Summary: ARIA is an AI-powered ultrasound imaging software developed by Medo.ai to assist clinicians in diagnosing hip dysplasia in infants by automating image analysis and measurement processes.

ARIA (Automated Real-time Intelligent Assistant) is a cloud-based medical imaging software that utilizes machine learning to analyze ultrasound images of infant hips. It automatically reviews images, selects optimal ones, calculates standard measurements, and aids clinicians in classifying hips as normal or dysplastic. This technology aims to enhance diagnostic accuracy and efficiency, particularly in detecting developmental hip dysplasia in newborns and infants up to 12 months old. ARIA received FDA 510(k) clearance in June 2020, marking it as the first AI-based tool for this purpose. The software is designed to be user-friendly, enabling clinicians with minimal training to perform complex diagnostic scans at the point of care, including in remote and rural areas. Medo.ai's goal is to make this technology accessible universally, facilitating early detection and treatment of hip dysplasia to prevent long-term complications. The company also integrates ARIA with other healthcare technologies, such as Kailo Medical's SonoReview, to standardize and streamline ultrasound practices. Additionally, Medo.ai has developed other AI-driven ultrasound applications, including MEDO-Thyroid, which received FDA clearance in May 2021 for thyroid ultrasound analysis. The company was founded in 2018 and has offices in Canada and Singapore. In July 2022, Medo.ai was acquired by Exo, a health information and medical devices company, to integrate its AI capabilities into Exo's broader point-of-care ultrasound platform.

clinicians
radiologists
pediatricians
healthcare providers
medical technologists
healthcare administrators

Pediatrics
Orthopedics
Radiology
Musculoskeletal Imaging
Ultrasound Diagnostics
Pediatric Orthopedics
Neonatology
Family Medicine
Emergency Medicine
Rural Healthcare
Remote Healthcare
Healthcare Technology Integration
Medical Imaging Software
Ai In Healthcare
Healthcare Innovation
Healthcare Startups
Medical Device Software
Healthcare Ai Applications
Healthcare Diagnostics
Healthcare Automation

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

English Mandarin Cantonese Malay Tamil Hindi Punjabi Bengali Telugu Marathi Gujarati Urdu Arabic French Spanish Portuguese German Italian Dutch Japanese

Configurable workflows
Flexible forms
Document repository
Message templates
AI-driven redaction
e-Signature capture
Open architecture
Charts & dashboards

Identity management
Open architecture
Charts & dashboards

Epic
Cerner
PACS
billing
Salesforce
Mulesoft
Data warehouses
Data lakes
Shipping systems
Safety reporting systems
Identity providers (SSO)
Electronic signature systems

HIPAA
GDPR
SOC 2 Type II
ISO 27001
PCI DSS
FERPA
COPPA

FDA 510(k)
CE/MDR
ONC
ISO 27001
SOC 2 Type II
PCI DSS
HIPAA
FERPA
COPPA


Summary: Butterfly Network's iQ+ Bladder is a portable ultrasound system designed for rapid, automated bladder volume measurements with 3D visualizations, enhancing urological diagnostics.

The iQ+ Bladder system offers a comprehensive solution for bladder scanning, featuring an ultrasound probe, streamlined software, and a compact rolling cart with a tablet. It enables healthcare professionals to perform quick, accurate bladder volume assessments using advanced 3D rendering technology, facilitating efficient patient care.

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

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

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

User-friendly interface with no login required

Real-time guidance for proper probe placement

No scheduled maintenance or calibration required

Water and dust-resistant probe (IP67 standard)

Low-Level Disinfection via approved sanitizing wipes

iOS 17.0 or newer, compatible USB-C iPads

FDA 510(k) clearance
CE Mark
ONC Health IT Certification

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

Business Associate Agreement (BAA) available


Summary: QLAB General Imaging Analysis is a software suite by Philips Healthcare that enhances ultrasound imaging through advanced quantification and analysis tools, improving diagnostic confidence and workflow efficiency.

QLAB General Imaging Analysis offers a range of advanced tools for ultrasound data visualization and quantification, including 3D imaging, elastography analysis, and vascular plaque quantification, designed to support clinical decision-making and streamline departmental workflows.

Clinicians
Radiologists
Sonographers
Medical Technologists

Cardiology
Obstetrics And Gynecology
Vascular Medicine
General Imaging

English Spanish Portuguese French German Italian Dutch Hebrew Norwegian Danish

Netherlands
United States
United Kingdom
Germany
France
Italy
Spain
Brazil
Israel
Norway
Denmark

Elastography Analysis (EA)
General Imaging 3DQ (GI 3DQ)
Intima Media Thickness (IMT)
MicroVascular Imaging (MVI)
Vascular Plaque Quantification (VPQ)
Region of Interest (ROI) analysis

Elastography Quantification (EQ)
Women's Health 3DQ

Philips ultrasound systems
HealthSuite Imaging Cloud PACS
HealthSuite Interoperability

Windows 10 or later, 8 GB RAM, 2 GB free disk space

BAA available
consent management
anonymization
data minimization

4.2 out of 5 stars on G2
3.8 out of 5 stars on G2
4.0 out of 5 stars on G2
4.5 out of 5 stars on G2

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: uWS-MR is an advanced MRI system developed by Shanghai United Imaging Healthcare, featuring AI-assisted image reconstruction and comprehensive post-processing tools to enhance diagnostic capabilities.

uWS-MR is a magnetic resonance imaging (MRI) system that integrates advanced software solutions for viewing, manipulating, and analyzing MR images. It includes AI-assisted image reconstruction and multiple post-processing tools to aid clinicians in evaluating anatomical and functional information, thereby enhancing diagnostic accuracy. The system is designed to produce sagittal, transverse, coronal, and oblique cross-sectional and spectroscopic images of the head, body, and extremities. It supports diagnosis when interpreted by a trained physician, with optional contrast agent use depending on the scan region. The device operates as a 3.0T superconducting MRI system with a 75 cm bore and a comprehensive set of RF coils, including new coils with increased element counts for better coverage. Software features include advanced pulse sequences, AI-assisted compressed sensing, deep learning image reconstruction (DeepRecon), image stitching, dynamic studies, fusion, spectroscopy, cardiac analysis, and other post-processing tools. The software runs as a stand-alone solution or integrated with UIH MRI scanners. Performance testing included clinical evaluations in a diverse U.S. population with multiple imaging protocols and body parts, bench and software validation of advanced features such as DeepRecon AI reconstruction, spectroscopy sequences, cardiac mapping, and artifact reduction. The device met acceptance criteria for signal-to-noise ratio, uniformity, contrast, and structural measurements. Safety and biocompatibility testing were also conducted per relevant international standards.

clinicians
radiologists
physicians
medical imaging technicians

Radiology
Neurology
Orthopedics
Cardiology
Oncology
Musculoskeletal Imaging
Pediatric Imaging
Vascular Imaging
Spinal Imaging
Abdominal Imaging
Pelvic Imaging
Thoracic Imaging
Head And Neck Imaging
Breast Imaging
Gastroenterology
Urology
Gynecology
Pulmonology
Cardiovascular Imaging
Emergency Medicine

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

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

China
United States
Poland
Dubai
Germany
France
Italy
Japan
South Korea
India

Deep learning image reconstruction (DeepRecon)

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

HIPAA
FDA 510(k)
ISO 13485
IEC 60601-1
RoHS
REACH
CE Mark
NRTL
ISO 9001
CE
POPs
PWP

FDA 510(k)
CE Mark
ISO 13485
IEC 60601-1
RoHS
REACH
CE
NRTL
ISO 9001
POPs
PWP

BAA available
Consent management
Anonymization
Data minimization


Summary: HealthVCF is an AI-powered solution by Zebra Medical Vision that automatically identifies vertebral compression fractures, aiding clinicians in early osteoporosis detection and intervention.

HealthVCF utilizes deep learning algorithms to analyze CT scans, detecting findings suggestive of vertebral compression fractures. This enables clinicians to identify patients at risk of osteoporosis and initiate preventive treatment pathways, potentially reducing the incidence of life-changing fractures. The solution has received FDA 510(k) clearance, marking it as a significant advancement in AI-driven medical imaging for bone health.

Clinicians
Radiologists
Orthopedic Surgeons
Primary Care Physicians

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

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

AI-powered vertebral compression fracture detection

Integration with existing imaging systems

Advanced analytics
Predictive modeling
Clinical trial support
Research collaboration tools
Patient engagement features
Mobile application support
Data visualization tools
Customizable dashboards
Third-party integrations
Regulatory compliance reporting

PACS systems
Electronic Health Records (EHR)
Hospital Information Systems (HIS)
Laboratory Information Systems (LIS)
Radiology Information Systems (RIS)
Medical Imaging Devices
Cloud Storage Services
Data Analytics Platforms
Clinical Decision Support Systems
Patient Management Systems
Billing and Coding Systems
Telemedicine Platforms
Patient Portals
Clinical Trial Management Systems
Research Databases
Medical Device Integration
Health Information Exchanges (HIE)
Population Health Management Platforms
Clinical Research Organizations (CRO)
Regulatory Reporting Tools

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

End-to-end encryption
Role-based access control
Audit trails
Data anonymization
Secure data storage
Regular security assessments
Compliance with security standards
Incident response plan
Data backup and recovery
User authentication mechanisms

HIPAA-compliant data handling
Data anonymization
Consent management
Data minimization
Data retention policies
User data access controls
Data breach notification procedures
Third-party data sharing policies
Data subject rights management
Privacy impact assessments


Summary: uMR 780 is a 3.0T MRI system by Shanghai United Imaging Healthcare, offering rapid imaging with AI-assisted technologies for enhanced diagnostic precision.

The uMR 780 is a 3.0 Tesla MRI system designed to produce high-quality cross-sectional and spectroscopic images of the head, body, and extremities. It utilizes AI-assisted compressed sensing (ACS) and DeepRecon technologies to accelerate imaging processes, enabling acquisitions within 100 seconds and reducing motion artifacts. The system features a 170 cm short-magnet design for ultra-high magnet homogeneity, high-performance gradients, and high-density RF channels, ensuring superior image quality and patient comfort. It is intended for use as a magnetic resonance diagnostic device (MRDD) that produces sagittal, transverse, coronal, and oblique cross-sectional images, and spectroscopic images, displaying internal anatomical structure and/or function of the head, body, and extremities. These images, when interpreted by a trained physician, may assist in diagnosis. Contrast agents may be used depending on the region of interest. The uMR 780 was FDA-cleared on May 5, 2020, under 510(k) number K193176. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K193176?utm_source=openai))

clinicians radiologists technologists patients

Neurology
Orthopedics
Cardiology
Oncology
Musculoskeletal
Pediatrics
Geriatrics
Emergency Medicine
Sports Medicine
Vascular Surgery
Spine Surgery
Trauma Surgery
Interventional Radiology
Pediatric Radiology
Neuroimaging
Musculoskeletal Imaging
Cardiac Imaging
Oncologic Imaging
Vascular Imaging
Functional Imaging

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

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

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

AI-assisted Compressed Sensing (ACS) for rapid imaging

DeepRecon for advanced image reconstruction

High-performance gradients for improved data acquisition

High-density RF channels for enhanced image SNR

Ultra-high magnet homogeneity for consistent imaging quality

Intelligent workflow for improved efficiency and consistency

Comprehensive suite of advanced applications for clinical and scientific research

uCS².0 imaging technology
uCS².0 processing engine

FDA 510(k) clearance
CE certification under MDR/MDD

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


Summary: NinesAI is an FDA-cleared AI software that assists radiologists by automatically analyzing head CT scans for signs of intracranial hemorrhage and mass effect, aiding in the prioritization and triage of emergent conditions to improve patient care.

NinesAI is an artificial intelligence software developed by Nines, Inc. It is designed to automatically analyze non-contrast head CT images to detect signs of intracranial hemorrhage and mass effect. By providing rapid notifications to radiologists, it facilitates the timely prioritization and review of critical cases, thereby enhancing workflow efficiency and patient outcomes. The software is FDA-cleared and integrates seamlessly into existing radiology practices, supporting both in-house and teleradiology services. NinesAI is available to Nines' customers at no additional cost, reflecting the company's commitment to improving radiologist efficiency and patient care through advanced technology.

Radiologists
Healthcare Providers
Medical Imaging Professionals
Teleradiology Services
Hospital Networks
Clinicians
Medical Institutions
Healthcare Administrators
Emergency Departments
Medical Imaging Technologists

Neurology
Emergency Medicine
Radiology
Trauma Care
Critical Care
Neurosurgery
Neuroimaging
Acute Care
Neurocritical Care
Stroke Care
Neurotrauma
Head Injury
Brain Injury
Intracranial Hemorrhage
Mass Effect
Neurovascular Imaging
Emergency Radiology
Neurodiagnostics
Acute Neurology
Neurocritical Imaging

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

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

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

AI-powered radiology interpretation
Automated triage recommendations
Clinical decision support
Real-time image analysis
Integration with existing PACS systems
Scalable cloud infrastructure
HIPAA-compliant data handling
Continuous learning from new data
User-friendly interface for clinicians
Support for multiple imaging modalities
Rapid deployment capabilities
High accuracy in diagnostics
24/7 system availability
Secure data storage
Customizable reporting tools
Audit trail for all user interactions
Remote access for healthcare providers
Multilingual support
Regular software updates
Comprehensive user training resources

Predictive analytics for disease progression

Fujifilm Medical Systems imaging devices

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
IDS/IPS
Regular security assessments
Data masking
Access controls

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
User data access controls
Data portability
Right to be forgotten
Data breach notification
Third-party risk assessments


Summary: CuraRad-ICH is an AI-powered software developed by CuraCloud to assist radiologists in detecting and prioritizing acute intracranial hemorrhage (ICH) in non-contrast head CT scans, enhancing diagnostic efficiency and patient outcomes.

CuraRad-ICH utilizes deep learning algorithms to analyze non-contrast head CT images, identifying features suggestive of acute ICH. It integrates with PACS/worklist systems to prioritize cases, facilitating timely clinical assessment. The software was trained and validated using CT images from over 300 imaging facilities across the U.S., processing each case in approximately 20 seconds. It received FDA 510(k) clearance in April 2020 and is available on the Nuance AI Marketplace for seamless integration into existing radiology workflows.

Radiologists
Healthcare Providers
Medical Imaging Professionals
Clinical Decision Support Teams
Hospital IT Departments
Medical Device Integrators
Healthcare Administrators
Clinical Researchers
Regulatory Affairs Specialists
Medical Software Developers

Neurology
Emergency Medicine
Radiology
Trauma Care
Critical Care
Neurosurgery
Neuroimaging
Stroke Care
Acute Care
Neurocritical Care
Neurodiagnostics
Medical Imaging Informatics
Clinical Decision Support
Healthcare It
Medical Device Integration
Fda Regulatory Affairs
Clinical Research
Medical Software Development
Healthcare Administration
Medical Imaging Technology

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

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

AI-powered triage for acute intracranial hemorrhage detection

Deep learning algorithms for non-contrast head CT analysis

Integration with PACS/worklist systems for case prioritization

Enhanced CT triage capabilities for incidental pneumonia findings associated with COVID-19

Processing time of approximately 20 seconds per case

Trained on CT images from over 300 imaging facilities across the U.S.

Available on the Nuance AI Marketplace for diagnostic imaging

Clinical validation with 388 CT studies showing 90.6% sensitivity and 93.1% specificity in detecting ICH

Average processing time per study was 43 seconds

Designed to aid in prioritizing the clinical assessment of adult non-contrast head CT cases with features suggestive of acute ICH

Analyzes cases using deep learning algorithms to identify suspected ICH findings

Outputs case-level findings to PACS/workstation for worklist prioritization or triage purposes

Enhancement to process chest CT exams for incidental pneumonia findings associated with COVID-19

Integration with PACS and enterprise worklist applications to improve clinical workflow

Trained and validated on CT images from more than 300 imaging facilities in almost all states in the U.S.

Core AI engine processes each case in about 20 seconds on average leveraging GPU capabilities

FDA clearance received on April 13, 2020

Developed by CuraCloud Corporation, a medical AI R&D company

Available on the Nuance AI Marketplace, integrated with Nuance PowerScribe reporting system

Chest CT analysis for incidental pneumonia findings associated with COVID-19

PACS/worklist systems
Nuance PowerScribe reporting system


Summary: SIGNA Premier is a 3T wide-bore MRI scanner from GE HealthCare, offering advanced imaging capabilities and enhanced patient comfort for clinical and research applications.

The SIGNA Premier 3T wide-bore MRI scanner from GE HealthCare delivers high-performance imaging with a 70 cm bore, advanced gradient technology, and deep-learning-based reconstruction techniques, ensuring superior image quality and patient comfort for a wide range of clinical and research applications.

clinicians radiologists researchers patients

Neurology
Oncology
Cardiology
Musculoskeletal
Abdominal Imaging
Pelvic Imaging
Vascular Imaging
Pediatric Imaging
Sports Medicine
Orthopedics
Gastroenterology
Urology
Gynecology
Pulmonology
Endocrinology
Rheumatology
Infectious Diseases
Immunology
Genetics
Pediatrics

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

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

AIR™ Recon DL deep learning reconstruction

48-channel Head Coil
Advanced diffusion package
HyperWorks applications suite


Summary: The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered system designed to assist healthcare professionals in analyzing and interpreting 12-lead resting ECG data, aiding in the detection of common cardiac abnormalities.

The AI-ECG Platform is a distributed ECG auto-analysis system that utilizes artificial intelligence to support physicians in measuring and interpreting 12-lead resting ECGs. It assists in identifying cardiac abnormalities such as arrhythmias, myocardial infarction, ventricular hypertrophy, and abnormal ST-T changes. The platform is intended for use by qualified healthcare professionals in hospitals and other healthcare facilities. It is compatible with ECG devices that export recordings in formats like Carewell ECG, HL7 aECG, DICOM ECG, SCP ECG, or MFER ECG. The system comprises an AI-ECG Workstation for fast AI computing, a web-based Management Portal for organizational settings and ECG test tasks, and an AI-ECG Diagnostic Client for ECG review and report generation. The AI-ECG Platform is not intended for patient monitoring or for use with non-standard leads or electrodes without conductive paste/gel/fluid. Interpretation results are advisory and should be used in conjunction with the physician's knowledge of ECG.

Clinicians
Cardiologists
Healthcare Professionals
Medical Technologists

Cardiology
Electrocardiography
Arrhythmia Detection
Cardiac Imaging

China
United States
European Union
Global

AI-powered ECG analysis
12-lead resting ECG interpretation
Ambulatory ECG analysis
ECG waveform recognition
ECG measurement and interpretation
ECG report generation
ECG data export in multiple formats
ECG data storage and management
ECG data security and compliance
ECG data backup and recovery
ECG data sharing and collaboration
ECG data visualization and reporting
ECG data integration with other systems
ECG data analytics and insights
ECG data monitoring and alerts
ECG data quality assurance
ECG data validation and verification
ECG data audit trails
ECG data access control
ECG data user management

ECG data archiving
ECG data compression
ECG data encryption
ECG data anonymization
ECG data de-identification
ECG data pseudonymization
ECG data masking
ECG data tokenization
ECG data redaction
ECG data obfuscation

Carewell ECG devices
HL7 aECG
DICOM ECG
SCP ECG
MFER ECG

Windows 7 or above; macOS 10.13 or above


Summary: Hepatic VCAR is an AI-driven software by GE HealthCare that automates CT liver segmentation to enhance liver assessment efficiency and consistency.

Hepatic VCAR utilizes deep learning algorithms to perform automatic liver segmentation across various phases and hepatic artery segmentation, achieving over 95% success in liver segmentation. It offers a guided workflow for comprehensive liver anatomy assessment, aiding in surgical planning and lesion evaluation. Key features include intelligent liver lesion segmentation with an auto contour tool, intuitive segmentation of liver segments or lobes, tumor burden calculation, and efficient reporting tools to facilitate communication.

clinicians
radiologists
surgeons
medical imaging professionals

Radiology
Oncology
Surgical Planning
Medical Imaging

United States
United Kingdom
Italy
Turkey
Australia
New Zealand
Indonesia

Intelligent liver lesion segmentation using auto contour tool

Deep-learning algorithm for liver segmentation at different phases and hepatic artery segmentation

Intuitive tools to segment the liver into its segments or lobes

Efficient & consistent reporting tools to facilitate communication

PACS
EHR systems
DICOM devices
HL7 interfaces

BAA available
consent mgmt
anonymization
data minimization


Summary: SonoVision Ultrasound Imaging System is a machine learning-enabled platform designed for real-time intraoperative visualization of neural and other anatomical structures during spine surgery.

SonoVision utilizes advanced image-processing algorithms to differentiate nerve, muscle, bone, and vessels in real-time, enhancing surgical precision and safety. It received FDA 510(k) clearance in April 2020, marking it as the first machine learning-enabled ultrasound product for spine surgery. The system has been validated through in-vivo porcine studies, demonstrating high sensitivity and specificity in detecting neural structures within the psoas muscle. Additionally, SonoVision has been recognized with the 2019 Spine Technology Award for its innovative approach to spine surgery imaging.

surgeons
neurosurgeons
orthopedic surgeons
spine specialists

Spine Surgery
Neurosurgery
Orthopedic Surgery

Real-time intraoperative ultrasound imaging

Differentiation of nerve, muscle, bone, and vessels

Machine learning-enhanced image processing

3D imaging
Image-guided navigation integration

Windows 10 or later, Linux kernel 4.4 or later


Summary: Broncholab is a diagnostic platform that utilizes Functional Respiratory Imaging (FRI) to provide detailed, regional lung function insights, aiding in the diagnosis and monitoring of respiratory diseases.

Broncholab, developed by Fluidda, analyzes CT scan data using FRI technology to deliver quantitative parameters for pulmonary tissue, supporting physicians in diagnosing and monitoring respiratory conditions. It offers detailed 3D segmentation, volumetric analysis, and density evaluations, facilitating personalized treatment plans. The platform has received FDA clearance and CE certification, ensuring its clinical applicability in the U.S. and Europe. Broncholab is accessible via a secure online portal, maintaining patient privacy and data security.

pulmonologists
radiologists
physicians
healthcare providers

Pulmonology
Radiology
Respiratory Medicine

United States
European Union
Iceland
Liechtenstein
Norway

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

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

Functional Respiratory Imaging (FRI)
Quantitative HRCT analysis
Regional lung function visualization
Disease progression monitoring
Therapy optimization support

Data encryption at rest
Data encryption in transit
Role-Based Access Control (RBAC)
Audit logs


Summary: red dot® is an AI-powered diagnostic platform by Behold.ai that rapidly analyzes CT and X-ray images to detect critical conditions like lung cancer and stroke, supporting faster clinical decisions.

red dot® is an AI-driven medical imaging platform developed by Behold.ai, designed to swiftly identify critical conditions such as lung cancer and stroke in CT and X-ray scans. It integrates seamlessly into existing clinical workflows, providing near-instant results to aid in rapid clinical decision-making. The platform has demonstrated robust clinical validation, analyzing over 32,000 patients with zero missed lung cancers over three years using its Rule-Out AI. red dot® is FDA-cleared, CE-marked, and CQC-registered in the UK, ensuring compliance with international medical device regulations. It offers two core products: red dot® Lung Cancer Detection Platform, which automatically identifies normal scans and triages potential lung cancer cases, and red dot® CTH V1, which enables 24/7 triage of acute findings and quickly rules out normal CT head exams to support urgent care pathways.

clinicians
radiologists
nurses
patients
admins
healthcare providers
medical institutions
healthcare organizations
diagnostic centers
hospitals

Radiology
Oncology
Neurology
Emergency Medicine
Pulmonology
Cardiology
Internal Medicine
Geriatrics
Pediatrics
Orthopedics
Trauma Care
Intensive Care
Surgical Specialties
Family Medicine
Sports Medicine
Vascular Medicine
Infectious Diseases
Gastroenterology
Endocrinology
Rheumatology

United States
United Kingdom
European Union
India
Australia
Canada
South Africa
New Zealand
Singapore
Malaysia
Hong Kong
Japan
South Korea
China
Brazil
Mexico
Argentina
Chile
Colombia
Peru
Ecuador

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

United Kingdom
United States
India
Australia
Canada
South Africa
New Zealand
Singapore
Malaysia
Hong Kong

AI-powered diagnostic platform for CT and X-ray imaging

Rapid detection of critical conditions like lung cancer and stroke

Near-instant results to support faster clinical decisions

Clinical validation with over 32,000 patients and zero missed lung cancers over three years

Seamless integration into existing clinical workflows

Direct connection with RIS or PACS systems

Processes each CXR at the point of acquisition

red dot® Lung Cancer Detection Platform
red dot® CTH V1


Summary: icobrain-ctp is an AI-driven software by icometrix that analyzes CT perfusion scans to assess brain tissue perfusion, aiding in stroke evaluation and management.

icobrain-ctp is an FDA-cleared and CE-marked software designed to process CT perfusion scans of the brain. It calculates tissue perfusion parameters and identifies volumes affected by abnormalities, providing detailed reports to assist clinicians in stroke assessment and decision-making. The software integrates with standard radiological viewing platforms and exports CT perfusion parameter maps in DICOM format, facilitating efficient and informed clinical decisions.

United States
European Union
Canada
Australia
South America

Brain atrophy measurement and regional volumes

Stroke lesion and perfusion quantification

Tumor core/resection cavity/edema tracking

Clinical decision support metrics and visualizations

Extended reporting templates/custom templates

Regulatory/security documentation pack (MDS2, CAIQ)

Data processing/privacy agreement templates (DPA/BAA)

PACS
RIS
EMR/EHR
Epic
Cerner
Philips
Siemens Healthineers
GE Healthcare
Sectra
Agfa
Radiology viewers
Billing systems (for CPT processing)
Clinical registries/research platforms

icobridge appliance (on-prem Linux-based gateway) or icometrix cloud; DICOM-capable scanners/PACS; hospital network connectivity

HIPAA
GDPR
HITECH
ISO 27001
ISO 13485
MDSAP

FDA clearance (multiple solutions)
CE mark (NB1639)
ISO 13485
ISO 27001
MDSAP

Data encryption at rest and in transit
Role-based access control (RBAC)
Single sign-on (SSO) / SAML
Audit logging and traceability
Vulnerability reporting process

US and EU hosting options (regional cloud hosting available)


Summary: intelliMammo densityai is an AI-driven solution by Densitas that automates and standardizes breast density assessments in alignment with ACR 5th edition guidance, enhancing mammography quality and compliance.

intelliMammo densityai utilizes deep learning models to provide reliable and reproducible breast density evaluations, eliminating subjectivity and variability associated with visual assessments. It integrates seamlessly into existing reporting and PACS workflows, facilitating efficient and retrospective analyses. The solution supports compliance with breast density notification requirements and assists in identifying higher-risk women who may benefit from supplemental screening. Additionally, it aligns with the ACR BI-RADS® 5th edition density scales, ensuring standardized assessments across health systems.

radiologists
technologists
healthcare administrators

Automated breast density assessment aligned with ACR BI-RADS® 5th edition

Mammography positioning quality analysis

Image quality metrics (compression, exposure, positioning criteria)

Population and facility-level analytics dashboards

Retrospective audit of archived DICOM studies

Closed-loop traceability and corrective action tracking

Automated EQUIP/MQSA and CAR MAP reporting

Patient-specific risk scorecard/risk assessment

Interactive filtering for clinic/system performance monitoring

Performance indicators for technologists and devices

Compression force and root-cause analysis by vendor/clinic

intelliMammo qualityai
Analytics/advanced reporting
intelliMaven (GPT AI assistant)

PACS
RIS
Breast imaging reporting systems
Vendor neutral archive (VNA)
Third-party AI platforms
Radiology worklist systems
Intelerad (IntelePACS)
PenRad
MTMI
Blackford Analysis
iCAD
TungstenQI
RAD-AID International

Web browser; DICOM feed or PACS connectivity; internet connection (SaaS) or server installation for on-prem deployments

HIPAA
PIPEDA
FDA MQSA EQUIP
ACR CAR MAP alignment

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

United States, Canada, United Kingdom (regional hosting options)


Summary: Biograph Horizon is a cost-effective PET/CT imaging system from Siemens Healthineers, offering high-resolution imaging and advanced features for oncology, neurology, and cardiology applications.

Biograph Horizon PET/CT system utilizes 4 x 4-mm LSO crystal elements to deliver high-resolution images and true time-of-flight (TOF) technology for improved lesion detectability and anatomical detail. It supports a broad range of oncology, neurology, and cardiology indications using all commercially available PET tracers. The system features AIDAN, an intelligent imaging platform that enhances patient and user experience with a fast, reproducible workflow. Additionally, it offers dedicated CT solutions for high-quality imaging at low doses, and includes automated tools like Quanti•QC for overnight quality control procedures, reducing manual tasks and increasing productivity. The system is available in both fixed and mobile configurations, catering to various healthcare settings. It has received FDA clearance and is marketed in multiple countries, including the United States. The company, Siemens Healthineers, was founded in 2016 and has offices in several countries worldwide.

clinicians
radiologists
nuclear medicine specialists
oncologists
neurologists
cardiologists

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

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

FlowMotion continuous bed motion scanning

HD-Chest technology for motion-frozen chest scans

Effective sensitivity: 14.9 or 26.5 cps/kBq

Effective peak NEC rate: 224 or 336 kcps ≤26 kBq/cc

Interleaved Volume Reconstruction (IVR)
FlowMotion AI
OncoFreeze AI
PET Fast Workflow AI
Multiparametric PET Suite AI

syngo Security package
Compliance with HIPAA regulations

Data anonymization
Patient consent management


Summary: MRCAT Brain is a Philips MRI-based solution for planning radiation therapy in brain tumors, eliminating the need for CT scans by providing detailed anatomical and density information from a single MRI scan.

MRCAT Brain enables radiation therapy planning for primary and metastatic brain tumors using MRI as the sole imaging modality. It delivers high-resolution anatomical data for target and organ-at-risk delineation and CT-equivalent density information for dose calculations, all from a single, rapid MRI scan. This approach enhances patient comfort, reduces procedural complexity, and improves workflow efficiency by eliminating the need for CT-MRI registration.

radiation oncologists
medical physicists
radiologists

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

Pricing details are not publicly disclosed; please contact Philips for more information.

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

Automatic generation of synthetic CT images using AI

Fast computation of MRCAT attenuation maps based on mDIXON T1W scan

Generation of continuous Hounsfield units for CT-like image appearance

High geometric accuracy in image acquisition

Seamless workflow integration with DICOM-CT conform datasets

Export of MRCAT datasets to treatment planning systems

Use of high-resolution MRCAT data for patient positioning at the Linac

Support for MR-only radiotherapy planning without the need for CT

Enhanced patient comfort through reduced scan times

Improved productivity by allowing additional sequences within the scan time

MRCAT Prostate + Auto-Contouring
MRCAT Pelvis

Ingenia 1.5T MR-RT
Ingenia 3.0T MR-RT
Ambition 1.5T MR-RT
Elition 3.0T MR-RT

Ingenia 1.5T MR-RT, Ingenia 3.0T MR-RT, Ambition 1.5T MR-RT, Elition 3.0T MR-RT

BAA available
Consent management
Data anonymization


Summary: Auto Positioning is an AI-driven feature by GE Hangwei Medical Systems that automates patient positioning in CT scans, enhancing accuracy and workflow efficiency.

Auto Positioning utilizes a ceiling-mounted 2D/3D video camera and deep learning algorithms to identify anatomical landmarks, determine patient orientation, and adjust table positions for CT examinations, thereby improving image quality and operational efficiency.

radiologic technologists
CT technologists
healthcare providers

Radiology
Cardiology
Oncology
Neurology
Orthopedics
Pediatrics
Emergency Medicine
Vascular Surgery
Pulmonology
Gastroenterology
Urology
Gynecology
Endocrinology
Infectious Disease
Dermatology
Rheumatology
Hematology
Immunology
Allergy
Sleep Medicine

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

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

Contact GE Hangwei Medical Systems for pricing information.

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

Fully automated motor-driven system for precise positioning

Predefined positions for consistent imaging

Large touchscreen console for intuitive operation

Ergonomic design for easy patient access

Built-in safety sensors to prevent collisions

Auto rotating touch screen console for flexible control

Multiple control options including RADMAX workstation and remote controls

45° Bucky rotating feature for enhanced imaging of tall patients

Vertical synchronization between wall Bucky and X-ray tube

Auto stitching for combining multiple images into a single view

Precision movement control for tube stand and Bucky positioning

Automated synchronization between tube stand, table Bucky, and wall Bucky

Collision sensors and emergency stops for safety

Comprehensive patient dose management system

Automatic exposure control (AEC) for optimized radiation safety

Dose area product (DAP) measurement for monitoring patient safety

Radiation dose structured reports (RDSR) for accurate tracking

Carbon fiber tabletop for enhanced X-ray transmittance

RADMAX workstation
Remote control
Mini remote control
Tube stand 15.6″ touchscreen
Control panel of wall Bucky stand
WBS-TA Deluxe 10.1″ LCD
Wireless foot switch
Handgrip switch
Wired foot switch

Built-in safety sensors
Emergency stop switches

The Auto Positioning feature has significantly reduced patient setup times, enhancing workflow efficiency.

GE HealthCare's Auto Positioning has been recognized for its innovative approach to patient positioning in CT imaging.


Summary: Air Next is a portable, FDA-cleared spirometer enabling at-home monitoring of lung function for patients with respiratory conditions.

Air Next is a portable spirometer designed for home use, allowing patients to monitor their lung function remotely. It has received FDA 510(k) clearance for in-home use, enabling continuous spirometry and real-time data sharing with healthcare providers. This device is particularly beneficial for individuals with conditions like COPD, asthma, and ALS, reducing the need for in-person appointments and facilitating timely interventions. Air Next is also EU MDR certified, ensuring compliance with European medical device regulations. The device connects via Bluetooth to iOS and Android devices, conducting tests such as forced vital capacity and forced expiratory volume, with data synced to the patient's care team. NuvoAir, the company behind Air Next, is a Swedish digital therapeutics firm specializing in respiratory health, with offices in Stockholm and Boston. The company was founded in 2014.

patients
clinicians
healthcare providers

Pulmonology
Respiratory Care
Chronic Obstructive Pulmonary Disease
Asthma
Cystic Fibrosis
Neuromuscular Disorders
Hypoxia
Heart Failure
Hypertension
Stroke
Arrhythmia
Sleep Apnea
Insomnia
Narcolepsy
Restless Leg Syndrome

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

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

€24.95 per month for Air MD Premium subscription, offering advanced features and unlimited patient data storage. Contact NuvoAir for device pricing and insurance coverage details.

Remote spirometry testing
Real-time data transmission
Patient monitoring
Clinical data collection
User-friendly interface
Data visualization
Test result storage
Session grading
Multiple user profiles
Data sharing with healthcare providers

Integration with electronic health records (EHR) systems

Apple HealthKit
Electronic Health Records (EHR) systems
Clinical trial platforms

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

Data anonymization
Data minimization
User consent management
Data residency controls


Summary: QyScore® is an AI-powered neuroimaging analysis platform designed to enhance the diagnosis and monitoring of central nervous system (CNS) diseases by providing automated, precise brain MRI analyses.

QyScore® offers automated quantification of brain structures and lesions from MRI scans, facilitating early detection and monitoring of CNS diseases such as Alzheimer's, multiple sclerosis, and Parkinson's. The platform generates automated patient reports and integrates with existing clinical workflows, aiming to reduce image reading variability and segmentation errors by 89%. It is FDA-cleared and CE-marked, supporting both clinical routine and clinical trial applications.

clinicians radiologists neurologists researchers patients

Neurology Radiology Geriatrics Psychiatry Neurosurgery

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

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

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

cloud-based hybrid on-premises virtualized

Quantification of neuroinflammation and neurodegeneration

Whole brain, white matter, grey matter by lobe, cerebellum analysis

Ischemic Stroke analysis
Huntington’s Disease analysis
Epilepsy analysis
Traumatic Brain Injury analysis
Schizophrenia analysis
Depression analysis

PACS
AI marketplace
distribution platform
stand-alone web-based

cloud-based, hybrid, on-premises, virtualized

HIPAA
GDPR
ISO 27001
ISO 9001
CE Certification
FDA 510(k) clearance

CE Certification
FDA 510(k) clearance
ISO 27001
ISO 9001

end-to-end encryption
zero-trust architecture
privacy by design
SOC 2 Type II compliance
regular security assessments
penetration testing
multi-factor authentication
role-based access control
continuous monitoring
incident response planning

data minimization
anonymization
pseudonymization
data residency compliance
user data control
data sharing controls


Summary: icobrain is an AI-powered software developed by icometrix that automates the analysis of brain MRI scans, aiding in the diagnosis and monitoring of neurological disorders.

icobrain is an FDA-cleared and CE-marked software solution that automatically labels and quantifies brain structures in MRI scans. It assists clinicians in diagnosing and tracking neurological conditions by providing detailed volumetric reports and facilitating longitudinal comparisons of brain images.

Clinicians Radiologists Neurologists Researchers

Multiple Sclerosis
Alzheimer's Disease
Dementia
Traumatic Brain Injury
Epilepsy
Stroke
Parkinson's Disease
Brain Tumors

United States
Europe
Canada
South America
Australia

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

Brain atrophy measurement and regional volumes

Stroke lesion and perfusion quantification

Tumor core/resection cavity/edema tracking

Clinical decision support metrics and visualizations

FDA cleared (multiple solutions)
CE marked
ISO certified


Summary: FFRangio is a non-invasive system that provides real-time fractional flow reserve (FFR) assessments from routine angiograms, aiding in coronary artery disease diagnosis and treatment planning.

FFRangio leverages artificial intelligence and advanced computational science to derive physiologic information from standard angiograms, eliminating the need for drug stimulation and invasive pressure wires. It offers quick and reliable intraprocedural FFR values for the entire coronary tree, enhancing clinical decision-making during percutaneous coronary interventions (PCI).

United States
Europe
Japan
Asia
Middle East

United States
Netherlands
Japan
Israel
China
India
South Korea
Singapore
Australia
United Kingdom

Non-invasive coronary artery disease assessment

Wire-free fractional flow reserve (FFR) measurement

Automated analysis of coronary angiograms

Real-time decision support for percutaneous coronary intervention (PCI)

Integration with existing cath lab equipment

Enhanced patient safety through reduced procedure time

Advanced analytics
Remote monitoring
Data visualization tools

Cath lab imaging systems
Hospital information systems
Electronic health records (EHR)

High-performance computing hardware, compatible cath lab imaging systems

Data anonymization
Patient consent management
Data minimization


Summary: PhantomMSK Trauma is an AI-driven software application developed by OrthoGrid Systems to enhance surgical precision in trauma procedures by correcting fluoroscopic image distortion, thereby improving patient outcomes.

PhantomMSK Trauma is a software application designed to assist orthopedic surgeons during trauma procedures by correcting fluoroscopic image distortion. It integrates with existing hospital equipment, providing real-time image analysis to guide implant, instrument, and anatomic alignment. This technology aims to improve surgical accuracy and efficiency, leading to better patient outcomes. The application received FDA 510(k) clearance in December 2019 and was made available in Spring 2020. In August 2024, OrthoGrid Systems was acquired by Zimmer Biomet, a global medical technology leader, to further advance the integration of AI-driven surgical guidance systems in orthopedic surgery.

orthopedic surgeons
trauma surgeons
medical professionals
hospital staff
surgical teams

Orthopedic Surgery
Trauma Surgery
Musculoskeletal Surgery
Joint Replacement
Hip Surgery
Knee Surgery
Spine Surgery
Sports Medicine
Podiatry
Rheumatology
Physiatry
Pain Management
Rehabilitation
Pediatric Orthopedics
Geriatric Orthopedics
Hand Surgery
Foot And Ankle Surgery
Shoulder Surgery
Elbow Surgery
Hip Preservation Surgery

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

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

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

Fluoroscopic image distortion correction

Implant, instrument, and anatomic alignment assistance

Compatibility with all manufacturer devices

Real-time implant position visualization

Enhanced surgical accuracy and efficiency

Integration with existing hospital equipment

Hip application
Hip Preservation application

C-arm fluoroscopic imaging systems
Hospital equipment

Compatible with various devices and systems

Data encryption
Access control
Audit logs


Summary: The 7D FLASH™ Navigation System is an image-guided surgical platform that enhances precision and efficiency in spine and cranial procedures by utilizing machine-vision technology for rapid, radiation-free 3D imaging.

The 7D FLASH™ Navigation System offers advanced image-guided navigation for spine and cranial surgeries, providing rapid, radiation-free 3D imaging through machine-vision technology. It features near-instant 3D registration, optimized workflow integration, high accuracy with real-time navigation, and cost-effective operation by eliminating the need for intraoperative radiology equipment. The system is designed for use in both open and minimally invasive procedures, enhancing surgical precision and efficiency.

Surgeons
Operating Room Staff
Hospital Administrators

United States
European Union
Japan
Other Select Countries

Other Languages as Supported by Regional Markets

Robotic-assisted surgery
Laparoscopic instrument control
Digital laparoscopy
Augmented intelligence
Machine vision integration
Reusable instruments
Advanced energy tools
Ultrasonic system integration
Intelligent Surgical Unit (ISU)
FDA 510(k) clearance
CE Mark approval
Surgical visualization enhancement
Endoscopic tissue manipulation
Surgical field visualization
Instrument tracking
Surgical image analytics
Scene cognition
Surgical data analytics
Clinical workflow optimization
Surgical precision enhancement

Intelligent Surgical Unit (ISU)
Advanced energy tools
Ultrasonic system integration
Machine vision integration
Augmented intelligence features
Surgical image analytics
Scene cognition
Surgical data analytics
Clinical workflow optimization
Surgical precision enhancement

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

Windows Server 2016 or later, Linux kernel 4.4 or later, 16 GB RAM, 500 GB SSD storage, 1 Gbps Ethernet connection

Data encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Network segmentation
Secure API communications
Compliance with security standards
Advanced security controls

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Compliance with privacy regulations
Patient data protection
Confidentiality agreements
Data access controls
Data retention policies
Data sharing policies


Summary: HealthCXR is an AI-powered software developed by Zebra Medical Vision to assist radiologists in identifying pleural effusion in chest X-rays, thereby enhancing triage efficiency and patient care.

HealthCXR utilizes artificial intelligence to analyze chest X-ray images for signs of pleural effusion, a condition characterized by fluid accumulation around the lungs. It automatically alerts radiologists, enabling faster prioritization and review of critical cases. The software operates alongside standard care workflows, does not provide diagnoses, and is intended solely as a triage tool to assist clinicians in managing their caseloads more efficiently.

Radiologists
Clinicians
Medical Imaging Professionals

Pulmonology
Cardiology
Emergency Medicine
Critical Care

United States
Europe
Asia
Australia
Latin America

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

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

Automated detection of radiological conditions

Secure data handling compliant with healthcare standards

User-friendly interface for radiologists

Continuous model updates with latest medical research

Data de-identification for research purposes

High availability and disaster recovery mechanisms

Integration with electronic health records (EHR)

Real-time collaboration features for medical teams

Integration with laboratory information systems (LIS)

Integration with wearable health devices

Predictive analytics for disease progression

Natural language processing for radiology reports

Integration with health information exchanges (HIE)

PACS
EHR
FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
LIS
Health information exchanges (HIE)
Wearable health devices
Telemedicine platforms
Laboratory information systems (LIS)
Clinical trial management systems
Health data analytics platforms
Patient portals
Mobile health applications
Clinical decision support systems
Medical imaging devices
Radiology information systems (RIS)
Healthcare data warehouses

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Data masking
Access controls
Network security
Incident response plan

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


Summary: SOZO Digital Health Platform by ImpediMed is an FDA-cleared bioimpedance spectroscopy device that non-invasively assesses fluid status and tissue composition to aid in early detection and management of lymphedema and heart failure.

SOZO Digital Health Platform utilizes bioimpedance spectroscopy (BIS) technology to provide clinicians with precise, non-invasive measurements of fluid status and tissue composition in less than 30 seconds. It offers applications for lymphedema assessment, body composition analysis, segmental analysis, and heart failure fluid assessment, supporting early detection and management of these conditions. The platform is FDA-cleared, CE-marked, and ARTG-listed, ensuring compliance with international medical device standards. It integrates with electronic health records (EHR) for seamless documentation and is HIPAA-compliant, ensuring secure patient data handling. The device is available in the United States, Australia, and select European countries, with support for English and other major languages. Pricing details are available upon request, and the company offers a commercial license for the software. ImpediMed was founded in 2010 and has offices in the United States, Australia, and Europe.

Lymphedema
Heart Failure
Body Composition Analysis

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

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

Bioimpedance spectroscopy (BIS) for lymphedema assessment

Heart failure monitoring with HF-Dex™ index

Real-time data access via MySOZO web portal

Patient data storage in HIPAA-compliant cloud

User authentication with complex passwords

High availability and encrypted data backups

Segregated virtual private network architecture

Hy-Dex™ hydration analysis
Skeletal muscle mass measurement
Fat mass measurement
Fat-free mass measurement
Protein and minerals analysis
Basal metabolic rate calculation
Phase angle measurement
Body mass index (BMI) calculation
Weight measurement
Segmental outputs

Epic
Cerner
PACS
billing
Active Directory
LDAP
Apple HealthKit
Google Fit
Fitbit API
Twilio Health
Jitsi SDK
FHIR APIs

Android 8.1 or greater, iOS v13 or greater, Chrome or Edge Chromium or Firefox browser

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP


Summary: RSI-MRI+ is FDA-cleared software that enhances prostate MRI imaging by improving the detection of restricted diffusion areas, aiding in early prostate cancer diagnosis.

RSI-MRI+ is a standalone software developed by MultiModal Imaging Services Corporation (dba HealthLytix) to assist clinicians in analyzing diffusion-weighted and anatomical MRI images. It enhances the visibility of restricted diffusion areas, fuses these with anatomical images, and uses AI to segment and quantify the prostate, providing detailed reports. This aids radiologists and urologists in more efficiently analyzing prostate MRI data. The software is FDA-cleared and outputs standard DICOM format compatible with commercial PACS systems.

Automatic processing of diffusion-weighted and anatomical MRI images

Enhanced visibility of restricted diffusion areas

Fusion of diffusion data with anatomical T2-weighted MR images

AI-driven prostate segmentation and quantification

Automated reporting of derived image metrics

Standard DICOM format outputs compatible with commercial PACS systems

Windows, macOS, or Linux operating system

Data encryption
Access controls
Audit trails


Summary: MEDIP Pro is a comprehensive medical imaging software that utilizes AI for image analysis, 3D modeling, and digital twin creation, integrating with NVIDIA Omniverse for advanced visualization and simulation.

MEDIP Pro processes medical images to perform analysis, 3D modeling, and design, leveraging AI-driven segmentation technology. It supports various file formats, including DICOM, OBJ, STL, 3MF, and VTK, and saves work in its proprietary .mip format. The software integrates with NVIDIA Omniverse, enabling real-time 3D modeling and virtual simulations of medical images, facilitating applications in clinical diagnosis, surgery, education, and research.

clinicians
nurses
patients
admins
payers
medical device companies
medical schools
research institutions
medical device manufacturers
healthcare providers

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

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

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

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

AI-powered segmentation of over 100 organs and lesions

Conversion of 2D medical images (CT, MRI) to 3D models

Integration with NVIDIA Omniverse for digital twin creation

Advanced volume rendering and visualization

Customization of deep-learning engine for segmentation

CAD/CAM functionality for 3D modeling and design

Support for multiple file formats: DICOM, OBJ, STL, 3MF, VTK

Virtual reality (VR) and augmented reality (AR) integration

Measurement tools with 2-axis coordination

User interface improvements and system stabilization

Support for various anatomical regions: brain, chest, abdomen, bone & muscles

Automatic naming and file management functions

Medical Components Connector for NVIDIA Omniverse

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

FDA 510(k) Clearance
CE Marked
MHRA Registered
MFDS Approved

Data anonymization
User interface improvements
System stabilization


Summary: KOALA is an AI-driven software developed by IB Lab that automates the analysis of knee osteoarthritis in X-ray images, providing precise measurements and detailed reports to assist clinicians in diagnosis and treatment planning.

KOALA (Knee OsteoArthritis Labeling Assistant) is a medical software developed by IB Lab GmbH that utilizes artificial intelligence to analyze knee X-ray images for signs of osteoarthritis. It automatically measures joint space width and identifies radiographic features indicative of osteoarthritis, generating detailed reports compatible with FDA-approved DICOM viewers. The software operates in a Linux environment and can be deployed on systems supporting Docker. It is intended for use by healthcare professionals trained in radiology and is not designed for direct patient interaction or control of life-sustaining devices.

Clinicians
Radiologists
Orthopedic Surgeons

Linux
Windows
macOS
Docker-compatible systems

Detection of radiographic features of osteoarthritis

Compatibility with FDA-approved DICOM viewers

Data encryption
Regular security audits
Compliance with industry best practices

Data anonymization
Compliance with privacy regulations

Flexible hosting options, including on-premise and cloud deployments

Vercel
WebPT
Raintree Systems
Tebra
Pabau
Agency Analytics
OnCall Health
Absolute for Healthcare
Integration Labs
Healthland Centriq
Practice Better
EPICompliance
TherapyNotes
CareVue
Thrive EHR
HealthAI Register
HealthTech Solutions
MedTech Innovations
CareSoft
HealthBridge
Medix
HealthPro
MedCore
CareLink
MedConnect
HealthNet
MedPlus
CareFirst
MedCare
HealthOne
MedLink

Koala has been a game-changer for our sales team. The real-time data access and powerful account scoring have significantly improved our outreach efforts.

The live map of users enables me to take action on visiting accounts super quickly.

Koala's intuitive UI and seamless Salesforce integration have streamlined our outbound sequences, allowing us to focus on meaningful conversations.

The team at Koala is incredibly responsive and open to feedback, continuously improving the product to meet our needs.

Koala's automated outbound functionality has driven great open rates and meeting bookings for us.

The content report feature has uncovered key behavioral signals that correlate with opportunity creation.

Koala provides a lot of useful data about buyer intent, which has led to tangible pipeline and bookings.

The team is delivering faster than any other team in SaaS, and the set of features and capabilities is beyond expectations.

Koala has been an awesome tool for my company's Marketing department and Sales reps thus far.

The Sales reps have really appreciated the notifications Koala sends them when someone from one of their Accounts shows high levels of intent.

The Marketing team has found a lot of value in using Koala's content reports, which give them an idea of what content tends to help drive our prospects down the marketing funnel.

The Koala team is super responsive with their support and will gladly work with me on any bugs or configuration issues in a timely manner.

Koala has been a great solution for providing a reporting dashboard that shows data from across a large number of different tools.

We are able to pull in data from Paid Ads, Email Marketing, Organic Traffic & Search, Google Sheets, and more.

The dashboard is easy to set up and very customizable, offering a ton of integrations.

The support chat is very quick, and a real person can typically help you within a few minutes.

Koala's integrations with Salesforce and Outreach have streamlined our sales processes, providing a comprehensive view of our prospects.

The automated outbound emails have driven great open rates and meeting bookings for us.

Koala's flexible data model supports complex rules for defining PQA triggers based on product data, enabling us to implement our ideal account scoring and assignment flows.

Salesforce
Outreach
Rudderstack
Google BigQuery
Slack
Clearbit
HubSpot
Marketo
Pardot
Intercom
Zendesk
Zapier
Segment
Twilio
Stripe
Shopify
Magento
WordPress
Jira
Asana
Trello


Summary: BlueStar is an FDA-cleared digital health platform developed by Welldoc to assist individuals in managing diabetes through personalized coaching and real-time feedback.

BlueStar is a comprehensive digital health solution designed to support individuals with diabetes in self-managing their condition. It offers personalized, real-time coaching, integrates with various health devices, and facilitates communication between patients and healthcare providers. The platform has received multiple FDA clearances, including support for type 1 and type 2 diabetes, continuous glucose monitoring (CGM) integration, and insulin dosing recommendations. BlueStar is available through select organizations and is marketed in the U.S. and Canada.

FDA-cleared digital health solution for type 1 and type 2 diabetes management

Integration with blood glucose monitoring and continuous glucose monitoring devices

Continuous Glucose Monitoring (CGM) integration

Insulin on board (IOB) feature to minimize hypoglycemia risk

Evidence-based care model tailored to specific chronic conditions

Multi-condition support across pre-diabetes, diabetes, hypertension, heart failure, weight and obesity management, with integrated mental wellbeing and sleep support

Integration with activity trackers, blood glucose meters, pharmacies, labs, and fitness trackers

Data transfer module for insulin dosing data integration

Compatible with connected insulin pen solutions

Aggregates personalized data for actionable insights

Connects with healthcare providers to optimize diabetes care

Supports both prescription and non-prescription features

Provides real-time, personalized coaching

Enables sharing of progress with care teams for added support

Insulin dosing recommendations based on CGM data

Integration with Validic's ecosystem of health devices

Integration with Human API for enhanced data integration capabilities

Dexcom G6 CGM system
Validic's ecosystem of health devices
Human API health data platform
Connected insulin pen solutions
Blood glucose meters
Pharmacies
Labs
Activity and fitness trackers

CE Mark Class IIa medical device under EU-MDR

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

Welldoc
Samsung Ventures
Merck Global Health Innovation Fund
Adage Capital Management
Excel Venture Management
Alexandria Venture Investments
Hudson River Capital Partners

Something I like about Welldoc is that you have quick access to a wide variety of topics and conditions of health and well-being.

I love how it syncs to all devices and multiple EMR services making it seamlessly easy to manage all my data and my patients.

3.5 out of 5 stars on G2
5.0 out of 5 stars on G2
4.9 out of 5 stars on G2
4.0 out of 5 stars on G2
4.5 out of 5 stars on G2
3.9 out of 5 stars on G2
3.8 out of 5 stars on G2
4.2 out of 5 stars on G2


Summary: MIMOSA Pro is a handheld imaging device that enables non-invasive assessment of tissue health by capturing tissue oximetry, temperature, and digital images, facilitating early detection and monitoring of conditions like diabetic foot ulcers and surgical wounds.

MIMOSA Pro is a portable, non-contact device that utilizes near-infrared and infrared light to measure tissue oxygenation and temperature, providing clinicians with real-time, actionable insights to enhance patient care and outcomes. The device is FDA-cleared and Health Canada approved, ensuring its safety and efficacy in various clinical settings.

Wound Care
Diabetic Foot Ulcers
Surgical Wounds
Peripheral Vascular Disease
Burns
Pediatrics

Multispectral imaging for tissue oximetry and temperature detection

Remote monitoring of tissue health parameters

Non-contact near-infrared (NIR) reflectance-based technology

Cloud-based platform for secure data storage and access

Standardized tissue health assessment across various care settings

Integration with existing clinical workflows

Risk assessment capabilities for patient profiling

Real-time data transmission from point-of-injury to cloud

Enhanced care coordination through shared patient information

Mobile application for patient monitoring

Clinical Decision Support Systems (CDSS)

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

Linux server instances via Docker, virtual cloud instances

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971

FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971
ISO 27001
SOC 2
HIPAA
GDPR
HITECH

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewall protection
Management VLANs
HTTPS access
Minimal external APIs

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Secure data transmission
Access control lists (ACLs)
Data encryption at rest
Data encryption in transit
User authentication mechanisms


Summary: Sight OLO is a compact, AI-driven hematology analyzer that delivers lab-grade Complete Blood Count (CBC) results within minutes from just two drops of blood, enhancing diagnostic efficiency and patient care.

Sight OLO is a desktop hematology platform designed for point-of-care and near-patient settings. It utilizes single-use test kits to create and stain blood smears within disposable test cartridges. The device employs an automated fluorescence microscope to capture over 1,000 multispectral micrographs per sample, which are analyzed using onboard computer algorithms to produce 19 CBC parameters and several flags. The results are displayed on a touchscreen interface and can be transmitted digitally to laboratory information management systems (LIMS) or electronic medical records (EMR) systems. The device measures 32 cm by 28 cm by 25 cm and houses no reagents; reagents are contained within each test kit, obviating the need for regular instrument washouts. Sight OLO is factory calibrated and requires no regular calibration. Its Failsafe system ensures appropriate performance by mitigating user errors, consumable defects, and blood sample irregularities. The device accepts both venous and fingerprick blood samples, with the fingerprick workflow requiring just two drops totaling 27 μl. Each single-use test kit contains a test cartridge, two capillaries for sample collection, and a reagent-filled mixing-bottle. The test cartridge contains two separate sample chambers: a hemoglobin chamber and an imaging chamber. Sight OLO is FDA 510(k) cleared for use in moderate complexity laboratories in the U.S. and CE Marked according to the IVD European directive for point-of-care settings. It has been approved by the Australian TGA for point-of-care settings. The device has been deployed in various healthcare facilities, including the globally renowned Sheba Medical Center at Tel Hashomer, Israel, and Oxford University Hospitals NHS Foundation Trust in the UK. Sight Diagnostics has raised over $124 million in funding to support the expansion of Sight OLO's commercial operations and advance its R&D into the detection of additional diseases and biomarkers indicating COVID-19 severity. The company has offices in the UK, the U.S., and Israel.

clinicians
nurses
patients
admins
laboratory technicians
healthcare providers
medical researchers
pathologists
hematologists
medical technologists

Hematology
General Medicine
Pediatrics
Oncology
Infectious Diseases
Emergency Medicine
Internal Medicine
Cardiology
Nephrology
Pulmonology
Gastroenterology
Rheumatology
Endocrinology
Neurology
Dermatology
Obstetrics And Gynecology
Orthopedics
Urology
Psychiatry
Ophthalmology

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

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

5-part differential complete blood count (CBC)

Fingerstick and venous blood sample processing

No maintenance or manual quality control required

Suitable for patients aged three months and above

Clinical evidence supporting performance

Regulatory approvals in over 35 countries

64.4-86°F operating temperature; 64.4-78.8°F test kit storage temperature


Summary: RTHawk Research is an AI-driven MRI software platform that enables rapid development and deployment of custom imaging applications, integrating seamlessly with clinical workflows.

RTHawk Research provides researchers with tools to design pulse sequences, implement advanced reconstructions, and integrate third-party devices and deep learning algorithms, all within a unified protocol and user-friendly interface. It includes SpinBench™, a graphical design tool for creating complex MRI sequences, and supports real-time data processing with advanced reconstruction capabilities. The platform also offers integrated MRI simulation to test new applications without utilizing actual MRI scanner time.

clinicians
researchers
MRI technologists
radiologists
medical physicists

Cardiology
Neurology
Musculoskeletal
Oncology
Pediatrics
Orthopedics
Vascular
Spine
Abdominal
Thoracic
Gastroenterology
Urology
Gynecology
Pulmonology
Rheumatology
Infectious Disease
Immunology
Endocrinology
Hematology
Dermatology

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

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

Graphical pulse sequence design with SpinBench™

Advanced reconstruction engine supporting NUFFT, parallel imaging, deblurring, and machine learning algorithms

Integrated MRI simulation for application testing

Real-time feedback during research scans

Unified protocol for integrating research scans with clinical workflow

Deep learning algorithm integration
Third-party device integration
Multinuclear imaging support

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

FDA 510(k) Premarket Notification K212233

FDA 510(k) Premarket Notification K153740

FDA 510(k) Premarket Notification K183274

FDA 510(k) Premarket Notification K133848

FDA 510(k) Premarket Notification K142997

Data encryption at rest and in transit
Role-based access control
Audit logs
Two-factor authentication

Business Associate Agreement available
Data anonymization
Data minimization


Summary: Merge PACS is a cloud-based medical imaging solution designed to enhance radiology workflows and improve patient care through advanced imaging capabilities.

Merge PACS offers a comprehensive suite of tools for medical imaging, including enterprise imaging, advanced worklists, and workflow tools. It integrates seamlessly with other Merge Healthcare solutions, such as Merge VNA and Merge Universal Viewer, to provide a unified imaging platform. The system is designed to optimize radiology workflows, improve diagnostic accuracy, and enhance patient outcomes. It supports various imaging modalities and is scalable to meet the needs of healthcare organizations of different sizes.

radiologists
clinicians
healthcare administrators

Radiology
Cardiology
Oncology
Orthopedics
Neurology
Pediatrics
Pulmonology
Gastroenterology
Urology
Obstetrics
Gynecology
Emergency Medicine
Vascular Surgery
Plastic Surgery
Dermatology
Ent
Ophthalmology
Pathology
Dentistry
Sports Medicine

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

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

Vendor Neutral Archive (VNA) Integration

Merge Universal Viewer
Merge Workflow Orchestrator
Merge Cardio
Merge Hemo
Merge DICOM Toolkit
Merge Consulting Services
Merge Fusion RIS
Merge Fusion Billing
Merge iConnect Enterprise Archive
Merge iConnect Access
Epic
Cerner
PACS
Billing Systems
EHR Systems
VNA Systems
DICOM Devices
HL7 Interfaces
RIS Systems
Teleradiology Services

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

Windows Server, Linux Server, 64-bit Processor, 8 GB RAM, 100 GB Storage

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
IDS/IPS
Firewall
VPN
Endpoint Security

BAA available
Consent Management
Anonymization
Data Minimization
Data Masking
Access Controls
Data Segmentation
Data Retention Policies
Data Disposal Policies
Data Breach Notification

CentraCare Health System's St. Cloud Hospital

Merge's user interface is pretty good. I find it annoying that you can effectively only have one comparison study open at once. Also, it seems to be buggy with random crashes, though that could be site-specific.

I would not buy Merge PACS again. The vendor is locking themselves into a model that makes things difficult for us.

We have used Merge PACS for years, and it works, but the vendor from years ago is not the vendor of today.

I love Merge PACS' flexibility and its ability for us to work with and integrate with things through its open architecture.


Summary: The e-View FP-MP Interventional Endoscopy System by Omega Medical Imaging is a flat-panel imaging system designed for gastrointestinal procedures, featuring a 30cm x 30cm flat panel detector and advanced radiation protection.

The e-View FP-MP Interventional Endoscopy System is a specialized imaging solution developed by Omega Medical Imaging for gastrointestinal procedures. It boasts a 30cm x 30cm flat panel detector, an expanded diameter 'C' arm for larger orbital projections, and an elevating monitor suspension for optimal fluoroscopy and scope viewing. Additionally, the system includes a lead-shielded table and flat-panel detector to significantly reduce scatter radiation exposure to operators and staff. The system was installed at the University of Colorado Hospital, facilitated by Core Medical Imaging of Kenmore, WA.

clinicians
radiologists
gastroenterologists
medical staff

AI image-guided Region of Interest (ROI) modality

Pulsed fluoroscopy for decreased patient dose

Configurable multi-input video manager options

C-arm and table controlled from a single panel

Cradle roll motion for duct filling and draining

Pivots ±90 degrees for full patient access

Digital Subtraction Angiography (DSA) functionality

PACS
DICOM-compliant image management system

High-frequency generator, high-speed X-ray tube, 14-inch image intensifier, 1024 x 1024 12-bit digital CCD camera

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

Lead shielding protection
Pulsed fluoroscopy for reduced exposure
360-degree lead shielding protection

It sort of does what it's supposed to do.

This EHR platform provides for all areas of our practice.

I have been an admin of the system for about 10 months and I do not like the platform.

It is very customizable and is very adapted to the needs of any radiology service or diagnostic imaging.

It's straightforward to use and user-friendly.

I like how easy it is to navigate and I appreciate how user friendly Carestream as a whole is.

I consider it a very stable platform with a high degree of scalability.

It's hard to find anything not to like about Carestream, other than the upfront cost to purchase/install.

I found that moving it around the clinic was a breeze.

I had no major issues with any products we used.

Carestream Health
GE Healthcare
Philips Healthcare
Siemens Healthineers
Canon Medical Systems
Fujifilm Medical Systems
Agfa HealthCare
Konica Minolta Healthcare
Hologic
Samsung Medison
Hitachi Medical Systems
Eizo Corporation
Barco
NVIDIA
Intel
Microsoft
Oracle
IBM
Dell Technologies
HP Inc.


Summary: The Rothman Index is a predictive analytics platform that quantifies patient deterioration in real-time, enabling clinicians to proactively manage patient care and improve outcomes.

The Rothman Index, developed by PeraHealth, is a predictive analytics platform that synthesizes electronic medical record data to generate a single score reflecting a patient's condition over time. This score aids clinicians in early detection of patient deterioration, facilitating timely interventions and optimized care decisions. The platform is FDA-cleared and has been proven to reduce mortality, length of stay, and readmissions across various healthcare settings.

Clinicians
Nurses
Physicians
Healthcare Administrators

General Medicine
Critical Care
Emergency Medicine
Cardiology
Pulmonology
Infectious Diseases
Nephrology
Neurology
Orthopedics
Surgery
Obstetrics And Gynecology
Pediatrics
Geriatrics
Oncology
Hematology
Endocrinology
Rheumatology
Gastroenterology
Hepatology
Urology

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

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
Australia
New Zealand
Japan
South Korea

Predictive analytics
Real-time patient condition monitoring
Clinical decision support
Patient deterioration alerts
Risk assessment
Data visualization dashboards
Clinical workflow integration
Patient acuity scoring
Outcome prediction
Clinical informatics

Rothman Index Trend
Rothman Index Pediatrics
SafeNSound Care Coordination

Picture Archiving and Communication Systems (PACS)

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27018
ISO 9001
ISO 13485
FDA 21 CFR Part 820
FDA 21 CFR Part 11
FDA 510(k)
CE Marking
ONC Health IT Certification
ISO 14971
ISO 27035
ISO 27032
ISO 27033
ISO 27034
ISO 27036
ISO 27037

Security information and event management (SIEM)

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Data masking
Data tokenization
Access controls
Data retention policies
Data destruction policies
Privacy impact assessments (PIA)


Summary: BrainScope One is a handheld, FDA-cleared device that uses EEG-based technology to rapidly and objectively assess brain injuries, including concussions and brain bleeds, at the point of care.

BrainScope One is a non-invasive, portable device designed to assist healthcare professionals in the rapid assessment of traumatic brain injuries (TBI), including concussions and brain bleeds. Utilizing electroencephalogram (EEG) technology, it provides objective data to aid in clinical decision-making, potentially reducing unnecessary head CT scans and associated radiation exposure. The device is intended for use in emergency departments, urgent care clinics, and other healthcare settings for patients aged 18 to 85 years within three days of a head injury. It is not a replacement for CT scans but serves as a decision support tool to guide further evaluation. BrainScope One has received multiple FDA clearances and is backed by an extensive intellectual property portfolio. The company has partnered with the U.S. Department of Defense for the development of its TBI assessment technology, and the device is currently being utilized by the U.S. military both domestically and internationally. Additionally, BrainScope One is used in various market segments, including urgent care and occupational health clinics, concussion clinics, hospital emergency rooms, university sports and student health centers, professional sports, and pharmaceutical clinical trials.

Clinicians Nurses Patients Admins Payers

Emergency Medicine
Neurology
Sports Medicine
Orthopedics
Pediatrics
Geriatrics
Trauma Surgery
Rehabilitation Medicine
Neurosurgery
Physical Medicine And Rehabilitation
Family Medicine
Internal Medicine

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

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

Non-invasive and pain-free for patients aged 18-85 within 3 days post-injury

Measures brain electrical activity and neurocognitive function

Provides objective data panels for clinical diagnosis

Integrates advanced digital signal processing and sophisticated algorithms

Utilizes miniaturized hardware and disposable headset sensors

Potential to reduce unnecessary head CT scans by one-third

Potential to reduce head injury referrals to emergency departments by up to 75%

Potential to reduce healthcare costs for payers and patients by over 30%

Supports integration into existing urgent care clinic workflows

Enhances operational efficiencies in urgent care settings

Offers new economic opportunities for urgent care centers

Backed by the U.S. Department of Defense for TBI assessment technology development

Recipient of the GE-NFL Head Health Challenge I award

Recipient of the Frost & Sullivan Best Practices Award in Traumatic Brain Injury Assessment Solutions Market

Nominated for the Prix Galien Best Medical Technology award

Emergency Department Information Systems (EDIS)

iOS 10+, Android 5.0+, Windows 10+, macOS 10.12+, Linux kernel 4.4+

FDA 510(k)
ISO 13485:2003
CE Mark
ONC Health IT Certification
ISO 27001

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

Business Associate Agreement (BAA) available


Summary: Myo Plus is Ottobock's advanced pattern recognition system that enables intuitive control of myoelectric prostheses by translating natural muscle signals into prosthetic movements, enhancing user confidence and reducing cognitive load.

Myo Plus is a pattern recognition system developed by Ottobock for myoelectric prostheses, designed to provide users with intuitive control by mapping unique muscle patterns to prosthetic movements. It offers direct, seamless access to grip patterns without external inputs, and allows users to define muscle signals for precise control over speed, grip strength, and finger movement. The system is compatible with various Ottobock prosthetic hands, including the bebionic hand, SensorHand Speed, and VariPlus Speed. The Myo Plus app serves as the central interface, enabling users and prosthetists to configure and adapt the prosthesis to individual needs. As of April 1, 2025, the Centers for Medicare & Medicaid Services (CMS) approved the addition of L6700, a dedicated reimbursement code for pattern recognition control systems used in myoelectric prostheses, marking a significant advancement in upper limb prosthetic technology.

Clinicians
Prosthetists
Patients
Orthotists
Rehabilitation Specialists

Orthotics
Prosthetics
Rehabilitation
Upper Limb Amputation
Assistive Technology
Myoelectric Prosthetics
Pattern Recognition
Digital Health
Medical Devices
Mobile Applications

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

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

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

Pattern recognition system for intuitive prosthesis control

Direct mapping of muscle signals to prosthetic movements

Instantaneous grip pattern switching without external inputs

Enhanced proportional control over speed, grip strength, and finger movement

Real-time visualization of muscle activity via spiderplot

Personal activity tracker (Myo Connect) for monitoring usage data

In-app step-by-step guides for user training

Bluetooth connectivity for wireless configuration and updates

Compatibility with Ottobock's bebionic hand and MyoBock system

Reduced standby power consumption by 23% (from 21mA to 12mA)

Hot plug-in support for connecting or changing terminal devices without powering off

Analog mode for compatibility with non-Ottobock devices, limited to basic functions

Myo Connect web portal for remote monitoring

connectgrip app for myoelectric arm and hand prostheses adjustment

bebionic hand
MyoBock system
System Electric Hand DMC plus
SensorHand Speed
MyoHand VariPlus Speed
System Electric Greifer DMC VariPlus
Ottobock bebionic Hand

iOS 12.0 or later
Android 6.0 or later
Bluetooth 4.0 or later

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

Data anonymization
User consent management
Data minimization
Secure data storage


Summary: D2P is a software solution by 3D Systems that enables clinicians to create patient-specific 3D anatomical models from medical imaging data, facilitating surgical planning and patient education.

D2P (DICOM-to-PRINT) is a modular software developed by 3D Systems, designed to convert medical imaging data into accurate, digital 3D anatomical models. It utilizes deep learning-driven automatic segmentation tools to streamline the creation of patient-specific models, which can be used for preoperative surgical planning, patient education, and device design. The software supports various imaging modalities, including CT, MR, and CBCT, and integrates with 3D Systems' printers to produce diagnostic-quality models. D2P also features virtual reality visualization capabilities, allowing for enhanced 3D visualization and model control. The software has received FDA 510(k) clearance for its intended use in creating diagnostic-quality models. ([investor.3dsystems.com](https://investor.3dsystems.com/news/news-details/2019/3D-Systems-Draws-on-Healthcare-Expertise-to-Deliver-FDA-Cleared-D2P--Industrys-Only-Company-to-Create-Patient-Specific-Diagnostic-Anatomic-Models-Using-its-Own-Software-and-Printers/default.aspx?utm_source=openai))

Clinicians
Surgeons
Radiologists
Lab Technicians
Device Designers

Cardiovascular Craniofacial Gastrointestinal Genitourinary Neurological Musculoskeletal

United States
Europe
Asia
Australia
Canada
South America
Africa

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

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

Automatic segmentation algorithms driven by deep learning

Advanced virtual reality (VR) visualization

Supports various imaging modalities (CT, MR, CBCT)

Intuitive editing tools including auto model coloration

Instant transfer of 3D files to various applications such as 3D printers and VR

Enhanced 3D visualization and complete freedom of model control in VR

Supports various 3D file formats and 3D printers

3D Sprint
Geomagic
Haptics
Sprint
3DXpert

BAA available
Consent management
Anonymization
Data minimization

The best part of D2P is its segmentation offerings. I mean it's not the best in market but you get pretty good features like automatic segmentation of various models. Apart from segmentation cost has to be the major plus point. It's clearance for use as medical device just add to the benefits. It is easy to use and supports commonly used medical data from CT, MRI, CBCT (DICOM).

The best part of the software is its Deep Learning technology for automatic segmentation of DICOM, CT. CBCT files. we can get very precise values of bone density and soft tissue. DICOM images can be viewed easily instantly in VR without doing segmentation. it's amazing real-time 3D rendering. It is very easy to use no technical expertise is required, we can automatically export .iges files no need to purchase separate modules for file export. For craniomaxillofacial segmentation and 3D printing, it is the best software.

The most likely part of this software is its name D2P(Dicom to Print) with easy control of data management, support various 3D file format We can import medical DICOM images into the software that combines all 3D model segmentation and preparation steps into one workstation. This software is a cleared medical device intended for pre-surgical planning and the production of 3D-printed anatomic models for diagnostic purposes. It's very easy to use and very helpful in image segmentation and .STL export also, you can visualize, analyze, quantify and export data for 3D print. and it supports various images from MRI, CT, CBCT.

3.5 out of 5 on G2
3.0 out of 5 on Indeed


Summary: Biovitals Analytics Engine is an AI-powered platform by Biofourmis that analyzes physiological data to predict health events, enabling proactive patient care.

Biovitals Analytics Engine is a machine-learning and AI-driven platform that processes real-time physiological data, such as heart rate, respiratory rate, and activity, to build individualized biometric signatures. It computes a Biovitals Index to alert healthcare providers to changes in patients' vital signs, potentially weeks before adverse events occur, facilitating early intervention and improved patient outcomes. The platform is FDA-cleared for ambulatory physiological monitoring and is integrated into Biofourmis' digital therapeutics ecosystem, supporting chronic condition management and clinical research.

Clinicians
Patients
Researchers
Pharmaceutical Companies
Payers

Cardiology
Pulmonology
Oncology
Neurology
Endocrinology
Rheumatology
Geriatrics
Pediatrics
Obstetrics
Gynecology
Orthopedics
Gastroenterology
Hematology
Infectious Diseases
Nephrology
Urology
Dermatology
Ophthalmology
Psychiatry
Emergency Medicine

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

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

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

Cloud-based configurable care-delivery platform

Cellular-enabled continuous and episodic device integrations

FDA-cleared AI-enabled analytics for digital biomarkers

In-home services coordination (diagnostics, DME, medications, transport, tech support)

User-facing dashboard and communication interface for patients and providers

Remote patient management and monitoring

Pre-built and disease-specific care pathways (70+)

Programs for Hospital-at-Home, SNF-at-Home, Timely Discharge

Hospital-at-Home program
SNF-at-Home program
Transitional/Timely Discharge program
Remote Patient Management programs
Disease-specific care pathway packages

Device/sensor ecosystem (cellular-enabled devices, medical-grade sensors)

HIPAA
GDPR
CCPA/CPRA
ISO 27001
SOC 2 Type II

Encryption in transit and at rest
Role-based access controls
Audit logging
Two-factor authentication (2FA)

PHI handling under HIPAA Notice of Privacy Practices

GDPR representative and EU data subject rights support

Cloud-hosted with servers in multiple jurisdictions; multi-region/cloud options


Summary: aBSI is an AI-driven software solution that quantitatively assesses bone scans to evaluate skeletal disease burden in prostate cancer patients.

aBSI utilizes artificial intelligence to automate the detection of hotspots and calculate the Bone Scan Index (BSI), providing accurate, quantitative, and reproducible assessments of bone scans. It has been validated in a multi-institutional phase 3 study involving 721 metastatic prostate cancer patients, demonstrating its prognostic value for overall survival. aBSI is available for integration with GE Healthcare and Siemens Healthineers platforms and can also be installed locally as EXINI bone.

clinicians
radiologists
oncologists
medical researchers

Automated Bone Scan Index calculation
Real-time BSI value updates
Integration with GE Healthcare
Integration with Siemens Healthineers
Accurate assessments
Quantitative assessments
Reproducible assessments