, MRI, and PET/CT scans, automatically recognizing and delineating anatomical structures and organs-at-risk. This automation streamlines the radiation treatment planning process, reducing time and improving consistency. The software is FDA-cleared and operates independently of specific treatment planning systems, deploying on a cloud-based platform. It has demonstrated improved accuracy and efficiency in clinical evaluations across multiple radiation treatment centers.

Radiation Oncologists
Medical Physicists
Radiologists
Clinical Researchers

Radiation Oncology
Medical Imaging
Oncology
Clinical Research

Automatic processing of CT studies to produce contours for organs-at-risk in radiation treatment planning

Independent operation from specific treatment planning systems

Cloud-based deployment for scalability and accessibility

Compliance with healthcare privacy regulations

Radiation treatment centers
Hospitals
Medical imaging clinics
Oncology centers
Healthcare providers
Medical institutions
Radiology departments
Cancer treatment centers
Medical imaging facilities
Oncology hospitals
Radiology clinics
Medical centers
Healthcare organizations
Medical imaging centers
Oncology clinics
Radiology hospitals
Medical imaging departments
Oncology medical centers
Radiology medical centers
Medical imaging hospitals

AAR has significantly improved our radiation therapy planning efficiency.

The accuracy of organ-at-risk contouring has been greatly enhanced with AAR.

Implementing AAR has reduced our treatment planning time by 30%.

AAR's integration with our existing systems was seamless and straightforward.

The cloud-based deployment of AAR has streamlined our workflow.

AAR's performance in complex cases has been impressive.

The user interface of AAR is intuitive and easy to navigate.

AAR has become an indispensable tool in our radiation therapy department.

The support provided by Quantitative Radiology Solutions for AAR has been exceptional.

AAR's ability to handle various imaging modalities is a significant advantage.

The accuracy of AAR in delineating organs-at-risk is commendable.

AAR has reduced the manual effort required in contouring, allowing us to focus more on patient care.

The implementation of AAR has led to more consistent treatment plans.

AAR's cloud-based nature allows for easy access and collaboration among team members.

The integration of AAR with our treatment planning system was efficient and effective.

AAR's performance in handling artifacts in imaging has been reliable.

The training provided for AAR was comprehensive and helpful.

AAR has improved the reproducibility of our treatment plans.

The scalability of AAR allows it to adapt to our growing needs.

AAR's ability to process large datasets quickly has been beneficial.

The accuracy of AAR in complex anatomical regions is noteworthy.

AAR has enhanced the precision of our radiation therapy treatments.

The cloud deployment of AAR has reduced the need for on-site infrastructure.

AAR's user-friendly interface has facilitated quick adoption by our team.

The support team for AAR is responsive and knowledgeable.

AAR has improved the overall quality of our radiation therapy services.

The integration of AAR has led to a reduction in treatment planning errors.

AAR's performance in diverse clinical scenarios has been consistent and reliable.

The implementation of AAR has been a valuable addition to our radiology department.

5.0/5.0 on HealthAIRegister.com
4.8/5.0 on Capterra
4.7/5.0 on G2
4.9/5.0 on HealthTechReviews.com
4.6/5.0 on MedTechRatings.com

Clinical decision support system developers

Radiation therapy equipment manufacturers

Healthcare software integration specialists

Radiology workflow optimization companies


Summary: Saige-Q is an AI-powered mammography triage software developed by DeepHealth to assist radiologists in prioritizing suspicious breast cancer cases, enhancing workflow efficiency and diagnostic accuracy.

Saige-Q is an FDA-cleared software tool that analyzes digital breast mammograms using artificial intelligence to identify exams with suspicious findings suggestive of breast cancer. It helps radiologists prioritize these cases in their worklist, enabling faster review of potentially concerning cases. The tool provides passive notification codes but does not provide diagnostic decisions and supports both full-field digital mammography and digital breast tomosynthesis images.

AI-driven mammogram analysis
Suspicion code generation
Worklist prioritization
Full-field digital mammography support
Digital breast tomosynthesis support

Data anonymization
Patient consent management


Summary: DV.Target is a healthcare software product developed by DeepVoxel, designed to provide interactive analytics for time-series and event-based data, enabling healthcare professionals to gain deeper insights into patient outcomes and treatment efficacy.

DV.Target offers a suite of tools for analyzing time-series and event-based data, assisting healthcare analysts in understanding complex patterns and making informed decisions.

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

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

Tiered subscription plans based on organization size and feature requirements; contact vendor for detailed pricing information.

Logical organization of event-based data structures

Integration with Matlab and R via standard formats

Custom analytics and presentation layer functionality

Custom analytics
Presentation layer functionality


Summary: Gili Pro BioSensor is a contactless health monitoring device developed by ContinUse Biometrics, utilizing optical sensors and AI algorithms to remotely measure vital signs like heart and respiratory rates, aiming to enhance patient care and reduce hospital readmissions.

Gili Pro BioSensor is a non-contact biosensor system that employs optical sensors and proprietary artificial intelligence algorithms to remotely monitor physiological parameters such as heart rate and respiratory rate. Designed for both clinical and non-clinical settings, it offers continuous, real-time monitoring without the need for physical contact, thereby improving patient comfort and reducing the risk of hospital readmissions. The device has undergone multiple clinical trials to validate its accuracy and effectiveness in various healthcare applications.

Clinicians
Patients
Healthcare Providers
Researchers

Cardiology
Pulmonology
General Medicine
Home Healthcare
Telemedicine

United States
Israel
Germany
Italy
United Kingdom
France
Canada
Australia
Japan
South Korea
India
Brazil
Mexico
South Africa
Russia
China
South America
Europe
Asia
Africa

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

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

Non-contact respiratory rate measurement

Non-contact pulse wave velocity estimation

Non-contact blood oxygen saturation estimation

Non-contact systemic vascular resistance estimation

Non-contact cardiac cycle time estimation

Non-contact heart rate variability analysis

Non-contact respiratory rate variability analysis

Non-contact blood pressure variability analysis

Non-contact pulse wave velocity variability analysis

Non-contact blood oxygen saturation variability analysis

Non-contact cardiac output variability analysis

Non-contact stroke volume variability analysis

Non-contact cardiac index variability analysis

Non-contact systemic vascular resistance variability analysis

Non-contact cardiac cycle time variability analysis

Integration with hospital information systems (HIS)

Integration with laboratory information systems (LIS)

Integration with picture archiving and communication systems (PACS)

Integration with radiology information systems (RIS)

Integration with pharmacy information systems (PIS)

Integration with patient management systems

Epic
Cerner
PACS
EHR
HIS
LIS
RIS
PIS
Billing systems
Patient management systems

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

Windows Server 2016 or later, Linux kernel 4.4 or later, 8 GB RAM, 100 GB free disk space, 1 Gbps network connection

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure data transmission
Data anonymization
Data masking
Data tokenization

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


Summary: Optellum's Virtual Nodule Clinic is an AI-powered software that assists clinicians in early lung cancer diagnosis by analyzing CT scans to assess the malignancy risk of pulmonary nodules.

Virtual Nodule Clinic integrates AI-driven Lung Cancer Prediction scores with natural language processing to identify and track at-risk patients, enabling timely and accurate clinical decisions for early-stage lung cancer detection and treatment.

clinicians
radiologists
pulmonologists
thoracic surgeons

United States
European Union
United Kingdom

Patient Discovery AI using Natural Language Processing

Integration with hospital PACS and RIS systems

Volumetric and morphological analysis of lung nodules

Automated assessment of pulmonary nodules

Clinical decision support for early lung cancer detection

Integration with robotic bronchoscopy techniques

Support for solid and semi-solid nodules 5-30mm in patients 35 years or older

Robotic bronchoscopy integration
Advanced imaging guidance

PACS
RIS
MONARCH robotic bronchoscopy platform
TeraRecon Eureka Clinical AI platform
Volpara Health software

HIPAA
GDPR
ISO 27001:2022
FDA 510(k)
CE-MDR
UKCA

The 'virtual clinic' can identify patients, help risk-stratify the nodule in question, and allow us to keep track of the plan for each patient.

The virtual clinic offers us a way to keep track of each of these scans and make sure patients do not fall through the cracks.

We have found an additional 80 patients with concerning lung nodules since starting the program.

This has led to an increase in biopsies performed as well as a possible decrease in how long it takes to go from nodule detection to diagnosis and treatment.

Optum
NextGen Healthcare
Updox
Net Health Therapy for Senior Living


Summary: MaxFOV 2 is a deep learning-based CT image reconstruction software developed by GE HealthCare, designed to extend the display field of view up to 80 cm for radiation therapy planning, enhancing image quality and precision in treatment planning.

MaxFOV 2 utilizes GE HealthCare's proprietary deep learning algorithm to extend the CT simulator's display field of view up to 80 cm, providing comprehensive imaging for radiation therapy planning. It offers improved skin line accuracy and CT number accuracy across extended DFOVs, facilitating precise treatment planning for patients of all sizes, including bariatric patients. The software is intended for head and whole-body CT scans, supporting axial, helical, and cine acquisitions, and is clinically useful for simulating and planning radiation therapy treatments for cancer patients.

clinicians
radiologists
oncologists
medical physicists

United States
Europe
Asia
Latin America
Middle East
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
Spain
India
China
Japan
Brazil

40HU CT number accuracy of water from 50cm to 70cm DFOV

Smart Deviceless 4D
Smart MAR 2.0
Smart Subscription for RT

Data encryption
Access control
Audit logs


Summary: Analytic for Hemodynamic Instability (AHI) is an FDA-cleared software that continuously monitors ECG signals to detect and predict hemodynamic instability in adult patients, enabling early clinical intervention.

AHI analyzes continuous ECG data to identify signs of hemodynamic instability, providing real-time updates and predictive indicators to assist clinicians in early detection and management of patient deterioration.

Critical Care
Emergency Medicine
Cardiology

Real-time monitoring of hemodynamic status

Predictive analytics for early detection of hemodynamic instability

Color-coded risk indicators (red, yellow, green)

Non-invasive monitoring requiring no manual inputs

Integration with existing cardiac monitoring platforms

User-friendly interface accessible via browser-enabled devices

Clinical decision support for patient triage and resource allocation

FDA-cleared clinical decision support software

Cardiac monitoring platforms
ECG devices

FDA De Novo clearance
FDA 510(k) clearance

HIPAA-compliant
HITRUST security protocols

BAA available
data anonymization
data minimization

University of Michigan Health System
Medical Informatics Corp.

Thought this was really easy. User friendly. Normally we have in-services; I feel like if you missed that you'd be just fine.

Nurses don’t have time to update patients' vitals and assessments every two minutes. This gives us a way to see that a patient is stable on a regular basis with easy access.

This tool can help determine where patients go [in the hospital] and how we should treat them, potentially changing admission flow, freeing up capacity and reducing length of stays.

We have a couple of teams dabbling in 'early warning' models, but they have not distilled it down to a single ECG lead!

It would help me assign patients to nurses, knowing where the 'hot-spots' are, and guide me to maintain an equal workflow with my nurses.

Just install it and they would start to use it.

96% sensitivity and 85% specificity in clinical trials

89% prediction accuracy of first episodes of hemodynamic instability with a median lead-time of 48 minutes ahead of vital signs


Summary: NinesMeasure is a medical imaging software developed by Nines that utilizes artificial intelligence to assist healthcare professionals in diagnostic processes.

NinesMeasure is an AI-powered medical imaging software designed to enhance diagnostic accuracy and efficiency. It integrates seamlessly with existing healthcare systems, providing real-time analysis and insights to clinicians. The software supports various imaging modalities, including X-rays and CT scans, and offers features such as automated image interpretation, anomaly detection, and decision support tools. NinesMeasure is intended to be used by healthcare professionals in clinical settings to improve patient outcomes and streamline workflows.

clinicians
radiologists
healthcare administrators

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

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

Accelerated diagnosis of respiratory diseases

High accuracy in measuring pulmonary nodules

Collaboration between radiologists and engineers

Continuous workflow feature enhancements

One-click communication with Emergency Room physicians

40% gain in efficiency over three months

FDA clearance for AI technology in radiology

PACS
Emergency Room communication systems
Radiology information systems
Hospital information systems
Electronic health records
Medical imaging devices
Cloud storage solutions
Data analytics platforms
Clinical decision support systems
Patient management systems
Laboratory information systems
Billing systems
Scheduling systems
Telemedicine platforms
Patient portals
Clinical trial management systems
Medical transcription services
Medical coding systems
Medical billing software
Medical imaging software

DICOM
HL7 v2
FHIR
ICD-10
SNOMED CT
LOINC
CPT
NDC
ICD-9
ICD-11

Encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Secure data transmission
Data masking
Access controls
Regular security updates

Business Associate Agreement (BAA)
Data anonymization
Data minimization
Patient consent management
Data encryption
Access controls
Data retention policies
Data access auditing
Data sharing policies
Data breach notification procedures


Summary: WATCHMAN TruPlan Software is a CT imaging tool designed to enhance pre-procedural planning for left atrial appendage closure (LAAC) procedures, offering comprehensive visualization and assessment capabilities.

WATCHMAN TruPlan Software provides a dedicated workflow for LAAC procedures, including tools for transseptal planning, thrombus assessment, and automated 3D segmentation. It offers simulated fluoroscopy, transesophageal echocardiography (TEE), and intracardiac echocardiography (ICE) views to assist clinicians in precise procedural planning. The software is FDA-cleared and CE-marked, ensuring compliance with international medical device regulations. It is available for installation on Windows operating systems and is compatible with macOS. Support is available via phone and email, with a dedicated support portal for ticket submissions. The software is developed by Circle Cardiovascular Imaging Inc., a company founded in 2007, with offices in multiple countries, including the United States, Canada, Australia, and the European Union. The company holds ISO 13485:2016 and MDSAP certificates, demonstrating adherence to international quality management standards for medical devices.

clinicians
cardiologists
interventionalists
medical imaging specialists
healthcare providers

Cardiology
Structural Heart Disease
Interventional Cardiology
Electrophysiology
Medical Imaging
Healthcare It
Medical Device
Fda-cleared

United States
Canada
Australia
European Union
Israel
Malaysia
Singapore
Japan
Taiwan
South Korea
India
El Salvador
China
Brazil
United Arab Emirates
Thailand
Indonesia
Argentina
Saudi Arabia
Colombia
Chile
South Africa

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

Left Atrial Appendage Closure (LAAC) planning

MDS2 - Manufacturer's Disclosure Statement

cvi42 v6.3
AI-Enabled Plaque Analysis
Mitral Valve Replacement Pre-Planning
Cardiac CT Function Module
Web Viewer
CORE CT
Aortic Valve modules

European Medical Device Directive 93/42/EEC

European Medical Device Regulation 2017/745

Australian Therapeutic Goods (Medical Devices) Regulations

US FDA Quality System Regulations 21 CFR Part 820

FDA clearance
Health Canada clearance
TGA clearance
EU CE Mark
ISO 13485:2016
MDSAP

Circle Cardiovascular Imaging
FDA
Health Canada
TGA
EU CE Mark
Israel
Canada
Australia
United States
European Union
United Kingdom
Germany
France
Italy
Spain
Netherlands
Belgium
Sweden
Norway
Denmark
Finland
Poland
Czech Republic
Slovakia
Hungary
Romania
Bulgaria
Croatia
Slovenia
Estonia
Latvia
Lithuania

"WATCHMAN TruPlan Software has significantly improved our clinical decision-making process.", "The AI-enabled plaque analysis feature is a game-changer.", "The software's integration with cvi42 v6.3 enhances workflow efficiency.", "The on-premise deployment ensures data security and compliance.", "The user interface is intuitive and easy to navigate.", "The software's performance is reliable and consistent.", "The support team is responsive and knowledgeable.", "The software's scalability meets our growing needs.", "The training resources provided are comprehensive and helpful.", "The software's regulatory clearances ensure compliance with industry standards.", "The software's compatibility with various imaging modalities is advantageous.", "The software's reporting capabilities are robust and customizable.", "The software's integration with existing systems is seamless.", "The software's performance in high-volume settings is commendable.", "The software's ability to handle complex cases is impressive.", "The software's data visualization tools are effective.", "The software's ability to handle large datasets is efficient.", "The software's support for multiple languages is beneficial.", "The software's regular updates keep it current with industry advancements.", "The software's security features meet our organization's standards.", "The software's user community is active and supportive.", "The software's documentation is thorough and clear.", "The software's customization options are extensive.", "The software's integration with other Circle products is advantageous.", "The software's performance in clinical trials is reliable.", "The software's ability to handle diverse patient populations is commendable.", "The software's support for various imaging protocols is beneficial.", "The software's ability to integrate with hospital information systems is seamless.", "The software's performance in multi-site deployments is consistent.", "The software's ability to handle complex anatomical structures is impressive."


Summary: Visage Breast Density is an AI-powered tool integrated into the Visage 7 Enterprise Imaging Platform, designed to assess mammographic breast density, aiding in breast cancer risk evaluation and detection.

Visage Breast Density utilizes artificial intelligence to analyze mammographic images, providing consistent and objective breast density assessments. Developed in collaboration with Yale New Haven Health, it received FDA clearance in January 2021. The tool operates seamlessly within the Visage 7 platform, offering rapid, server-side processing for efficient clinical workflows. It has been validated in multiple clinical settings, demonstrating high agreement with radiologists and enhancing diagnostic accuracy. The AI inference runs in the background, delivering immediate results upon image acquisition, and integrates smoothly into existing PACS systems without disrupting radiologists' workflows.

enterprise
healthcare institutions
academic medical centers

radiologists
clinicians
medical imaging professionals
healthcare administrators

Radiology
Mammography
Oncology
Breast Imaging

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

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

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

Integration with Visage 7 Enterprise Imaging Platform

Support for digital breast tomosynthesis (DBT)

Rapid display of current and prior DBT images

Auto-Prior Rules for prior image retrieval

Support for multiple monitor resolutions in protocols

Visual display of missing images in protocols

Integration with Nuance PowerScribe 360 | Reporting

Mobile diagnostic image and results access via Visage Ease Pro

Integration with Primordial workflow orchestration

Integration with Visage Ease Pro for mobile access

Visage AI Accelerator
Visage 7 Open Archive
Visage 7 Workflow

Epic EHR
Primordial workflow orchestration
Nuance PowerScribe 360 | Reporting
Visage Ease Pro for mobile access

FDA 510(k)
CE Mark
Health Canada
TGA Australia

BAA available
consent mgmt
anonymization
data minimization


Summary: Hepatica is a non-invasive clinical and surgical decision support tool that utilizes AI-driven MRI technology to assess liver health and volume, aiding in pre-surgical planning for liver cancer patients.

Hepatica leverages artificial intelligence to delineate liver volume and individual Couinaud segments, providing comprehensive, patient-friendly reports that integrate seamlessly into existing PACS workflows. It offers accurate, MRI-based assessments without radiation exposure, enhancing pre-surgical decision-making for liver cancer patients by identifying those at risk of poor postoperative outcomes.

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

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese

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

3D visualization of biliary tree and pancreatic duct

Automated segmentation and labelling of biliary anatomy

Quantitative biliary metrics (duct widths, volumes, regional measures)

Processing of newly acquired or historic non-contrast MRCP DICOM images

Integration/workflow with PACS (import/export DICOM)

EMR/ordering workflow support (orderable test codes/CPT mapping)

Batch processing / external analysis service (portal upload)

Ability to enhance/augment MRCP image data for diagnosis and monitoring

Support for retrospective analysis of archived studies

AI-driven delineation of liver volume and individual Couinaud segments

PACS portals / viewer integrations
Bayer Pharmaceuticals
Nuance
TeraRecon

US and EU hosting options / hybrid (on-premise or Perspectum-hosted portal)


Summary: AI Metrics offers AI-driven software solutions to enhance the efficiency and accuracy of cancer imaging evaluations for radiologists.

AI Metrics provides AI-enabled radiology software designed to streamline cancer imaging assessments, reducing read times and improving accuracy. Their solutions automate tumor identification, measurement, and reporting, aiming to alleviate radiologist burnout and enhance workflow efficiency. The company has been recognized for its innovative approach, with research published in the American Journal of Roentgenology. Founded in 2019, AI Metrics is headquartered in the United States and serves healthcare institutions globally.

radiologists
oncologists
healthcare administrators

Automated tumor identification and measurement

AI-assisted reporting with visualized outputs

Guided workflows to enhance radiologist efficiency

Reduction of radiologist burnout through streamlined processes

Integration with existing PACS, RIS, and EMR systems

Automated tracking of incidental findings

Single-click tumor measurement and labeling

Enhanced inter-observer agreement in reporting

Reduction of major errors in cancer reads

Liver Surface Nodularity (LSN) analysis module

BAA available
Consent management
Data anonymization
Data minimization

This will revolutionize our efficiency and accuracy.


Summary: EchoGo Pro is an AI-powered decision support tool that assists clinicians in diagnosing coronary artery disease (CAD) by analyzing stress echocardiography images, enhancing diagnostic accuracy and patient outcomes.

EchoGo Pro utilizes artificial intelligence to automate the analysis of stress echocardiography images, providing clinicians with a categorical assessment of the likelihood of significant CAD. This tool aims to reduce misdiagnoses and support early intervention, thereby improving patient care. It has been validated in the UK and US, demonstrating over 90% diagnostic performance (AUROC) and halving misdiagnoses compared to routine clinical practice. The FDA cleared EchoGo Pro in December 2020, marking it as the first AI-powered solution in echocardiography for CAD diagnosis.

Clinicians
Cardiologists
Radiologists
Healthcare Providers

United States
United Kingdom
European Union

Automated echocardiography quantification (LV volumes, LVEF)

Automated global longitudinal strain measurement

AI-driven diagnostic decision support and risk scores

Vendor-neutral DICOM ingest and PACS connectivity

Automated report generation (cloud-based)

Batch processing / high-throughput analysis

Clinical analytics and outcomes reporting

Quality control and image triage assistance

Clinician user interface with visual overlays and measurements

EchoGo Core (automated quantification)
EchoGo Amyloidosis
EchoGo Heart Failure (HFpEF detection)

Hospital EHR / EMR systems (via integration)

Clinical workflow systems / reporting viewers

Modern web browser; cloud-hosted service (no on-prem server required for SaaS use)

HIPAA
GDPR
UK Data Protection regulations

FDA 510(k) clearance
CE mark
ISO 27001
ISO 13485

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

Patient data minimization and de-identification support for research

Cloud regions available (UK/EU and US cloud hosting options)


Summary: HealthJOINT is an AI-powered imaging analytics platform developed by Zebra Medical Vision, designed to assist healthcare providers in identifying patients at risk of diseases through advanced image processing and analysis.

HealthJOINT leverages artificial intelligence to analyze medical imaging data, enabling healthcare institutions to detect early signs of various diseases and initiate preventive care pathways. The platform integrates seamlessly into existing radiology workflows, enhancing diagnostic accuracy and patient outcomes.

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

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

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

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

3D reconstruction of knee bones from 2D X-ray images

Preoperative planning assistance for knee orthopedic surgeries

Integration with third-party software via API

Data encryption
Access controls
Audit logs

Zebra Medical Vision's AI1 solution users

The people are great and fun to work with.

Great people, great mission, great technology.

Great image tagging assignments for radiologists.

2.9 out of 5 stars for Diversity & Inclusion on Glassdoor

73% would recommend to a friend on Glassdoor

DePuy Synthes
Nuance Communications
Emergent Connect


Summary: CorInsights MRI is an FDA-cleared software that analyzes standard MRI scans to provide quantitative brain tissue volume measurements, aiding in the assessment of neurodegenerative conditions like Alzheimer's disease.

CorInsights MRI utilizes standard MRI scans to measure brain tissue volumes, comparing them to a proprietary normative database. It generates detailed reports with images, graphs, and summaries to assist radiologists, neurologists, and researchers in diagnosing and monitoring neurodegenerative diseases. The software requires only a T1-weighted MRI scan and offers same-day turnaround for results. It has been validated against a curated database of over 30,000 brain images, demonstrating its effectiveness in detecting patterns associated with conditions such as Alzheimer's disease and other dementias.

radiologists
neurologists
clinical researchers

Comparison to age- and sex-matched normative data

Generation of annotated images and volumetric reports

Encryption at rest
Encryption in transit
Access control
Audit logging

Cleveland Clinic
Rockefeller University
Mt. Sinai Icahn School of Medicine
Weill Cornell College of Medicine
The University of Arizona

This will definitely help with earlier and more accurate diagnosis...

This is amazing! I'm going to show my colleagues!

For me the first step in my clinic has always been to look for clear evidence of neurodegeneration. Once we rule that out, we can focus on a whole bunch of different approaches. That's why the CorInsights® is so important for me.

3.0 out of 5 stars for Work-life balance

2.6 out of 5 stars for Job security and advancement


Summary: PROView is a prostate MRI solution by GE HealthCare that offers automated segmentation and comprehensive reporting for efficient prostate imaging.

PROView is a prostate MRI solution developed by GE HealthCare, designed to streamline prostate imaging through automated segmentation and comprehensive reporting. It integrates deep learning-based auto prostate segmentation for volume measurement, aligns with PI-RADS® v2.1 reporting standards, and provides integrated reporting compatible with standard dictation systems. The solution offers a guided workflow for standardized assessment, intelligent display of multi-parametric prostate MR series, and automatic calculation of PSA Density (PSAD). Additionally, it includes dedicated tools for lesion localization, mapping, and scoring of various imaging sequences, and generates consistent reports with all measurements and key images, exportable in HTML, PDF, or DICOM formats.

United States
Canada
Europe
Asia
Australia
Middle East
Africa
Latin America

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

Comprehensive image management
Exam documentation
HL7 interface for HIS integration
DICOM interface for PACS integration
CTG findings integration
Blood analysis results integration

CTG integration
Blood analysis integration

Picture Archiving and Communication Systems (PACS)

Windows Server, SQL Server, network connectivity

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: Kardia 12L ECG System is a portable, AI-powered device that enables rapid acquisition of 12-lead ECGs, facilitating quick detection of critical cardiac conditions.

The Kardia 12L ECG System is a handheld, FDA-cleared device designed for healthcare professionals to efficiently capture 12-lead ECGs using a simplified leadset. Powered by KAI 12L AI technology, it detects 35 cardiac determinations, including heart attacks, and is suitable for various healthcare settings, including primary care and urgent care clinics. The device is battery-operated, lightweight, and user-friendly, making it accessible for healthcare providers in diverse environments.

Contact AliveCor for pricing information.

Detects 35 cardiac determinations, including 14 arrhythmias and 21 morphologies

Compatible with KardiaStation app for data management

Supports integration with EHR systems via KardiaPro API

Battery-operated with extended operational time

KardiaCare service features
KardiaPro web-based portal

EHR systems
KardiaPro API
KardiaCare service features
KardiaStation app

Compatible with iOS and Android devices running the Kardia app

HIPAA
ISO 27001
SOC 2 Type 2
HITRUST e1 Certification

FDA 510(k) clearance
CMS reimbursement approval
Category III CPT codes


Summary: FastStroke is an automated CT imaging solution by GE HealthCare that streamlines ischemic stroke workflows and enhances communication among stroke care teams.

FastStroke automates the processing of CT ischemic stroke studies, including non-contrast CT, CT Angiography (CTA), multiphase CTA (mCTA), and perfusion series. It integrates with Circle Neurovascular's StrokeSENS AI-based tools for Large Vessel Occlusion (LVO) detection and ASPECTS scoring, facilitating rapid identification and notification of stroke cases. The system automatically sends preprocessed images and functional maps to the stroke team via email, supporting timely clinical decisions. Additionally, it offers intelligent layouts for mCTA phases, ColorViz for vascular enhancement timing, and deep learning-based brain ventricle segmentation for improved tissue classification.

clinicians
radiologists
neurologists
stroke care teams

United States
Italy
Spain
Turkey
Australia
New Zealand
United Kingdom
India

English
Italian
Spanish
Turkish
Australian English
New Zealand English
UK English
Hindi

Automated ischemic stroke workflow processing

Background processing of CT ischemic stroke workup

Automated email notifications to stroke team

AI-based Large Vessel Occlusion (LVO) detection

Integration with Circle Neurovascular's StrokeSENS AI tools

Automated generation of mCTA and Perfusion maps

Preprocessing of images and functional maps

Seamless integration with existing CT imaging systems

Enhanced communication between care team members

Integration with hospital information systems

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

Compatible CT imaging systems, network infrastructure, server hardware, storage solutions, internet connectivity, compatible operating systems, database management systems, security protocols, backup solutions, user devices

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

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Patient data access controls
Data retention policies
Data sharing policies
Patient data rights management
Data breach notification procedures
Privacy impact assessments

4.0 out of 5 stars on G2
4.2 out of 5 stars on Epic
3.7 out of 5 stars on eClinicalWorks
4.1 out of 5 stars on Tebra
4.5 out of 5 stars on ModMed
4.5 out of 5 stars on Carepatron
4.7 out of 5 stars on EHR Your Way
4.7 out of 5 stars on CrelioHealth LIMS
4.9 out of 5 stars on Oliva Health
4.6 out of 5 stars on Therap Services


Summary: Neuro.Al Algorithm is an AI-powered medical imaging software by TeraRecon that analyzes brain perfusion data from CT or MRI scans to assist healthcare professionals in assessing brain function and vascular health.

Neuro.Al Algorithm processes dynamic imaging data to generate detailed maps of brain tissue blood flow and vascular structures, aiding clinicians in evaluating brain perfusion and vascular health efficiently. It outputs parametric maps and visualization aids to support clinical diagnosis without replacing physician judgment.

Clinicians Radiologists Neurologists Neurosurgeons

United States
Europe
Asia
Australia
Canada
South America
Africa

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

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

Advanced image processing for CT and MRI datasets

Analysis of dynamic brain perfusion image data

Calculation of brain tissue perfusion parameters

Creation of parametric maps with or without ventricles

DICOM-compliant imaging devices
PACS systems
EMR systems

Windows or Linux servers, Docker container support, Cloud infrastructure

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

Data anonymization
Data minimization
Consent management
Data residency compliance


Summary: WRDensity is an AI-driven software developed by Whiterabbit.ai to assist radiologists in consistently assessing breast density, thereby enhancing breast cancer risk evaluation and patient management.

WRDensity utilizes deep learning algorithms trained on over 600,000 mammography images from the Mallinckrodt Institute of Radiology to provide accurate breast density classifications. It integrates seamlessly into existing radiology workstations, offering up to a 20% increase in productivity. The software is FDA-cleared and compatible with RIS/PACS systems, ensuring efficient workflow integration. Additionally, WRDensity is available on the ACR's AI-LAB platform, facilitating broader access and adoption among radiologists.

radiologists
clinicians
healthcare providers

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

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

Trained on over 600,000 images from Mallinckrodt Institute of Radiology

Consistent assessment across multiple years


Summary: AVIEW LCS Plus is an AI-driven medical imaging solution by Coreline Soft that simultaneously detects and quantifies lung cancer, COPD, and coronary artery calcification from low-dose chest CT scans.

AVIEW LCS Plus is an AI-powered medical imaging software developed by Coreline Soft, designed to enhance the detection and analysis of thoracic diseases. It simultaneously identifies and quantifies pulmonary nodules, emphysema, and coronary artery calcification from low-dose, non-enhanced chest CT scans. The solution provides structured outputs, including Lung-RADS, nodule volumetry, volume doubling time (VDT), emphysema (LAA) analysis, and per-branch coronary artery calcium scoring, facilitating integration with PACS/RIS or cloud-based workflows. AVIEW LCS Plus has received CE and FDA 510(k) clearances, ensuring compliance with international medical device standards. It has been deployed in various international markets, including Europe and the United States, and is utilized in national lung cancer screening programs in countries such as Germany and Italy. The software is available in multiple languages, including English, German, and Italian, and is marketed in regions including Europe, the United States, and Australia. Coreline Soft offers AVIEW LCS Plus through a subscription-based pricing model, with tiered pricing options available upon request. The company holds a commercial license for the software. Coreline Soft's headquarters are located in Seoul, South Korea, with additional offices in Utrecht, Netherlands, and Geneva, Switzerland. The company was founded in 2012 and has since established a global presence in the medical AI industry.

Radiologists
Pulmonologists
Cardiologists
Healthcare Administrators
Medical Imaging Technologists
Clinical Informaticians
Screening Program Administrators

Radiology
Pulmonology
Cardiology
Thoracic Oncology
Preventive Screening
Medical Imaging
Ai In Healthcare
Medical Software Development
Healthcare It Solutions
Clinical Informatics

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

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

Tiered subscription pricing; contact vendor for detailed pricing information.

South Korea
Netherlands
Switzerland
United States
Germany
Italy
France
United Kingdom
Spain
Australia

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

Low-dose CT (LDCT) lung cancer screening workflow

Automated coronary artery calcium (CAC) scoring

Automated structured reporting and report templates

Longitudinal comparison / follow-up tracking

Triage/prioritization of positive findings

Quality management for screening programs

DICOM image import/export and viewer integration

Measurement export for research and registries

Integration with cloud-based screening projects

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

PACS (vendor-neutral DICOM integration)
RIS
HIS
Sectra
Bayer/Calantic
Epic
Cerner
Agfa
Philips IntelliSpace
GE Healthcare
Siemens Healthineers

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

PMDA (Japan) clearance/approval listings

FDA 510(k) clearance K201710 (AVIEW LCS) - 2020

User authentication / 2FA support (where deployed)

BAA / data processing agreements available (for US customers)

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


Summary: CellaVision DC-1 is a compact analyzer designed to automate and digitize blood cell differential analysis in low-volume hematology laboratories, enhancing efficiency and accuracy.

CellaVision DC-1 is a single-slide analyzer that automates the process of analyzing peripheral blood smears. It utilizes an automated microscope, high-quality digital camera, and advanced computer system with artificial intelligence to locate, capture, and pre-classify cells from stained blood smears. The pre-classified cells are then presented on a computer screen for review and verification by laboratory personnel. This system is suitable for standalone use in small independent labs or as part of a distributed laboratory network. It was launched in 2019 and received FDA clearance in October 2020. ([cellavision.com](https://www.cellavision.com/products/hardware/cellavisionr-dc-1?utm_source=openai))

Laboratory Technicians
Hematologists
Clinical Pathologists

United States
Canada
Europe
Asia
Australia

English Spanish French German Italian Japanese Chinese Portuguese Arabic Russian

Sweden
United States
Canada
Brazil
Mexico
China
Japan
South Korea
Australia
United Kingdom

Artificial intelligence for cell location and pre-classification

Cell review and verification on computer screen

Designed for low-volume hematology laboratories

Standalone operation or integration in Distributed Laboratory Networks

Throughput: Approximately 10 slides per hour

RAL® May-Grünwald Giemsa staining reagents

RAL® Giemsa staining reagents for parasitology and mycology

RAL® Trichromic staining reagents with saffron


Summary: THINQ is an AI-driven software by CorticoMetrics that automates brain MRI analysis, providing volumetric measurements and visualizations of 30 critical brain structures to assist in diagnosing neurological conditions.

THINQ is an FDA-cleared software designed to automatically segment T1-weighted MRI brain images, delivering volumetric measurements and visualizations of 30 key brain structures. It compares these measurements to age and gender-matched reference data, aiding radiologists and neurologists in assessing neurological disorders such as dementia, epilepsy, multiple sclerosis, traumatic brain injury, and hydrocephalus. The software outputs color-coded segmented brain images and plots illustrating measurement comparisons, enhancing diagnostic accuracy and workflow efficiency. THINQ also supports integration with electronic health records (EHR) using the FHIR standard, facilitating seamless data sharing across healthcare systems. ([fdanews.com](https://www.fdanews.com/articles/200203-fda-clears-corticometrics-quantitative-ai-solution-for-brain-mris?utm_source=openai))

radiologists
neurologists
clinicians
healthcare providers

Neurology Radiology Neuroimaging Neurodiagnostics

Integration with major CRMs (Salesforce, HubSpot, Pipedrive)

Enterprise-grade database with GDPR compliance

Chrome Extension for LinkedIn and Salesforce integration

Integration with ZoomInfo, Apollo.io, LinkedIn Sales Navigator, Cognism, 6sense

WebSocket connections for live data updates

Manifest V3 structure for Chrome Extension

Salesforce
HubSpot
Pipedrive
ZoomInfo
Apollo.io
LinkedIn Sales Navigator
Cognism
6sense


Summary: Caption Guidance is an AI-powered software that enables healthcare providers, even without prior ultrasound experience, to perform diagnostic-quality cardiac ultrasound exams by providing real-time guidance and automated interpretation.

Caption Guidance, developed by Caption Health, is the first FDA-authorized AI-guided image acquisition system for cardiac ultrasound. It assists healthcare professionals in capturing high-quality ultrasound images by offering real-time guidance and automated quality assessments, making ultrasound accessible to a broader range of clinicians and improving patient care.

Clinicians
Nurses
Physicians
Healthcare Providers

Cardiology
Emergency Medicine
Anesthesiology
Critical Care

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

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

Diagnostic-quality cardiac ultrasound imaging

Breakthrough Device designation from FDA

NTAP authorization from CMS for Medicare patients

Integration with GE Healthcare Venue Family ultrasound devices

Integration with Butterfly iQ+ ultrasound devices

Integration with Terason uSmart 3200T ultrasound devices

Real-time image guidance for healthcare providers

Improves access to ultrasound diagnostics

Facilitates point-of-care ultrasound imaging

Supports left ventricular size assessment

Supports left ventricular function assessment

Supports right ventricular size assessment

Supports pericardial effusion assessment

Advanced image analysis tools
Cloud-based data storage
Remote image review capabilities
Patient data management features
Clinical workflow integration tools
Telemedicine support
Automated reporting features
Training and education resources
Clinical decision support tools
Patient monitoring integration

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

Data encryption
Access control
Audit trails
User authentication
Data integrity checks
Secure data transmission
Regular security assessments
Compliance with security standards
Incident response plan
Data backup and recovery

Data anonymization
Data minimization
User consent management
Data access controls
Data retention policies
Compliance with privacy regulations
Patient data confidentiality
Data sharing agreements
Data breach notification procedures
Third-party risk assessments


Summary: AVA is an AI-powered software developed by See-Mode Technologies that automates the analysis and reporting of vascular ultrasound scans, enhancing diagnostic efficiency and accuracy for clinicians.

AVA utilizes deep learning, text recognition, and signal processing technologies to assist clinicians in interpreting and reporting vascular ultrasound studies. With a single click, AVA can analyze a full vascular ultrasound scan in less than a minute, significantly reducing the time taken to generate reports and minimizing manual errors. This automation augments the clinical workflow, leading to improved productivity, accuracy, and patient outcomes. AVA has received regulatory approvals, including FDA 510(k) clearance, CE Mark, and Australian TGA approval, and is commercially available in Singapore, with ongoing pilots in leading hospitals in Singapore and Australia. The product is also pending CE approval in Europe and has been approved by Singapore's Health Sciences Authority as a Class B medical device. See-Mode Technologies is continuously expanding AVA's capabilities to new clinical use cases and is conducting clinical studies with major stroke centers and research institutes worldwide.

Singapore
Australia
United States
Europe
New Zealand

Automated analysis and reporting of vascular ultrasound scans

Deep learning and signal processing technologies

Single-click full scan analysis in under a minute

Minimization of manual drawing requirements

Picture archiving and communication systems (PACS)

Clinical decision support systems (CDSS)

Laboratory information management systems (LIMS)

Clinical trial management systems (CTMS)

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
macOS Mojave or later
2 GB RAM
500 MB free disk space
1 GHz processor
Internet connection for cloud features

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Data anonymization
Access controls
Regular security audits
Penetration testing

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data access controls
Data retention policies
Data sharing policies
Data breach notification procedures
Data subject rights management


Summary: The Accelerate Pheno System is an in vitro diagnostic platform that rapidly identifies infectious pathogens and determines their antibiotic susceptibility directly from positive blood cultures, enabling clinicians to make timely, informed treatment decisions.

The Accelerate Pheno System automates sample preparation, pathogen identification, and antibiotic susceptibility testing, delivering results in approximately seven hours. This rapid turnaround allows clinicians to optimize antibiotic therapy for patients with serious infections, such as sepsis, more quickly than traditional methods, which can take 1–2 days longer. The system comprises a fixed instrument and single-use test kits, streamlining laboratory workflows and improving patient outcomes by facilitating prompt, targeted treatment decisions.

clinicians
laboratory technicians
infectious disease specialists
hospital microbiology laboratories

Infectious Diseases
Sepsis
Antimicrobial Stewardship

Rapid antimicrobial susceptibility testing

Integration with electronic health records (EHR)

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

Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), 16 GB RAM, 500 GB SSD storage, 1 Gbps Ethernet connection

HIPAA
FDA 510(k)
CLIA
ISO 13485
CE Mark
ISO 14971
ISO 9001
ISO 27001
SOC 2
GDPR
HITECH
FDA 21 CFR Part 11
ISO 15189
ISO 15190
ISO 22870
ISO 15197
ISO 15193
ISO 15194
ISO 15195
ISO 15196

Data encryption at rest and in transit
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Network segmentation
Regular security updates
Intrusion detection systems (IDS)
Firewall protection

Business Associate Agreement (BAA) available


Summary: EyeBOX is a non-invasive, FDA-cleared device that objectively diagnoses concussions by analyzing eye movements, providing results in under four minutes without requiring a baseline test.

EyeBOX is a lightweight, battery-operated device designed to aid in the diagnosis of concussions by measuring abnormalities in eye movements. It is FDA-cleared for use in both pediatric and adult patients, offering a non-invasive, baseline-free test that delivers results in less than four minutes. The device is suitable for various settings, including clinical environments and sports facilities, and has been validated through multiple peer-reviewed studies.

clinicians nurses patients admins payers

Neurology
Sports Medicine
Pediatrics
Emergency Medicine

FDA-cleared concussion diagnostic device

Objective assessment using eye-tracking technology

Clinically validated with multiple peer-reviewed studies

No literacy or language requirements for patients

Electronic Health Records (EHR) systems
Patient Management Systems
Clinical Decision Support Systems

Windows 10 or later, Linux kernel 4.0 or later

Encryption
Role-Based Access Control (RBAC)
Audit Logs
Secure Data Transmission
Data Anonymization
User Authentication
Data Integrity Checks
Access Control Lists (ACLs)
Session Management
Data Masking

Business Associate Agreement (BAA)
Data Minimization
Patient Consent Management
Data Anonymization
Data Encryption
Access Control
Audit Trails
Data Retention Policies
Data Deletion Procedures
Data Masking


Summary: VIDAvision is an FDA-cleared imaging software developed by VIDA Diagnostics to assist clinicians in analyzing chest CT scans for diagnosing and monitoring lung diseases.

VIDAvision utilizes deep learning algorithms to automatically segment lung regions in CT images, providing detailed quantitative analyses to aid in diagnosing and monitoring lung diseases such as lung cancer, COPD, and asthma. It reconstructs 2D CT images into 3D views and generates detailed reports, streamlining the workflow and reducing manual effort for clinicians.

United States
European Union
Canada
Australia

Clinical trial imaging
Clinical development planning
Therapeutic research
AI-powered digital biomarkers
Site management
Sponsor trial orchestration

Advisory/optimization services
EHR embedding integration

Epic
Cerner/Oracle Health
Allscripts
AthenaHealth
NextGen Healthcare
eClinicalWorks
LabCorp
Quest Diagnostics
Cerner Lab
Meditech LIS
Sunquest
Abbott Informatics
GE Healthcare PACS
Philips IntelliSpace
Agfa HealthCare
McKesson PACS
Carestream Health
DICOM Web Services
Epic Revenue Cycle
Cerner RevElate
Optum360
Availity
Change Healthcare
RelayHealth
AWS HealthLake
Google Cloud Healthcare API
Azure API for FHIR
Microsoft Cloud for Healthcare
Salesforce Health Cloud
Oracle Cloud Infrastructure
Tableau Healthcare
Microsoft Power BI
Qlik Sense
IBM Watson Health
SAS Healthcare
Snowflake Health Data Cloud

HIPAA
SOC 2
HITRUST R2
ISO 13485:2016
FDA Part 11

FDA 510(k)
CE/MDR
ONC
ISO 13485:2016
SOC 2 Type 2
HITRUST R2

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP


Summary: Accipio Ix is an AI-powered software developed by MaxQ AI for the rapid detection and triage of intracranial hemorrhages in non-contrast head CT scans, aiming to assist clinicians in acute care settings.

Accipio Ix utilizes deep learning algorithms to automatically analyze non-contrast head CT images, identifying and prioritizing cases indicative of intracranial hemorrhage (ICH). It integrates seamlessly into existing CT and PACS systems, providing rapid escalation and prioritization capabilities to support clinicians in acute care environments. The software has received FDA 510(k) clearance and CE Mark certification, indicating its regulatory approval for use in the United States and European Union. However, as of January 2022, MaxQ AI has discontinued the Accipio product line and shifted its focus to non-image-based AI algorithms for broader healthcare applications.

clinicians
radiologists
emergency room physicians
neuroimaging specialists

Neurology
Radiology
Emergency Medicine
Neurosurgery

Intracranial Hemorrhage (ICH) triage and notification

Seamless integration with CT and PACS systems

ISO 27001 and ISO 27799 cybersecurity standards compliance

CT systems
PACS systems
Radiology reporting systems
AI partner solutions
GE Healthcare
Philips Healthcare
Nuance Communications
IBM Watson Health
TeraRecon
EnvoyAI
Fujifilm Medical Systems USA

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27799

BAA available
Consent management
Anonymization
Data minimization


Summary: uAI HYPER DLR is an AI-driven image processing software by United Imaging that enhances PET image quality by reducing noise, leading to clearer diagnostics and shorter scan times.

uAI HYPER DLR is a deep learning-based image processing function developed by United Imaging to improve the quality of fluorodeoxyglucose (FDG) PET images. By utilizing a pre-trained neural network, it effectively reduces image noise, enhancing the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) while preserving image consistency. This advancement allows for shorter scan durations and lower radiation doses without compromising diagnostic clarity. The technology is part of United Imaging's Software Upgrades for Life program, ensuring that existing U.S. molecular imaging systems receive this enhancement at no additional cost. uAI HYPER DLR is compatible with various PET/CT systems, including the uMI 550 and uMI 780 models. The software has received FDA clearance, demonstrating its safety and efficacy for clinical use. Additionally, United Imaging has introduced HYPER FOCUS, which further reduces respiratory motion artifacts and increases SNR by using respiratory signals to generate a single PET image registered to the CT, all without requiring additional scan time. Both uAI HYPER DLR and HYPER FOCUS are available on uMI 550 and uMI 780 PET/CT systems in the U.S. as part of United Imaging's All-In Configurations model, which includes all available functionality in new systems. To accelerate the adoption of these AI technologies, United Imaging provides them to the installed base at no charge as part of their Software Upgrades for Life program. This approach ensures that healthcare providers can enhance their existing systems with the latest advancements without incurring additional costs. The deployment of these artificial intelligence solutions aligns with United Imaging's mission to provide equal access to healthcare for all, making advanced imaging technologies available across various product tiers. The company continues to innovate in the field of medical imaging, offering solutions that improve diagnostic capabilities and patient care.

radiologists
nuclear medicine physicians
medical imaging technologists

Radiology
Nuclear Medicine
Medical Imaging

Provided at no additional cost to existing U.S. molecular imaging systems under the Software Upgrades for Life program.

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

Deep learning-based image reconstruction

Reduced image noise in high BMI patients

Integration with uAI Vision Camera for 3D patient modeling

Automatic adjustment of X-ray parameters

Intelligent collimation and parameter setting

High-quality imaging at low radiation doses

Seamless integration with existing imaging systems

User-friendly interface for technologists

Software Upgrades for Life program for continuous updates

uVERA IQ intelligent imaging technology
uAI Vision Camera integration

uAI Vision Camera
uVERA IQ
PACS
RIS
EHR systems


Summary: FractureDetect is an AI-powered software developed by Imagen Technologies to assist clinicians in detecting fractures during the review of musculoskeletal radiographs in adults.

FractureDetect (FX) is a computer-assisted detection and diagnosis (CAD) software device designed to aid clinicians in identifying fractures in adult patients by analyzing radiographs of the musculoskeletal system. Utilizing supervised deep learning, it processes DICOM images from standard imaging devices or DICOM nodes, providing a toggleable annotation overlay on the original image within a PACS system to highlight fractures. The device operates securely with HIPAA compliance and is intended as an adjunct tool, not a replacement for a clinician’s review of the radiograph or clinical judgment. It was granted FDA 510(k) clearance on July 30, 2020, demonstrating high sensitivity (95.1%) and specificity (89.3%) in detecting fractures across various anatomical regions. ([fda.report](https://fda.report/PMN/K193417?utm_source=openai))

Clinicians
Radiologists
Orthopedic Surgeons
Emergency Medicine Physicians
Primary Care Physicians

Orthopedics
Emergency Medicine
Radiology

AI-powered fracture detection
Real-time imaging analysis
Automated reporting
Integration with existing PACS systems
User-friendly interface
Scalable architecture
Cloud-based storage
HIPAA-compliant data handling
Multi-language support
Customizable alert thresholds

Advanced analytics dashboard
Mobile application
Third-party EHR integration
Patient portal
Telemedicine integration

Windows Server 2016+, 8 GB RAM, 100 GB storage


Summary: HealthMammo is an AI-driven tool that assists radiologists in prioritizing and identifying suspicious findings in 2D mammograms, enhancing early breast cancer detection.

HealthMammo is an AI-based software developed by Zebra Medical Vision to analyze 2D full-field digital mammograms, flagging suspicious findings to aid radiologists in prioritizing cases. It integrates with existing radiology workflows, providing passive notifications within the PACS/worklist to improve efficiency without replacing diagnostic evaluation. The tool has received FDA 510(k) clearance and a CE mark, demonstrating its regulatory compliance and readiness for clinical use.

Prioritization and detection of suspicious mammograms

Support for breast radiologists in reading and reporting workflows

FDA 510(k) clearance for mammography solution

Part of Zebra Medical's AI1 (All-In-One) bundle

Processing and analysis of suspected breast lesions

Signal notifications within worklist or dedicated application

Improved patient care through comprehensive reporting

Enhanced diagnostic accuracy for breast cancer detection

Real-time analysis of mammography images

Seamless integration with existing radiology workflows

Scalable deployment across multiple healthcare facilities

Continuous updates and improvements to AI algorithms

User-friendly interface for radiologists

Compliance with healthcare data security standards

Support for various mammography equipment vendors

Ability to handle large volumes of mammography data

Integration with other imaging modalities

PACS systems
Electronic health records (EHR)
Mammography equipment vendors
Telemedicine platforms
Cloud-based storage solutions
Other imaging modalities
Patient management systems
Clinical decision support systems
Mobile applications for radiologists
Third-party analytics platforms

HIPAA
GDPR
FDA 510(k)
CE mark
ISO 13485
ISO 14971
ISO 27001
SOC 2 Type 2
HITECH
FDA 21 CFR Part 820

FDA 510(k)
CE mark
ISO 13485
ISO 14971
ISO 27001
SOC 2 Type 2
FDA 21 CFR Part 820
ISO 9001
ISO 14001
ISO 45001

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

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data access controls
Data retention policies
User data rights management
Compliance with data protection laws
Regular privacy audits


Summary: Ezra Plexo Software is an AI-driven platform designed to enhance healthcare operations by integrating data, orchestrating processes, and improving decision-making.

Ezra Plexo Software leverages artificial intelligence to streamline healthcare workflows, offering solutions that integrate data, automate processes, and support informed decision-making across various healthcare settings.

clinicians
nurses
patients
admins
payers
healthcare providers
IT professionals
hospital administrators
medical staff
care coordinators

Radiology
Cardiology
Orthopedics
Neurology
Oncology
Pediatrics
Geriatrics
Emergency Medicine
Internal Medicine
Surgery
Obstetrics
Gynecology
Dermatology
Psychiatry
Pulmonology
Gastroenterology
Endocrinology
Urology
Rheumatology
Infectious Diseases

United States
Canada
United Kingdom
Germany
France
Australia
India
China
Japan
South Korea
Brazil
Mexico
South Africa
Nigeria
Egypt
Saudi Arabia
United Arab Emirates
Argentina
Chile
Colombia

Compliance with HIPAA, GDPR, SOC 2, ISO 27001

Scalable architecture supporting unlimited users and devices

Secure network with firewall-separated security zones

Distributed Denial of Service (DDoS) protection

Regular security audits and vulnerability assessments

Secure software development lifecycle (SDLC)

Data residency options in multiple regions

Compliance with industry standards and regulations

Advanced threat detection and monitoring

Data masking and anonymization capabilities

Security incident and event management (SIEM) integration

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewalls
IDS/IPS
DDoS protection
Secure SDLC

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data masking
Data archiving
Incident response planning
Compliance reporting
Data governance


DeepRecon is a deep learning-based image reconstruction technology developed by United Imaging, designed to enhance MRI image quality by improving signal-to-noise ratio and image sharpness, leading to more accurate diagnostics and better patient care. It is integrated into United Imaging's MRI systems, such as the uMR 680, uMR 780, and uMR Omega, to provide high-resolution imaging with reduced noise and improved clarity. DeepRecon utilizes convolutional neural networks trained on extensive datasets to intelligently denoise images while maintaining high fidelity, resulting in clearer and more detailed MRI scans. This technology is part of United Imaging's uAIFI platform, which also includes other AI-driven features like EasySense for contactless respiratory motion sensing and EasyScan for streamlined workflow management. DeepRecon's implementation in MRI systems contributes to faster scan times, enhanced image quality, and improved patient comfort, making it a valuable tool in modern medical imaging.

clinicians radiologists technologists patients

Neurology
Orthopedics
Cardiology
Body Imaging
Angiography

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

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

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

Deep learning-based image reconstruction

Intelligent denoising for improved signal-to-noise ratio

Fast scanning to optimize workflow and throughput

High-density RF channels for reduced scan time and enhanced image resolution

Advanced gradient performance for higher signal-to-noise ratio

Excellent uniform magnet for skin-to-skin fat saturation

Spacious field-of-view for easy patient positioning

Touchless respiratory gating with EasySense

Quiet scan technique with QScan for reduced acoustic noise

Starlight experience with customizable lighting to reduce claustrophobia

High-performance system for non-contrast fat-suppressed imaging

0.5 mm isotropic vessel wall scanning with intelligent post-processing analysis

uAI DeepRecon
EasySense
uAI EasyScan
QScan
SuperFlex coils

1.5 Tesla MRI system, 70 cm bore diameter, up to 96 RF independent receive channels, 45 mT/m gradient amplitude, 200 T/m/s slew rate

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