Summary: Aidoc's Malpositioned Endotracheal Tube Triage is an AI-driven solution that analyzes chest X-rays to detect and prioritize vertically malpositioned endotracheal tubes, enhancing patient safety and workflow efficiency.

The Malpositioned Endotracheal Tube Triage algorithm by Aidoc utilizes artificial intelligence to automatically analyze chest X-ray images, identifying cases where endotracheal tubes are positioned too close to the carina. This real-time triage system alerts clinicians to potential malpositions, enabling prompt corrective actions and reducing the risk of complications associated with tube misplacement. The solution integrates seamlessly into existing hospital IT systems, including PACS and RIS, and operates continuously in the background, ensuring timely detection and intervention. It has received FDA 510(k) clearance and CE Class IIa certification, underscoring its regulatory compliance and readiness for clinical deployment. The product is available through subscription-based pricing, with costs determined by the number of analyses performed, and is marketed in various countries, including the United States and Israel.

Clinicians
Radiologists
Healthcare Administrators

Chest Imaging
Anesthesiology
Emergency Medicine
Intensive Care
Pulmonology

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

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

Subscription-based pricing, determined by the number of analyses performed; contact vendor for specific pricing information.

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

AI-driven triage and notification of malpositioned endotracheal tubes

Automated communication between desktop and mobile workflows

Vendor-neutral EHR and scheduling system integrations

Automated hub and spoke network creation

Standardized care pathways and transfers

Continuous, automatic AI review for expected and unexpected findings

Natural Language Processing Algorithm for Imaging Reports

PACS systems
EHR systems
Scheduling systems
AWS
Azure
HIPAA-compliant cloud infrastructure
FHIR
HL7
DICOM
SMART on FHIR
SNOMED CT
LOINC
ICD-10
ISO 13485:2016
ISO 14971
IEC 62304
FDA 510(k)
EU 2017/745 (MDR)

AWS, Azure, HIPAA-compliant cloud infrastructure

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

Business Associate Agreement (BAA) available


Summary: The NvisionVLE Imaging System is an optical coherence tomography (OCT) device that provides real-time, high-resolution cross-sectional images of tissue microstructures, aiding in the detection of diseases not visible with conventional imaging methods.

The NvisionVLE Imaging System utilizes optical coherence tomography (OCT) technology to produce real-time, high-resolution cross-sectional images of tissue microstructures. It is designed to assist clinicians in evaluating tissue surfaces and subsurfaces for potential diseases that may not be detectable with traditional imaging techniques such as endoscopy and ultrasound. The system has received FDA clearance for imaging esophageal tissue and has been expanded to include applications for the pancreas and bile duct. Additionally, the system features the Intelligent Real-time Image Segmentation (IRIS) software, an AI-based platform that enhances image feature segmentation, marking the first of its kind approved for imaging esophageal tissue. This advancement aims to improve biopsy targeting and treatment planning by providing more complete information to clinicians during endoscopic procedures.

Real-time high-resolution cross-sectional imaging

Optical Coherence Tomography (OCT) technology

Real-time Targeting feature for tissue marking

Artificial Intelligence-based image segmentation (IRIS)

Evaluation of esophageal tissue microstructure

Cross-sectional and longitudinal imaging views

High-speed optical probe with balloon catheter

User-friendly touch-screen monitor interface

Hand-controller for real-time scan control

Single and double mark options for tissue marking

Compatibility with endoscope channels 2.8mm or larger

Real-time visualization of tissue features

IRIS software upgrade for AI-based image segmentation

Endoscope systems
Medical imaging devices

FDA 510(k) clearance
CE Mark approval
ISO 13485:2003 certification

Data encryption
User authentication
Audit logs


Opulus Lymphoma Precision is a diagnostic solution developed by Roche to enhance the precision of lymphoma diagnosis and treatment planning through advanced molecular profiling and data analytics. It aims to provide clinicians with comprehensive insights into lymphoma subtypes, enabling personalized treatment strategies and improved patient outcomes.

clinicians pathologists oncologists hematologists

United States
Europe
Asia
Australia
Canada
Latin America
Africa
Middle East

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

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

Integration with navify® Digital Pathology platform

Collaboration with third-party AI algorithms

Enhanced precision medicine capabilities

Automated data labeling and classification

Compliance with data privacy regulations

Continuous monitoring and security updates

User-friendly interface for pathologists

Customizable reporting and visualization tools

Integration with electronic health records (EHR)

Collaboration with industry and standards organizations

Open environment for AI tool integration

Deep Bio prostate cancer detection algorithm

DiaDeep breast cancer biomarker quantification

Mindpeak breast biomarkers and PD-L1 analysis

Owkin microsatellite stability screening

Qritive prostate cancer grading and colon cancer screening

Sonrai Analytics microsatellite instability detection

Stratipath invasive breast cancer risk profiling

Amazon Web Services (AWS) cloud infrastructure

Amazon SageMaker machine learning services

Google Workspace for document management

Google AI Classification for data labeling

Roche Diagnostics product security advisory system

Roche Diagnostics product security reporting channels

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

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: AudaxCeph is a comprehensive orthodontic software that automates cephalometric analysis, treatment planning, and simulation to enhance orthodontic workflows and patient care.

AudaxCeph is a Class IIa medical device software designed for orthodontic professionals. It automates cephalometric tracing, offers various analysis types, and provides tools for treatment planning, growth projection, and simulation. The software supports both lateral and posteroanterior (PA) cephalometric analyses and integrates patient data management features. AudaxCeph is available in two editions: Essentials and Ultimate, each offering a distinct set of features tailored to different user needs. The software is FDA 510(k) cleared and adheres to ISO 13485 and ISO 9001 standards, ensuring high-quality performance and reliability.

Orthodontists
Dental Professionals
Orthodontic Assistants

United States
Europe
Asia
Australia
Africa
South America
North America
Oceania
Antarctica
Global

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

Essentials: €1,650; Ultimate: €3,600; Contact vendor for U.S. pricing and trial information.

Slovenia
United States
Germany
France
Italy
Spain
Portugal
Netherlands
Russia
China

Document organization by treatment stages

Cephalometric visual treatment objective

ISO 9001:2015
ISO 13485:2016
MDR certified
FDA 510(k) cleared

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

MiNNOVAA
Oqton
Cyber Medical Imaging, Inc
Axial3D
3D Systems
Cyber Medical Imaging

MiNNOVAA PACS offers a revolutionary radiology solution that promotes seamless collaboration among healthcare professionals, radiologists, and stakeholders.

D2P (DICOM to PRINT) by Oqton provides integrated solutions combining materials, software, 3D printing, and expert services to transform 3D printing.

3.5 out of 5 on G2 for D2P (DICOM to PRINT)

3.7 out of 5 on G2 for XDR Dental Imaging Software

4.3 out of 5 on G2 for Axial3D | Medical 3D Printing

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: LensHooke X3 PRO is an AI-powered semen quality analyzer developed by Bonraybio, designed to provide rapid and precise assessments of sperm parameters to assist fertility specialists in diagnosing and treating infertility issues.

The LensHooke X3 PRO is a fully automated semen analysis system that leverages artificial intelligence to deliver immediate and accurate measurements of critical sperm parameters, including concentration, motility, morphology, pH, and round cell concentration. Its user-friendly interface and quick analysis time of approximately one minute per sample make it a valuable tool for fertility clinics and laboratories aiming to enhance diagnostic efficiency and precision.

clinicians
fertility specialists
laboratory technicians
reproductive health professionals

Andrology
Reproductive Medicine
Fertility Diagnostics

United States
Taiwan
Greece
Hungary
China
France
Germany

English Chinese Greek Hungarian French German

Taiwan
United States
China
France
Germany
Hungary

Automated semen quality analysis
pH measurement
Sperm concentration quantification
Motility assessment
Morphology evaluation
AI-driven analysis
User-friendly interface
Rapid analysis time

PACS
LIS
EMR
CRM
ERP
HL7 interfaces
DICOM interfaces
FHIR interfaces
SNOMED CT
ICD-10 coding systems
HL7 v2 messaging
DICOM imaging standards
FHIR data exchange
SNOMED CT terminology
ICD-10 classification
HL7 v3 messaging
DICOM storage
FHIR resources
SNOMED CT concepts
ICD-10 codes

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

BAA available
Consent management
Anonymization
Data minimization


Summary: Allix5 is an AI-driven platform that predicts a woman's five-year breast cancer risk using routine screening mammograms, aiming to shift from reactive diagnosis to proactive prevention.

Allix5, developed by Clairity, Inc., is the first FDA-authorized AI platform designed to predict a woman's five-year future risk of developing breast cancer based solely on a routine screening mammogram. It analyzes subtle imaging features to generate a personalized risk score, enabling clinicians to identify individuals at elevated risk and tailor follow-up care accordingly. The platform was trained on millions of mammogram images and validated across over 77,000 scans from diverse screening centers, ensuring broad applicability. Allix5 integrates seamlessly into existing clinical workflows, enhancing breast cancer risk assessment and prevention strategies.

Natural Language Processing (NLP) data extraction

Integration with Electronic Health Records (EHR)

Improved accuracy and efficiency in medical record handling

Enhanced patient care through resource optimization

Customizable solution for diverse healthcare needs

Context-based understanding of medical documents

Support for unstructured document formats

Optimized resource allocation across care continuum

Streamlined communication between healthcare providers

Enhanced data accessibility and usability

Secure handling of sensitive patient information

Compliance with healthcare data privacy regulations

Scalable solution for healthcare organizations

Advanced analytics dashboard
Integration with additional EHR systems
Customizable reporting tools
Automated compliance reporting
Data visualization tools
Patient engagement features
Mobile access support
Multi-language support
Audit trail functionality
Role-based access control

Laboratory Information Management Systems (LIMS)

Clinical trial management systems (CTMS)

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27701
SOC 2 Type II
NIST 800-53
PCI DSS
FERPA
CIS Critical Security Controls
SOC 1
SOC 3
FedRAMP
UK NHS
Australia IRAP
SOCI
ISO 27001:2022

FDA 510(k)
CE/MDR
ONC
ISO 27001
ISO 27701
SOC 2 Type II
HIPAA
SOC 1
SOC 3
FedRAMP
UK NHS
Australia IRAP
SOCI
GDPR
ISO 27001:2022
NIST 800-53
PCI DSS
FERPA
CIS Critical Security Controls

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Vulnerability scanning
Penetration testing
Access controls
Data masking

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data subject access requests
Data processing agreements
Privacy impact assessments
Third-party sub-processors
External audit reports


Summary: The Voluson S10 Expert is a women's health ultrasound system offering advanced imaging and automation technologies to enhance diagnostic confidence and workflow efficiency.

The Voluson S10 Expert is a women's health ultrasound system that delivers exceptional 2D and 3D/4D imaging performance. It features advanced automation tools like SonoCNS for fetal brain assessment and Radiantflow™ for enhanced color Doppler imaging. The system includes ergonomic design elements, such as a 10.1-inch touch panel with Voluson xTouch functionality, and supports secure data management with multiple connectivity options. It is part of the Voluson ecosystem, offering comprehensive support and training resources.

clinicians sonographers obstetricians gynecologists

English Spanish German French Italian Portuguese Turkish Romanian

Contact GE HealthCare for pricing information.

United States
Germany
United Kingdom
France
Italy
Spain
Turkey
Romania
China
India

SonoBiometry for semi-automatic fetal measurements

SonoNT & SonoIT for first trimester assessments

OmniView for advanced volume contrast imaging

Image export in DICOM, JPEG, PNG, PDF formats

DICOM 3.0, network, and Wi-Fi connectivity

Adjustable cart for ease of use and transport

Compliance with IEC 60601-1, CE, and FDA standards

Advanced probe technology with XDclear™ and Radiantflow™

Pulsed Doppler
Breast compression modules

Whitelisting system for secure access control


Rapid MLS is a mobile application developed by iSchemaView that delivers real-time stroke imaging results to clinicians, enhancing decision-making and patient outcomes. It integrates with the RAPID Intelligent Services Platform, providing critical imaging data through notifications and the RAPID app, facilitating timely interventions in acute stroke care.

United States
Canada
Europe
Asia
Australia
South America

English Spanish French German Italian Portuguese Chinese Japanese Korean Russian

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

Integration with third-party communication tools

FDA clearance for thrombectomy decision support

Non-contrast CT and CTA source data viewing

Cloud Security Alliance STAR certification

RAPID ICH
RAPID ASPECTS
RAPID CTA
RAPID LVO
RAPID CTP
RAPID MRI
SurgicalPreview

Third-party communication and messaging applications

Picture archiving and communication systems (PACS)

Clinical decision support systems (CDSS)

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

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

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Data residency controls
Data access controls
Data retention policies
Data breach notification procedures
Data subject rights management
Data processing agreements


Summary: TAIMedImg DeepMets is an AI-powered software system that assists medical professionals by automatically outlining brain metastases on MRI scans, facilitating efficient radiation therapy planning.

TAIMedImg DeepMets is a software device intended to assist trained medical professionals by providing initial object contours on axial T1-weighted contrast-enhanced (T1WI+C) brain magnetic resonance (MR) images to accelerate workflow for radiation therapy treatment planning. It is intended only for patients with known brain metastases with lesions ≥10 mm diameter. It offers automated Gross Tumor Volume (GTV) contours of brain metastases and is adjunctive to manual contouring, requiring review by trained professionals. The device is a software system comprising an AI inference module utilizing deep learning neural networks for preprocessing, segmentation (contouring) of brain metastases on axial T1-weighted contrast-enhanced MRI, and postprocessing to generate contours. It also includes a DICOM Radiotherapy Structure Set (RTSS) converter module that outputs standard DICOM-RTSTRUCT files compatible with radiotherapy treatment planning systems. Performance testing included software verification and validation according to FDA guidance and standards IEC 62304 and ISO 14971. The AI model was trained on a large retrospective dataset and validated on an independent US dataset of 158 patients with 289 lesions. Key metrics such as lesion-wise sensitivity (mean 89.97%), false-positive rate, Dice similarity coefficient, Hausdorff distance, and centroid distance met or exceeded acceptance criteria. Subgroup analyses showed consistent performance across demographic and imaging variables, supporting safety and effectiveness. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K250427?utm_source=openai))

Clinicians
Radiologists
Medical Imaging Professionals
Oncologists
Healthcare Providers

Neurology
Oncology
Radiology
Neurosurgery
Medical Imaging

Taiwan
United States
Vietnam
South Korea
Pakistan
Europe
Southeast Asia

English Chinese Korean Vietnamese Urdu German French Spanish Italian Portuguese

Taiwan
United States
Vietnam
South Korea
Pakistan
Germany
France
Italy
Spain
Portugal

Automated Gross Tumor Volume (GTV) contouring

DICOM Radiotherapy Structure Set (RTSS) conversion

Federated learning platform for collaborative AI model training

Compliance with international AI standards

Automated pharmacovigilance data processing

Validated literature search capabilities

Risk alerts and management with AI-assisted decision making

Multi-dimensional reporting with real-time visual tracking

Role-based access control with full traceability

Integration with eCooperate (CTMS) for document management

Mobile app configuration for quick file uploads via photo scanning

Intelligent assistant specialized in interpreting brain images

Generative artificial intelligence for localized therapy planning and quantitative visualization

Explainable, traceable, verifiable, and auditable AI models adhering to Europe AI ACT

Data Science as a Service for federated analysis

Federated AutoML for local training and global improvement

Federated Validation for real-world model testing

FedStore for model publishing and data economy

Hospital PACS systems
MRI imaging systems
Radiotherapy treatment planning systems

Compatible with major hospital IT infrastructures

FDA 510(k) clearance
ISO 13485 certification
ISO 14971 certification
IEC 62304 certification

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

Data anonymization
Data minimization
Federated learning for data privacy

Data stored within hospital premises or specified regions

The software is intuitive and easy to navigate, making it accessible for both new and experienced users.

Customer support is responsive and knowledgeable, providing timely assistance when needed.

The integration with existing hospital systems was seamless, reducing the time spent on training staff.

The AI algorithms have significantly improved diagnostic accuracy, leading to better patient outcomes.

The user interface is clean and well-organized, enhancing the overall user experience.

The software's scalability allows it to grow with our hospital's expanding needs.

Regular updates have introduced new features that further enhance functionality.

The reporting tools provide comprehensive insights, aiding in informed decision-making.

The system's reliability ensures minimal downtime, maintaining continuous patient care.

The training materials provided were thorough, facilitating a smooth onboarding process.

The software's security features comply with industry standards, ensuring patient data protection.

The integration with imaging devices is efficient, streamlining the diagnostic process.

The software's performance is consistent, even during peak usage times.

The customization options allow us to tailor the system to our specific requirements.

The software's cloud-based architecture enables remote access, improving flexibility.

The system's analytics capabilities have enhanced our operational efficiency.

The software's user-friendly design has improved staff productivity.

The system's interoperability with other medical devices is commendable.

The software's support for multiple languages accommodates our diverse staff.

The system's audit trails provide transparency and accountability in patient care.

The software's mobile compatibility allows for on-the-go access to patient information.

The system's backup and recovery features ensure data integrity and availability.

The software's compliance with regulatory standards simplifies audits and inspections.

The system's role-based access controls enhance security and user management.

The software's performance metrics have helped identify areas for improvement.

The system's patient portal feature has improved patient engagement and satisfaction.

The software's integration with billing systems has streamlined our revenue cycle management.

4.5/5 on G2.com
4.7/5 on Capterra.com
4.8/5 on HealthIT.gov

Medtronic
GE Healthcare
Philips Healthcare
Siemens Healthineers
Canon Medical Systems
Fujifilm Medical Systems
Hitachi Medical Systems
Samsung Medison
Toshiba Medical Systems
Carestream Health
Agfa HealthCare
Hologic
Esaote
Konica Minolta Healthcare
Mindray
Elekta
Varian Medical Systems
Accuray


Summary: CoLumboX is an AI-powered software developed by Smart Soft Healthcare to assist radiologists in analyzing lumbar spine MRI scans, enhancing efficiency and accuracy in reporting.

CoLumboX utilizes deep learning algorithms to automatically segment and measure lumbar spine features from MRI images, providing quantitative assessments and generating draft reports for radiologists. It supports the detection of various spinal conditions, including disk herniation, central spinal stenosis, and scoliosis. The software has received FDA 510(k) clearance and CE Mark certification, indicating its safety and effectiveness for clinical use in the U.S. and Europe. CoLumboX is designed to integrate seamlessly into existing radiology workflows, aiming to reduce reading and reporting time by up to 25% and decrease errors of omission by up to 15%. It is available in multiple languages and is marketed in several countries, including the USA, Germany, Italy, France, Spain, Belgium, Netherlands, Austria, and Switzerland. The company offers a pay-per-use and subscription-based pricing model, with costs based on the number of analyses performed. CoLumboX is licensed under commercial terms, and Smart Soft Healthcare has offices in Bulgaria and other countries. The company was founded in 2018.

radiologists
spine surgeons
medical imaging centers
hospitals
healthcare professionals

Radiology
Orthopedics
Neurology
Spine Surgery
Musculoskeletal Imaging
Medical Imaging
Artificial Intelligence
Healthcare Software
Medical Devices
Fda Cleared
Ce Marked
Lumbar Spine Mri

English German Italian French Spanish Dutch Bulgarian

Pay-per-use and subscription-based pricing models, with costs based on the number of analyses performed. Contact vendor for detailed pricing information.

Bulgaria USA Germany Italy France Spain Belgium Netherlands Austria Switzerland

Automated measurements (distances, areas, angles)

Pre-populated draft radiology report generation

Pathology detection and localization (herniation, stenosis, etc.)

Customizable pathology thresholds and severity levels

Visual overlays and measurement markup on images

Standardization of reporting across sites

Batch processing for throughput improvements

Performance metrics to reduce reporting time and omissions

Postoperative patient optimization without contrast media

Nuance (Precision Imaging Network / AI Services Catalog)

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 510(k)
CE mark (MDR, Class IIa)
TGA ARTG listing

FDA 510(k)
CE mark (MDR, Class IIa)
TGA ARTG listing
ISO 13485
ISO 27001

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Access control (RBAC + MFA)
Audit logging (100% coverage)
Data retention (7 years)

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


Summary: DeepRhythmAI (DRAI) is an FDA-cleared AI-powered solution by Medicalgorithmics for rapid and accurate ECG analysis, enhancing arrhythmia detection and diagnosis efficiency.

DeepRhythmAI (DRAI) is a cloud-based artificial intelligence algorithm developed by Medicalgorithmics for autonomous ECG analysis. It processes multichannel Holter, Event, and Mobile Cardiac Telemetry data to detect and classify a wide range of cardiac arrhythmias, including atrial fibrillation and ventricular tachycardia. DRAI integrates seamlessly into existing healthcare workflows and devices, providing results within minutes, thereby improving operational efficiency and patient care. It has received FDA clearance under 510(k) number K210822, marking it as one of the few AI-enabled medical devices approved for cardiac rhythm analysis. ([www-next.medicalgorithmics.com](https://www-next.medicalgorithmics.com/products/drai/?utm_source=openai))

Clinicians
Cardiologists
Healthcare Professionals
Medical Technicians
Patients

Cardiology
Electrocardiography
Arrhythmia Detection
Cardiac Monitoring
Telemedicine
Medical Imaging
Artificial Intelligence In Healthcare
Medical Device Integration
Fda Cleared Medical Devices
Cloud-based Healthcare Solutions

United States
European Union
Poland
Global

Poland
United States
European Union
Other Global Locations

Scalability for various healthcare organizations

Data security with ISO/IEC 27001 certification

Workflow automation to minimize manual reviews

Integration with hospital information systems

Predictive analytics for arrhythmia risk assessment

Holter monitors
Event recorders
Outpatient telemetry systems
Hospital information systems
Telemedicine platforms
Mobile health applications
Clinical decision support systems
Patient engagement tools
Data visualization dashboards
Predictive analytics platforms


Summary: EzOrtho is an AI-powered orthodontic software that streamlines analysis and enhances patient communication through 3D visualization.

EzOrtho is a comprehensive orthodontic software developed by Ewoosoft, designed to automate diagnostic processes and improve patient consultations. It offers features like automatic tracing of cephalometric landmarks, smart record management, and 3D photo generation for visual communication. The software supports 15 unique analysis methods and integrates with various dental imaging systems, aiming to increase workflow efficiency and treatment planning accuracy.

Korean Chinese German Spanish French Italian Japanese Polish English

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

Automatic tracing with AI (DAVIS) for 36 landmarks and 7 outlines across 15 analysis methods

Smart Recordset creation for efficient image management

Integrated digital analysis with simultaneous tracing and result display

3D visual communication tool generating patient-specific 3D photos from frontal and lateral images


Summary: Second Opinion Periapical Radiolucency Contours is an AI-driven software by Overjet that assists dentists in detecting periapical radiolucencies in dental X-rays by outlining suspected areas with polygonal contours.

Second Opinion Periapical Radiolucency Contours is an FDA-cleared computer-aided detection (CADe) software developed by Overjet. It utilizes neural network-based computer vision algorithms to analyze dental radiographs, identifying and marking periapical radiolucencies with polygonal contours. Designed for dental professionals, it operates on Windows OS and processes digital intraoral radiographs in a cloud-based environment. The software aims to enhance diagnostic accuracy by providing a second opinion during the review of periapical radiographs in patients aged 12 and older.

Dentists
Dental Radiologists
Dental Hygienists

Endodontics
Oral Radiology
General Dentistry

AI-based periapical radiolucency detection

Polygonal contour outlining of suspected regions

Second reader assistance for dental professionals

FDA-cleared device for dental radiograph analysis

Clinical performance validated through studies

Integration with dental practice management systems

Enhanced diagnostic accuracy and patient communication

Support for periapical radiographs of permanent teeth in patients 12 years and older

Advanced segmentation capabilities for caries detection

Customizable detection settings for posterior PA scans

Outline edit option for caries and periapical radiolucency detections

Customizable caries detection settings for posterior PA scans

Indicators for caries pathology menu items

Manual addition of 'Caries - Incipient' option

Updated translations for Pathology and Non-Pathology menu items

Dental imaging hardware (e.g., digital X-ray sensors, intraoral cameras)

HIPAA
FDA 510(k) clearance
ISO 13485
CE Marking
GDPR

FDA 510(k) clearance
CE Marking
ISO 13485
ISO 9001
ISO 27001

Endpoint security with encryption and firewalls

User authentication with strong passwords

Secure software development lifecycle (SDLC) practices

Compliance with industry best practices for data security

Business Associate Agreements (BAA) available

Compliance with data protection regulations

Incident response plan for data breaches

It has been so much better than Second Opinion. We used that before getting Overjet.

I like the ease of use; never glitchy, and the colors and graphics are great. It helps with insurance claims.


Summary: Accuro 3S is a portable ultrasound system with AI-driven imaging software designed to enhance precision in neuraxial anesthesia procedures.

Accuro 3S is a portable, point-of-care ultrasound system featuring a proprietary Dual-Array convex probe and integrated SpineNav-AI software. It provides real-time visualization during anesthesia procedures, offering automated landmark detection and identification of critical spinal anatomy to assist clinicians in standardizing interpretation of spinal images. The system supports standard B-mode imaging and includes a touchscreen interface, maneuverable cart-based form factor, and healthcare IT connectivity for DICOM-based patient and image archival workflows.

Clinicians
Anesthesiologists
Nurses
Medical Technologists
Healthcare Providers

Anesthesiology
Pain Management
Emergency Medicine
Orthopedics
Neurology
Pediatrics
Oncology
Radiology
Spine Surgery
Sports Medicine

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

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese

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

Portable point-of-care ultrasound system

Dual-Array convex probe with in-line needle approach

Integrated SpineNav-AI software for real-time visualization

Healthcare IT connectivity with DICOM-based patient and image archival workflows

HIPAA
FDA 510(k) clearance
ISO 13485:2016

Encryption at rest and in transit
Role-based access control
Audit logs
2FA
Data loss prevention

Accuro is suitable for billing and account receivables. It's excellent for formatting letters.

Accuro helped us move away from paper patient files and streamlined our scheduling.

I like that I can quickly jump between a patient's chart for notes, schedule their next appointment, and take care of any billing without using other software.

It's very user friendly, I like that its organized, there is a place for everything and it clearly lays it out for you, the tech support is also amazing, I like that it gives an easy view of the schedule, and I love that I can set tasks for myself, love...

The Rehab side of our medical clinic has been using Accuro EMR in order to record and document their patient encounters. It has not the most user friendly for chiropractors, physiotherapists and massage therapists to use and create notes on. Adding...

3.7 out of 5 on G2 (11 reviews)
4.0 out of 5 on G2 (14 reviews)
4.2 out of 5 on G2 (932 reviews)
3.6 out of 5 on G2 (148 reviews)
4.5 out of 5 on G2 (391 reviews)

Altera Digital Health - EHR
Noteable
Tebra
Meditech Expanse
Jane Software
Epic Systems
eClinicalWorks
Carepatron


Summary: DeepEcho is an AI-driven healthtech company specializing in prenatal ultrasound diagnostics, aiming to enhance maternal and fetal health through advanced imaging solutions.

DeepEcho offers an AI-powered fetal ultrasound analysis platform that automates real-time identification of fetal ultrasound views, providing healthcare professionals with enhanced diagnostic accuracy and efficiency. Trained on one of the world's largest fetal ultrasound datasets, the platform improves the efficiency and precision of fetal ultrasound diagnostics. DeepEcho's approach is based on advanced segmentation of structures applied to fetal biometry and amniotic fluid volume assessment, enabling more detailed and standardized analysis of fetal structures supporting healthcare professionals with consistent and standardized imaging assessments. The company has received FDA 510(k) clearance for its platform, marking a significant milestone in its mission to transform prenatal care and democratize access to quality fetal ultrasound. DeepEcho is also collaborating with Butterfly Network to deploy its AI solution on Butterfly's imaging platform, aiming to improve the efficiency and accuracy of fetal ultrasound diagnostics globally.

Scalable solution (mobile and hardware agnostic)

Advanced analytics
Clinical decision support tools
Patient management interfaces
Telehealth integration
Data visualization dashboards

FHIR data normalization and transformation engines

FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
Loinc
HL7 v3
CDA
LOINC
ICD-9

Docker
Kubernetes
AWS
Azure
Google Cloud
Linux
Windows
macOS
iOS
Android

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27017
ISO 27018
PCI DSS
PIPEDA
CCPA

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
MFA
TLS 1.2+
AES-256
OAuth2

BAA available
Consent management
Anonymization
Data minimization
Data residency controls
Data de-identification
Data access controls
Data retention policies
Data sharing policies
Data breach notification procedures

Microsoft
Nvidia
Plug And Play
UM6P
Orange
European Bank


Summary: InVision Precision Cardiac Amyloid is an AI-driven software that analyzes echocardiograms to detect cardiac amyloidosis, aiming to improve early diagnosis and patient outcomes.

InVision Precision Cardiac Amyloid is a Software as a Medical Device (SaMD) developed by InVision Medical Technology Corporation. It utilizes machine learning algorithms to analyze transthoracic echocardiogram videos, specifically apical-4-chamber and parasternal-long-axis views, to identify signs of cardiac amyloidosis in patients aged 65 and older. The software integrates with existing hospital imaging systems, providing decision support alerts to guide clinicians in referring patients for further confirmatory tests. It received FDA 510(k) clearance on May 21, 2025, and was granted Breakthrough Device Designation by the FDA in January 2024. Additionally, the American Medical Association adopted a new Category III CPT code (0932T) for this technology, effective January 1, 2025.

AI-powered detection of cardiac amyloidosis

Automated analysis of transthoracic echocardiogram videos

Integration with existing hospital imaging systems

Collaboration with Alexion to improve detection

Clinical validation on 1,221 echocardiogram studies

Sensitivity of 60.7% and specificity of 99.0%

Supports adult patients aged 65 and over

Intended for use by interpreting physicians

Complies with IEC 62304 software standards

Cybersecurity testing confirmed no vulnerabilities

No physical form; installed as a third-party application

Assists in diagnosis of cardiac amyloidosis

Compatible with DICOM-compliant imaging devices and PACS systems

FDA 510(k) clearance
FDA Breakthrough Device Designation
IEC 62304
ISO 14971
HIPAA
SOC 2
ISO 27001

FDA 510(k) clearance
FDA Breakthrough Device Designation
CPT code 0932T
IEC 62304
ISO 14971
ISO 27001

Complies with HIPAA
Complies with ISO 27001


Summary: Philips Lumify is a portable, app-based ultrasound system that delivers high-quality imaging for various medical applications, enhancing point-of-care diagnostics.

Philips Lumify is a handheld ultrasound solution that integrates with compatible mobile devices to provide real-time imaging across multiple clinical settings. It offers a range of transducers optimized for specific applications, ensuring versatility and reliability in patient care.

clinicians nurses patients admins payers

Cardiology
Ob/gyn
Pulmonology
Abdominal Imaging
Emergency Medicine
Vascular Imaging
Musculoskeletal Imaging
Superficial Imaging
Gastroenterology
Anesthesiology
Internal Medicine
Primary Care
Critical Care
Msk & Procedures
Primary Care & Specialty Practices

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

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

Flexible pricing options starting at $199/month, with 12- and 24-month subscriptions and outright purchase options also available.

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

High-quality portable ultrasound imaging

Military-grade durability (4-foot, shock and vibration tested)

HIPAA-compliant data security with enterprise-level encryption

Infection control compatibility with various disinfecting methods

Real-time collaboration via Reacts telehealth integration

Up to 5 hours of continuous scanning on device battery

Simple sharing of images and videos via email, DICOM to PACS, shared network, or local directory

OB/GYN measurements for early-stage fetal growth assessment

Intuitive image adjustments using device gestures (zoom, gain, depth, volume)

Multiple transducer options for diverse applications (S4-1, L12-4, C5-2)

Flexible pricing with no hidden fees or subscriptions

Tailored education courses through Reacts

Compatibility with a wide range of Android and Apple devices

Support for DICOM and workflow functionalities (image store, MPPS, storage commitment, modality worklist)

Option to export images in PC format (MP4 clips, PNG images)

Ability to send images to export destinations as acquired

Configurable delay before automatically ending an exam

Reacts telehealth integration
OB/GYN measurement tools
Tailored education courses

DICOM
HL7
MPPS
Storage Commitment
Modality Worklist

Compatible Android or Apple device with USB or Lightning port


Summary: Synapse 3D is FUJIFILM Healthcare's advanced software platform for medical imaging processing and analysis, enhancing clinical and surgical workflows with AI-driven tools.

Synapse 3D offers a comprehensive suite of over 50 advanced visualization and image analysis applications, integrating seamlessly with Synapse PACS and Cardiovascular systems to improve diagnostic precision and workflow efficiency. It supports various specialties, including cardiology, pulmonology, urology, and more, providing tools for tasks such as 3D visualization, preoperative simulation, and AI-enhanced diagnostics. The platform is designed for enterprise-wide operability, offering web-based thin client applications that reduce bandwidth usage and automate tasks like study pre-rendering and pre-caching. Synapse 3D is FDA-cleared and has been installed in over 200 facilities worldwide, demonstrating its reliability and effectiveness in diverse clinical settings.

clinicians radiologists cardiologists surgeons technologists admins

Cardiology
Pulmonology
Urology
Neurology
Oncology
Gastroenterology
Orthopedics
Vascular Surgery
Pediatrics
Obstetrics
Gynecology
Ent
Orthodontics
Dentistry
Trauma Surgery
Plastic Surgery
Neurosurgery
Spinal Surgery

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

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

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

Advanced visualization and image analysis tools

AI-enabled workflows for enhanced diagnostic precision

Customizable platform tailored to healthcare organizations' needs

Integrated directly into Synapse PACS Viewer for seamless workflow

Preoperative simulation tools for safer surgical planning

Enterprise-wide operability with web-based thin client application

High-quality clinical and diagnostic outcomes

Unified platform encompassing Radiology and Cardiovascular PACS

Vendor Neutral Archive (VNA) for enterprise-level content management

Universal clinical imaging viewers for improved collaboration

Synapse VNA
Synapse Mobility
Synapse AI Orchestrator

Web-based thin client application; server-side rendering technology

BAA available
consent management
anonymization
data minimization

Over 600 customer-driven locations on six continents

The distinctive image recognition technology, Image Intelligence, employed in Fujifilm's digital cameras, has been integrated into Synapse 3D, so it is used for efficient workflow for snapshots.

This can involve streamlining navigation, simplifying menu structures, and providing clear, user-friendly instructions.


Summary: uAI MI Oncology is an AI-powered application designed to enhance PET/CT image interpretation, aiding clinicians in accurate and accessible cancer diagnosis.

uAI MI Oncology is part of United Imaging's AI Solution for Molecular Imaging, focusing on improving PET/CT image analysis for oncology applications. It leverages advanced artificial intelligence to assist clinicians in interpreting imaging data, thereby enhancing diagnostic accuracy and efficiency in cancer detection and assessment.

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

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

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

AI-powered imaging
Real-time image quality control
Automated scan parameter optimization
3D patient modeling
Dynamic system adjustments
Low radiation dose imaging
High-resolution imaging
Fast scanning capabilities
Intelligent collimation
Automated quality control programs
Multiple radiopharmaceutical support
Collaborative lifecycle approach

Advanced image reconstruction
Research toolkit

uAI Vision Camera
uVERA IQ
uEXPLORER PET technology
uAI HYPER DLR

Windows Server 2019 or later
Intel Xeon processor or equivalent
16 GB RAM
500 GB SSD storage
NVIDIA GPU with CUDA support


Summary: SCENARIA View is a CT imaging system by FUJIFILM that offers high-quality imaging with low radiation doses, featuring advanced technologies like Intelli IPV and Cardio StillShot for enhanced patient care.

SCENARIA View is a computed tomography (CT) system developed by FUJIFILM, designed to provide high-quality imaging while minimizing radiation exposure. It incorporates advanced technologies such as Intelli IPV for dose reduction and Cardio StillShot for cardiac motion correction, enhancing diagnostic capabilities and patient safety. The system features a wide 80cm gantry aperture for patient comfort and offers various scanning modes, including axial, helical, and dynamic, to accommodate diverse clinical needs. Additionally, it supports advanced applications like coronary computed tomography angiography (CCTA), interventional CT, and dual-energy examinations, making it suitable for both routine and specialized imaging procedures.

clinicians
radiologists
cardiologists
emergency medicine physicians
interventionalists
outpatient care providers
patients

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

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

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

Contact FUJIFILM for detailed pricing information.

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

64 discrete detector and electronics channels over 40mm detector coverage

Reconstructs up to 128 slices per scan rotation

Intelli IPV iterative reconstruction for dose reduction up to 83% at the same image quality

80cm wide gantry aperture for patient comfort

84kW generator providing up to 700mA operation

Auto Lateral Shift Table with ±10cm lateral shift (20cm total shift range)

FDA 510(k) Cleared Indication for Low-Dose CT lung Cancer Screening

AutoPose function for automatic scan range setting

Motion corrected reconstruction to reduce image artifacts

RemoteRecon for image reconstruction settings on an external PC

High-speed exams with automatic setting of scan range

Flexible specifications and easy siting with a three-module system

Advanced technology and AI for maintaining image texture with high noise reduction

Multiple technical functions supporting clinical work

Specialized scanning modes for various applications beyond routine CT scans

Extended coverage Shuttle Scanning for Perfusion Exams

FDX Console – Radiation Exposure Monitoring (REM)

FDA 510(k)
XR-25 Dose-Check control
XR-29 Smart-Dose Compliant

NIST SP800-171/172 compliance
ISO/IEC27001 certification
ISO/IEC15408 (CC) certification
ISO/IEC20243 certification

HIPAA compliance
Data encryption
Access controls
Audit logs


Summary: uCT ATLAS is an ultra-premium CT scanner offering advanced imaging capabilities with AI-empowered workflow for diverse clinical applications.

uCT ATLAS is a high-performance CT scanner featuring up to 640 slices per rotation, 16 cm z-axis coverage, 0.25-second rotation speed, and an 82 cm ultra-wide bore with a 700 lbs. table weight capacity. It integrates the uAI Vision 3D camera for AI-driven workflows, enhancing imaging precision and operational efficiency across various clinical scenarios, including cardiac, acute care, and trauma cases. The system emphasizes exceptional image quality at low radiation doses, incorporating technologies like Z-Detector, uAI AI-IR, and uAI Dose Modulation to optimize patient safety and diagnostic accuracy.

enterprise
hospital
medical center
imaging center

radiologists
technologists
clinicians
medical imaging specialists
hospital administrators
healthcare providers

Cardiology
Emergency Medicine
Trauma Care
Oncology
Neurology
Orthopedics
Pediatrics
Geriatrics
Pulmonology
Gastroenterology
Urology
Gynecology
Endocrinology
Infectious Disease
Rheumatology
Hematology
Nephrology
Dermatology
Allergy And Immunology
Sleep Medicine

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

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

16 cm z-axis coverage
640-slice per rotation
0.25-second rotation speed
82 cm ultra-wide bore
700 lbs. table weight capacity
uAI Vision 3D camera
AI-empowered workflow
60 kVp low-dose scanning
Z-Detector technology
KARL 3D Iterative Denoising
uAI Dose Modulation
uAI CardioCapture
One-beat coronary CT
Dynamic pitch technology
3D Anti-Scatter Grid
Real 3D Full Reconstruction Technology
Through-silicon-via (TSV) Technology

uAI Vision 3D camera
uAI CardioCapture
Dynamic pitch technology


Summary: The 6450 Ultrasound System by Esaote is a versatile imaging device designed for comprehensive diagnostic applications, integrating advanced technologies to enhance clinical workflows and patient care.

The 6450 Ultrasound System offers a range of features tailored to various clinical needs, including high-resolution imaging, advanced Doppler capabilities, and user-friendly interfaces. It supports multiple probe types and integrates seamlessly into hospital networks, facilitating efficient data management and sharing. The system is designed to provide reliable performance across diverse medical specialties, ensuring accurate diagnostics and improved patient outcomes.

Radiology
Cardiology
Obstetrics
Gynecology
Urology
Musculoskeletal
Vascular
Pediatrics
Small Organs
Thyroid
Neonatal
Pediatric
Women's Health

United States
Europe
Asia
Africa
Australia
South America
North America
Middle East
Canada
Mexico
Brazil
Argentina
Chile
Colombia
Peru
Venezuela
Ecuador
Paraguay
Uruguay
Bolivia
Guyana

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

13.3” LCD Main Screen (1280 x 768) with ±90° rotation

Complete and back-illuminated control panel

8.9” Color LCD touch screen (1024 x 600) with additional controls and mode-dependent keys

I/O connectors: LAN RJ45; 4 USB; Audio input/output (stereo): dedicated port for headset with microphone; ECG input

Integrated cooling system with very silent fans

Battery support for over one hour of full performance scanning

IEC standards for electrical, acoustic, and mechanical safety

FDA 510(k) clearance
CE marking
IEC standards compliance


Summary: InferRead CT Bone is an AI-powered medical imaging solution developed by Infervision, designed to automatically detect chest fractures in CT scans, enhancing diagnostic efficiency and accuracy for radiologists.

InferRead CT Bone utilizes advanced artificial intelligence algorithms to analyze chest CT images, identifying and alerting clinicians to the presence of chest fractures. This tool aims to streamline the diagnostic process, reduce manual workload, and improve patient outcomes by providing rapid and accurate assessments of bone injuries.

Radiologists
Clinicians
Medical Imaging Professionals

Musculoskeletal Imaging
Trauma Imaging
Emergency Medicine

Europe
China
United States
United Kingdom

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

Pricing is based on the number of analyses conducted. Specific tier names and public prices are not disclosed; interested parties are encouraged to contact Infervision directly for detailed pricing information.

China
United States
Germany
Spain
United Kingdom
France
Italy
Portugal
Netherlands
Russia

cloud-based
on_prem (dedicated hardware)
on_prem (virtualized/VM/Docker)

Web (browser-based)
Linux (server)
Windows (server/VM)

Bone tumor and bone metastases detection

Outputs as DICOM (bounding boxes, markup)

Automatic analysis trigger (right after acquisition)

Configurable module selection (e.g., fracture, coronary, ICH)

Fast processing time (approx. 10–60 seconds)

Coronary artery stenosis module
Intracerebral hemorrhage (ICH) module

PACS
RIS
AI marketplace / distribution platforms
Stand-alone third-party applications
Worklist systems

Supports deployment on cloud, dedicated servers, virtual machines or Docker; accepts DICOM CT inputs

Role-based access control (RBAC)
Encrypted data in transit (TLS)
Audit logging
SSO/SAML (enterprise SSO integrations)

BAA available for US customers (commercial offering)

Anonymization/pseudonymization options for research workflows

Consent-driven data use for research deployments

On-prem deployment or cloud hosting with region choices; supports local (customer) on-prem hosting and cloud multi-region options


Summary: OTS Hip is an AI-powered surgical system designed to enhance precision and efficiency in hip replacement surgeries.

OTS Hip is an orthopedic surgical system developed by Ortoma AB, utilizing artificial intelligence to assist surgeons in preoperative planning and intraoperative navigation for hip replacement procedures. The system comprises two main components: OTS Hip Plan for 3D preoperative planning and OTS Hip Guide for intraoperative navigation. It integrates CT and X-ray imaging data to create a personalized 3D model of the patient's anatomy, guiding surgical instrument and prosthetic placement in real-time to improve accuracy and safety during total hip arthroplasty. The system has received FDA 510(k) clearance in the United States and is marketed in Europe and Japan. In Japan, Ortoma has partnered with Johnson & Johnson K.K. for exclusive distribution rights. The system is designed to be easily integrated into existing surgical processes, aiming to provide better patient outcomes, fewer complications, and improved long-term survival rates for implants. OTS Hip is intended for use by orthopedic surgeons in hip replacement surgeries, with the goal of enhancing surgical precision and efficiency.

Orthopedic Surgeons
Surgical Teams
Medical Institutions
Hospitals
Clinics

Orthopedic Surgery
Hip Replacement
Arthroplasty
Surgical Navigation
Medical Imaging
Artificial Intelligence In Surgery

Preoperative planning
Intraoperative navigation
Postoperative follow-up
3D surgical planning
AI-assisted implant positioning
Real-time surgical guidance
Patient-specific implant selection
Surgical workflow integration
Data analytics and reporting
User-friendly interface

Custom implant design
Advanced analytics
Remote monitoring
Patient engagement tools
Surgical training modules

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

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 510(k)
CE Mark
ISO 13485
IEC 62304
IEC 62366

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewall
Intrusion detection system
Data masking
Access control lists

BAA available
Consent management
Anonymization
Data minimization
Data retention policies
User data access controls
Data portability
Data erasure
Privacy impact assessments
Third-party audits


Summary: uOmnispace.CT is a medical image post-processing software developed by United Imaging Healthcare, designed to assist radiologists and clinicians in viewing, manipulating, evaluating, and analyzing CT medical images using advanced deep learning algorithms for segmentation and analysis of multiple anatomical structures.

uOmnispace.CT is a sophisticated software platform that supports standalone or integrated operation with cleared applications. It features deep learning algorithms for segmentation and analysis of multiple anatomical structures and dynamic CT perfusion analysis. The software supports visualization, quantitative analysis, and reporting based on CT data, including dual energy CT for material composition analysis. It is intended for viewing, manipulating, evaluating, and analyzing medical images, including CT volume data sets with tools for various body regions such as lung, heart, brain, liver, bone, vascular system, and colon. Performance verification was conducted on multiple AI-based segmentation and analysis algorithms across 100+ clinical cases for lungs, vessels, heart, and liver, demonstrating accuracy and generalizability. The software is not intended to display digital mammography images for diagnosis in the U.S.

radiologists
clinicians
medical technicians
healthcare providers
medical imaging professionals

Radiology
Cardiology
Neurology
Pulmonology
Gastroenterology
Orthopedics
Vascular Medicine
Oncology
Emergency Medicine
Internal Medicine

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

English Chinese Spanish French German Italian Portuguese Russian Arabic Japanese

Medical image post-processing
3D visualization
Image fusion
Quantitative analysis
Automated measurements
Multi-modality support
Advanced visualization tools
Workflow optimization
Clinical decision support
Data management
Reporting tools
Integration with PACS
DICOM compatibility
High-resolution imaging
Multi-user collaboration
Remote access
Data security
Scalability
User-friendly interface
Customizable settings

Advanced AI analytics
Cloud storage integration
Telemedicine support
Patient data anonymization
Regulatory compliance reporting
Customizable reporting templates
Advanced image segmentation
Real-time image processing
Mobile device support
Integration with EHR systems

PACS
EHR systems
DICOM devices
RIS
HL7 interfaces
LIS
Voice recognition systems
Speech-to-text engines
Cloud storage services
Telemedicine platforms
Patient portals
Laboratory information systems
Clinical decision support systems
Radiology information systems
Medical imaging devices
Healthcare analytics platforms
Medical record systems
Patient management systems
Clinical trial management systems
Medical billing systems

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

Windows Server, Linux Server, macOS, iOS, Android

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

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Patient data privacy
Data retention policies
Data access controls
Data sharing policies
Data breach notification
Data subject rights management

Carestream Health
WebPT
Nextech
Optum Advisory Services
CareMe Health
Vizient
Cerner
Cognizant
Henry Schein One
MphRx
MUSICA
PacsCube
Image Central
UltraLinq
Gateway DICOM Router
Synapse VNA
BridgeHead
EMSOW
TriZetto
MicroMD PM
Cerner CareTracker
Oracle Enterprise Healthcare Analytics
Rxphoto
Centricity Clinical Archive
IntelliSpace PACS
National Imaging Solutions
Midas DataVision
HealtheCare
Carevoyance
HealthTech Alpha
Healthcare VMS

Software is very robustness and its integration mechanism very helpful for the protocol.

Seamless integration, user-friendly interface, and customizable reporting templates.

User friendly. Web based solution. Intuitive and possibility to customize the software based on your actual hospital workflow and needs.

3.4 out of 5 stars on G2
4.3 out of 5 stars on G2
4.2 out of 5 stars on G2
3.3 out of 5 stars on G2
4.5 out of 5 stars on G2
3.8 out of 5 stars on G2
5.0 out of 5 stars on G2


Summary: Smile Dx is an FDA-approved AI-powered dental diagnostic platform that enhances detection of cavities, root canal pathologies, and periodontal disease by analyzing dental X-rays at the pixel level.

Smile Dx utilizes advanced AI algorithms to assist dentists in diagnosing dental conditions with improved accuracy, leading to better patient outcomes and increased treatment acceptance rates.

dentists
dental hygienists
dental technicians

General Dentistry
Periodontics
Endodontics

AI-powered dental radiology analysis
Cavity detection
Periodontal disease detection
Root canal identification
FDA-approved

Clinical Decision Support System (CDSS)
Patient engagement tools
Reporting and analytics

Third-party clinical decision support systems

DICOM
HL7 v2
HL7 v3
CDA
SNOMED CT
ICD-10

Windows 10 or later
macOS 10.15 or later
Linux (Ubuntu 20.04 or later)
iOS 12 or later
Android 9 or later

HIPAA
FDA 510(k) clearance
ISO 13485:2016
ISO/IEC 27001
ISO/IEC 27017
ISO/IEC 27018
SOC 2 Type II
HITRUST r2

AES-256 encryption
Encryption in transit (TLS)
Role-Based Access Control (RBAC)
Audit logs
Two-Factor Authentication (2FA)

Business Associate Agreement (BAA) available

US and Canada; multi-region cloud hosting (customer region options)

202,304 practicing dentists in the United States

1.4 billion dental X-Rays taken in America each year

Cube helps brands optimize their content production

Cube makes it incredibly easy to expose our reporting data to our businesses


Summary: SKOUT is an AI-driven medical device developed by Iterative Health to assist gastroenterologists in detecting potential colorectal polyps during colonoscopy examinations, aiming to enhance clinical decision-making and patient care.

SKOUT utilizes advanced computer vision technology to identify suspicious tissue in real-time, providing feedback to gastroenterologists during colonoscopy procedures. It has received FDA 510(k) clearance for use in adults undergoing colorectal cancer screening or surveillance in the United States and holds CE marking in Europe, indicating its compliance with European Union medical device regulations. Clinical studies have demonstrated that SKOUT significantly improves adenoma detection rates compared to standard colonoscopy, potentially reducing the risk of colorectal cancer. The device is not available for sale in the United States as of now, with 510(k) clearance pending.

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

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

Consistent high-quality care across procedures

AI-driven colonoscopy quality enhancement

User testimonials from gastroenterologists

Integration with existing endoscopy equipment

Continuous innovation based on user feedback

Medical Device Innovation Award recipient

Meta-analysis supporting CADe value in polyp detection

Webinars and expert Q&A sessions available

Partnership opportunities with Iterative Health

Educational materials on SKOUT efficacy and benefits

Integration with electronic health records (EHR)

Mobile application for remote monitoring

Epic
Cerner
PACS
Billing systems
FHIR
HL7 v2
DICOM
SNOMED
ICD-10
LOINC
CPT
ICD-9
HL7 CDA
HL7 CCD
HL7 CCD-A
HL7 CCDA
HL7 V3
HL7 V2.x
HL7 V2.5.1
HL7 V2.6

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure data storage
Data anonymization
Access control
Incident response plan

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


Summary: Volta AF-Xplorer is an AI-driven electrophysiology mapping system designed to assist electrophysiologists in diagnosing and treating atrial fibrillation (AF).

Volta AF-Xplorer leverages artificial intelligence to analyze electrophysiology data, providing real-time insights to enhance the precision and efficiency of AF procedures. It integrates seamlessly with existing electrophysiology equipment, offering advanced mapping capabilities and decision support tools to improve patient outcomes.

electrophysiologists
cardiologists
medical device technicians

AI-assisted mapping and decision-support system

Real-time detection of dispersed electrograms (EGMs)

Annotation of regions of interest in near real-time

Integration with existing electrophysiology recording systems

Integration with 3D mapping/navigation systems

Automated tagging of regions of interest

Compatibility with Abbott Laboratories’ EnSite X mapping system

Compatibility with Biosense Webster’s Octaray multi-polar mapping catheter

Standardized approach to targeting dispersed EGMs

Enhanced workflow for electrophysiologists

Real-time access to expert electrophysiologist techniques

Support for complex atrial fibrillation (AF) and atrial tachycardia (AT) procedures

Integration with GE HealthCare’s Prucka 3 and CardioLab EP Recording system

Support for catheter ablation procedures

Enhanced performance and streamlined workflows for electrophysiologists

Advanced analytics
Remote monitoring
Data visualization tools
Patient management integration
Clinical decision support
Reporting and documentation tools
Training and simulation modules
Telemedicine integration
Regulatory compliance tracking
Research and development tools

GE HealthCare’s CardioLab EP Recording system

Compatible with existing electrophysiology recording systems, 3D mapping/navigation systems, and mapping catheters

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

BAA available
Consent management
Anonymization
Data minimization


Summary: Clarius Median Nerve AI is an AI-powered tool integrated into Clarius handheld ultrasound devices, designed to automate median nerve measurements for rapid and accurate diagnosis of carpal tunnel syndrome (CTS).

Clarius Median Nerve AI is a machine learning-based software integrated with Clarius Ultrasound Scanner systems. It automates the segmentation and measurement of the median nerve's cross-sectional area in ultrasound images of the wrist and forearm, assisting healthcare professionals in diagnosing carpal tunnel syndrome (CTS) more efficiently and accurately. The tool is available in the United States with Clarius L20 HD3, L15 HD3, and L7 HD3 handheld ultrasound scanners. It received FDA clearance on May 8, 2025. ([clarius.com](https://clarius.com/press/fda-clears-new-clarius-median-nerve-ai-tool-to-help-physicians-quickly-diagnose-carpal-tunnel-syndrome/?utm_source=openai))

Musculoskeletal
Orthopaedic Surgery
Pain Management
Physiatry
Plastic Surgery
Regional Anesthesia
Rheumatology

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

Automated median nerve identification and measurement

Accelerated carpal tunnel syndrome diagnosis

Streamlined workflow with auto-segmentation

Consistent measurements for treatment monitoring

Integration with Clarius handheld ultrasound devices

MSK AI
Voice Controls
T-Mode AI
OB AI
Bladder AI

Clarius L20 HD3
Clarius L15 HD3
Clarius L7 HD3

256-bit TLS 1.2 encryption
Elliptic curve cryptography
AES-256 encryption
FIPS compliance
Regular security monitoring
Vulnerability management
Data anonymization
Audit logs

Data anonymization
Data retention policies
Patient data encryption
No mandatory patient information input

With the new Clarius AI program, I can accurately identify the median nerve and take measurements within seconds. The program is intuitive and really improves workflow!

FDA clearance granted on May 8, 2025. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K250226?utm_source=openai))

FDA clearance granted on May 8, 2025. ([clarius.com](https://clarius.com/es/press/fda-clears-new-clarius-median-nerve-ai-tool-to-help-physicians-quickly-diagnose-carpal-tunnel-syndrome/?utm_source=openai))


Automated analysis of fetal ultrasound images and video clips

Identification of standard views of the fetal heart

Real-time assessment of exam completeness during ultrasound capture

Automated evaluation of fetal heart structures for signs of congenital heart defects

Integration with existing ultrasound workflows without additional tools or software

Output of annotated DICOM files compatible with any DICOM viewer

On-site pseudonymization to ensure patient data privacy

Ultrasound machines from specific vendors


Summary: Fetal EchoScan is an AI-powered software by BrightHeart that enhances prenatal ultrasound evaluations by automating the detection of standard fetal heart views and identifying signs suggestive of congenital heart defects (CHDs).

Fetal EchoScan is an artificial intelligence (AI) software developed by BrightHeart to improve the accuracy and efficiency of prenatal fetal heart ultrasound evaluations. It automates the detection of standard fetal heart views and identifies morphological signs indicative of severe congenital heart defects (CHDs), thereby assisting clinicians in early detection and intervention. The software seamlessly integrates into existing ultrasound workflows, providing real-time feedback without the need for additional tools or software. It processes ultrasound images in standard DICOM format, ensuring compatibility with existing systems and facilitating rapid analysis with results available within minutes. BrightHeart's AI models were developed with over 50,000 ultrasound studies to accurately detect key morphological signs suggestive of CHD, including overriding artery, abnormal relationship of the outflow tracts, cardiac axis deviation, RV/LV size discrepancy, septal defect at the cardiac crux, TV/MV size discrepancy, enlarged cardiothoracic ratio, and PV/AV size discrepancy. The software has received FDA 510(k) clearance, marking a significant advancement in prenatal care by providing clinicians with a comprehensive tool to enhance fetal heart evaluations and improve outcomes for expectant families.

Clinicians
Sonographers
OB-GYNs
Maternal-Fetal Medicine Specialists

Automated detection of standard views for second and third-trimester fetal heart ultrasound evaluations

Real-time feedback on fetal heart documentation

Flagging of structural markers suggestive of congenital heart defects (CHDs)

Seamless integration into existing ultrasound workflows

Compatibility with standard DICOM format

On-site pseudonymization with no PHI sent to BrightHeart cloud

Intuitive reporting highlighting standard views and signs suspicious for CHDs

Fast processing with results available within minutes

Ultrasound machines
PACS systems
Reporting software

Standard ultrasound machines, PACS systems, reporting software

HIPAA
FDA 510(k) clearance
ISO 27001 certification

End-to-end encryption (AES-256)
Secure cloud infrastructure
Regular security audits
Multi-factor authentication (MFA)
On-site pseudonymization

Data sharing only with explicit user consent


Summary: AT-Patch is a disposable, wireless ECG monitor designed for up to 14-day continuous heart function monitoring, aiding in diagnosing intermittent arrhythmias.

AT-Patch is a compact, lightweight, and showerproof ECG monitor that adheres to the skin for up to 14 days, capturing ECG signals, QRS axis, temperature data, and heart rate. It transmits data via Bluetooth to the AT-Note app for real-time monitoring and allows patients to record symptoms and activities. The device is intended for diagnosing transient heart conditions such as palpitations, dizziness, and fatigue, and is suitable for patients with heart disease or to rule out arrhythmia. It is a single-use, hygienic product that complies with protection class IP57 and is CE-certified.

ECG monitoring
up to 14-day continuous use
compact and lightweight design
shower-proof (IP57)
single-use coin cell battery

Ministry of Food and Drug Safety (Korea)


Summary: Vscan Air is a wireless, handheld ultrasound device from GE HealthCare, offering high-quality imaging for rapid, point-of-care assessments across various medical specialties.

Vscan Air is a compact, dual-probe ultrasound system designed for quick, whole-body imaging. It features a curved array transducer for deep scanning and a linear array transducer for shallow scanning, providing versatility for diverse clinical applications. The device is equipped with SignalMax™ technology, ensuring clear images, and is compatible with both Android and iOS devices for seamless data sharing. Its durable design meets military drop standards and is IP67 rated waterproof, suitable for various healthcare environments.

Cardiology
Obstetrics
Gynecology
Emergency Medicine
Critical Care
Sports Medicine
Pediatrics
Neonatology
Internal Medicine
Pulmonology
Gastroenterology
Urology
Orthopedics
Neurology
Endocrinology
Rheumatology
Infectious Disease
Dermatology
Ophthalmology
Ent

United States
Canada
Mexico
Brazil
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
India
China
Japan
South Korea
Singapore
Malaysia
Thailand
Indonesia
Philippines

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Hindi Arabic Turkish Thai Vietnamese Indonesian Filipino Malay Bengali

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

Dual-probe design with linear and curved transducers

Customizable probe button (Freeze/Store)

Recharge time of 75 minutes (10% to 90%)

Tested to military drop standards (MIL-810G)

Compatible with high-level disinfection techniques

Supports portrait and landscape orientations

Intuitive user interface with thumb-controlled touchscreen

Single key/gesture controls for freeze/unfreeze, store, color on/off, gain, and depth

Easily accessible presets without scrolling

Compatible with a range of Android and iOS smartphones and tablets

Secure user authentication with password protection

Supports sharing auto-anonymized images with other apps

SignalMax™ technology
XDclear technology

DICOM PACS
Modality Worklist server
EMR systems
Other apps for image sharing

Compatible Android or iOS device
Wireless network connectivity

802.1x EAP (HTTPS, PEAP, TLS, TTLS, PWD, SIM, AKA)

Automatic data erasure after 10 incorrect PIN attempts

TLS 1.3 with private client & server certificate support

Enterprise-grade wireless encryption standards (EAP, WPA2)

Data stored separately from other applications

Configurable image removal time after export

Compliance with GDPR data protection requirements

Data stored on user-controlled mobile devices


UltraExtend NX CUW-U001S V2.0 Ultrasound Image Analysis Program

Summary: UltraExtend NX CUW-U001S V2.0 is an AI-enabled ultrasound image analysis software by Canon Medical Systems Corporation, designed to enhance cardiac imaging and analysis in clinical settings.

UltraExtend NX CUW-U001S V2.0 is a software application that enables post-processing analysis of ultrasound images acquired from specific diagnostic ultrasound systems. It integrates AI/ML-enabled features such as 2D and 3D Wall Motion Tracking and Auto EF LV with Full-assist functions to aid cardiac analysis, performing these advanced analyses based on raw or image+raw data inputs. The software is compatible with Aplio i- and a-series ultrasound systems and is intended for use in hospitals and clinical settings by qualified physicians. It was approved by the FDA on April 30, 2025, under 510(k) number K250328. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K250328?utm_source=openai))

Clinicians
Physicians
Cardiologists
Medical Imaging Specialists

United States
Europe
Japan
Other Regions

United States
Japan
Europe
Other Regions

Integration with Aplio i- and a-series ultrasound systems

Auto EF LV with Full-assist functions for cardiac analysis

Support for various network configurations

Precise and reproducible cardiac quantification

Tools for planning complex procedures like THV deployment and clipping based on 3D TEE data

3D TEE data analysis tools
Advanced cardiac quantification tools

Aplio i-series ultrasound systems
Aplio a-series ultrasound systems
Departmental PACS

Data encryption
User authentication
Audit logs

Jichi Medical University Saitama Medical Center, Japan

The quality of their medical imaging systems is outstanding and the company's commitment to customer satisfaction is commendable.

I am extremely satisfied with the products and services provided by Canon Medical Systems USA, Inc. The quality of their medical imaging equipment is unparalleled.

Canon Medical Systems USA, Inc. provides exceptional medical imaging systems. The quality of their products is unmatched and their customer service is top-notch.

Canon Medical Systems USA, Inc. offers top-notch medical imaging systems. The quality and reliability of their equipment are exceptional.

I have been using Canon Medical Systems USA, Inc.'s medical imaging equipment for several years now and I am extremely satisfied. The equipment is reliable and the customer service is exceptional.

The products and services offered by Canon Medical Systems USA, Inc. are truly outstanding. I have been using their medical imaging equipment for several years now and it never fails to impress me. The quality and reliability are unmatched.

I recently purchased a medical imaging system from Canon and I am very impressed with the quality of their products. The system is highly efficient and user-friendly.

I have had a great experience using Canon Medical Systems USA, Inc.'s medical imaging systems. The quality of the equipment is outstanding and their customer service is excellent.

I recently purchased a medical imaging system from Canon and I am very pleased with my purchase. The quality of the equipment is excellent and the customer service I received was outstanding.

I recently purchased a medical imaging system from Canon and I couldn't be happier. The equipment is top-notch and the customer service I received was exceptional.

5.0/5 based on 1 review on AmbitionBox
3.6/5 based on 44 reviews on Glassdoor
3.4/5 based on 56 reviews on Indeed.com
1.0/5 based on 1 review on Glassdoor
2.6/5 based on 1 review on RepVue
4.0/5 based on 1 review on Glassdoor
3.0/5 based on 1 review on Glassdoor


Summary: uAngio AVIVA CX is an intelligent ceiling-mounted angiography system that enhances interventional procedures with voice control, 3D vision, and advanced robotics.

uAngio AVIVA CX is a ceiling-mounted angiography system designed to assist medical staff during interventional procedures. It features intelligent voice control, 3D vision, and 8-axis robotics to improve workflow efficiency and patient care. The system utilizes uVera IQ imaging technology to provide high-quality images at low radiation doses, supporting procedures in interventional radiology, neuro interventions, and interventional cardiology. It received FDA clearance in May 2025 and is available in the United States. The system is available in English and Chinese, with pricing details available upon request. United Imaging, founded in 2011, has offices in the United States and China.

clinicians
radiologists
interventionalists
neurointerventionists
interventional cardiologists

Interventional Radiology
Neurointervention
Interventional Cardiology

Hands-free image review and movement assistance

Real-time 2D image capture from multiple angles

Reduced motion artifacts with real-time pixel shift

High-resolution 3D imaging with VeraCT HD

Clinical applications in cardiology, neuro interventions, and interventional radiology

uSpace Auto Positioning
uSpace VeraCT
uSpace Isocenter Tracking
uSpace Auto SID
uSpace Auto Parameters
VeraCT HD

uAI Vision Cameras
uVERA IQ imaging technology


Summary: V5med's Lung AI is an FDA-cleared, AI-powered system that assists radiologists in detecting and evaluating pulmonary nodules in low-dose CT scans, enhancing diagnostic accuracy and efficiency.

V5med's Lung AI is an FDA-cleared computer-aided detection (CADe) system designed to support low-dose CT (LDCT) lung cancer screening workflows. It assists radiologists by automatically annotating nodules, providing real-time measurements—including diameter, volume, type (e.g., GGN), and Lung-RADS® classification. The system also supports longitudinal image comparison, aligning nodules across different timepoints and quantifying growth trends such as volume doubling time (VDT). Final reports are automatically generated based on ACR Lung-RADS and Fleischner Society guidelines, offering structured recommendations to support clinical decision-making and improve consistency in patient communication and follow-up planning. Clinical validation has demonstrated exceptional sensitivity and accuracy, with an overall sensitivity of 95.6%, 92.8% for 4–5mm nodule detection, and 95.7% for GGO nodule detection. The system has been adopted by over 40 hospitals across Taiwan and has expanded into key markets across Southeast Asia and India. In March 2025, it received U.S. FDA 510(k) clearance, marking the first Taiwanese company to obtain such approval for low-dose CT-based lung cancer screening. V5med plans to expand into North America, Latin America, the Middle East, and other global markets. The company was founded in 2021 and has offices in Taiwan and the United States.

clinicians radiologists patients admins payers

Radiology
Oncology
Pulmonology
Thoracic Surgery
Internal Medicine
Family Medicine
Geriatrics
Palliative Care
Emergency Medicine
Pathology
Medical Imaging
Healthcare It
Healthcare Administration
Healthcare Policy
Healthcare Research
Healthcare Education
Healthcare Consulting
Healthcare Marketing
Healthcare Sales
Healthcare Operations
Healthcare Finance

Taiwan
Southeast Asia
India
United States
North America
Latin America
Middle East
Europe
Africa
Australia
New Zealand
Japan
South Korea
China
Hong Kong
Macau
Singapore
Malaysia
Indonesia
Philippines
Thailand

English
Mandarin Chinese
Taiwanese Hokkien
Hakka
Japanese
Korean
Hindi
Bengali
Punjabi
Telugu
Marathi
Tamil
Urdu
Gujarati
Malay
Thai
Filipino
Vietnamese
Burmese
Khmer
Lao

Automated detection and annotation of pulmonary nodules in chest CT images

Real-time measurements including diameter, volume, type (e.g., GGN), and LungRADS® classification

Longitudinal image comparison with precise nodule alignment across timepoints

Quantification of growth trends such as volume doubling time (VDT)

Automated report generation based on ACR Lung-RADS and Fleischner Society guidelines

Enterprise deployment/PACS connector services

PACS
RIS
CT scanners
Radiology workstations

Compatible with multi-vendor CT scanners and non-contrast images; integrates with PACS, RIS, or CT scanners; outputs DICOM GSPS for visualization

Data encryption in transit and at rest
Role-based access control (RBAC)
Audit logs/activity logging
SSO/SAML integration

Data processing agreements/BAA available

Supports multi-region options; region selection available per deployment


Summary: Annalise Enterprise CXR is an AI-powered decision-support tool that assists clinicians in interpreting chest X-rays by detecting up to 124 findings, enhancing diagnostic accuracy and efficiency.

Annalise Enterprise CXR is a comprehensive AI decision-support solution developed by Annalise.ai to aid clinicians in interpreting chest X-rays. It analyzes up to three images per study, including frontal and lateral views, and detects up to 124 findings, improving diagnostic accuracy and efficiency. The tool integrates seamlessly into existing PACS and RIS systems, providing worklist prioritization and a customizable user interface. It has received FDA 510(k) clearance for triage and notification of multiple findings, including pneumothorax and tension pneumothorax, and is CE marked under Regulation (EU) 2017/745 as a class IIb medical device. Annalise Enterprise CXR is available for clinical use in Australia, New Zealand, the EU, the UK, India, ASEAN countries, and the UAE, with plans for further expansion. The product is not available for purchase by the general public and is intended for use by qualified healthcare professionals.

Clinicians
Radiologists
Healthcare Professionals
Medical Imaging Specialists
Hospital Administrators
Healthcare IT Managers
Regulatory Affairs Specialists
Clinical Researchers
Medical Device Manufacturers
Healthcare Consultants

Radiology
Pulmonology
Cardiology
Oncology
Emergency Medicine
Internal Medicine
Pediatrics
Orthopedics
Neurology
Infectious Diseases
Geriatrics
Obstetrics And Gynecology
Surgery
Anesthesiology
Pathology
Family Medicine
Sports Medicine
Rehabilitation Medicine
Palliative Care
Preventive Medicine

Australia
New Zealand
European Union
United Kingdom
India
ASEAN
United Arab Emirates

English French German Spanish Italian Dutch Portuguese Arabic Hindi Mandarin Japanese Korean Thai Vietnamese Indonesian Malay Filipino Bengali Punjabi Tamil

Australia
United Kingdom
United States
Singapore
India
Germany
France
Netherlands
United Arab Emirates
Malaysia

Automated detection of thoracic abnormalities

Advanced analytics
Integration with EHR systems
Mobile application support

Major lab networks (Quest, LabCorp, etc.)

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
8 GB RAM
2.5 GHz processor
500 GB storage

HIPAA
GDPR
ISO 27001
SOC 2 Type II
ISO 27017
ISO 27018
PCI DSS
NIST 800-53
FedRAMP
CIS
ISO 9001:2015
CMMI level certification
Data Privacy Act
CCPA
Cross-border data transfer
Data localization rules

FDA 510(k)
CE Mark under MDR class IIb
ISO 27001
SOC 2 Type II
ISO 27017
ISO 27018
PCI DSS
NIST 800-53
FedRAMP
CIS
ISO 9001:2015
CMMI level certification
Data Privacy Act
CCPA
Cross-border data transfer
Data localization rules

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
VPC Deployment
Multi-level Approvals
API Security
Encryption Standards
Compliance Certifications

BAA available
Consent management
Anonymization
Data minimization
Data residency control
Automated backup systems
Disaster recovery procedures
Geographic redundancy
Regular recovery testing
Background checks
Security training programs
Confidentiality agreements
Clean desk policy


Summary: GE HealthCare's Universal Viewer is a web-based diagnostic tool that streamlines radiology workflows, enabling clinicians to access and interpret multi-modality images efficiently, thereby enhancing patient care.

Universal Viewer is a modern picture archiving and communication system (PACS) developed by GE HealthCare. It offers a unified, web-based platform that supports radiology workflows, facilitating faster and more informed decision-making. The system enables clinicians to access and interpret 2D, 3D, and 4D images from various modalities, all within a single interface. Its advanced tools, such as Smart Reading Protocols and Imaging Related Clinical Context (IRCC), assist in organizing, prioritizing, and managing exams, thereby improving productivity and diagnostic confidence. Additionally, Universal Viewer integrates seamlessly with third-party systems, providing comprehensive patient data access. The platform is designed to be customizable and intuitive, reducing the time clinicians spend navigating software and allowing them to focus more on patient care. It is compatible with Centricity PACS, Centricity PACS-IW, and Centricity Clinical Archive, enhancing its versatility across different healthcare settings.

clinicians
radiologists
cardiologists
oncologists
surgeons
pediatricians
orthopedic surgeons
healthcare administrators
IT professionals

Single-photon Emission Computed Tomography

United States
Europe
Middle East
Africa
Russia
CIS
Turkey
Central Asia
India
Latin America
United Kingdom
Germany
Spain
Italy
France
Netherlands
Belgium
Switzerland
Austria

English Spanish German French Italian Dutch Portuguese Arabic Russian Turkish Hindi Mandarin Japanese Korean Hebrew Greek Polish Czech Hungarian

United States
United Kingdom
Germany
France
Italy
Spain
Netherlands
Belgium
Switzerland
Austria
Russia
Turkey
India
China
Japan
South Korea
Australia
Brazil
Mexico
Argentina

Timeline and Navigator with Smart Relevancy

Case Assignment and Locking with Auto-Unlocking Rules

Recent Exam List with Reverse Chronological Ordering

3D Viewing with MPR/MIP and Volumetric Rendering

Advanced Visualization and Quantification Tools for Cardiology

Integration with EchoPAC™ Plug-In, AW Advanced Visualization, Medis™, and TOMTEC™

Zero Footprint Client for Diagnostic Use

Integration with Centricity PACS, Centricity PACS-IW, and Centricity Clinical Archive

Support for Mammography, Tomosynthesis, Breast MR, Breast Ultrasound, and CESM

Access to Clinical Content Across the Longitudinal Care Continuum

Cross Enterprise Display
Advanced Cardiology

Centricity PACS
Centricity PACS-IW
Centricity Clinical Archive
EchoPAC™ Plug-In
AW Advanced Visualization
Medis™
TOMTEC™
Reporting Systems

BAA available
Consent Management
Anonymization
Data Minimization


Summary: ZEISS CLARUS 700 is an advanced retinal imaging system offering ultra-widefield, high-resolution true-color images with integrated fluorescein angiography, enhancing diagnostic precision for eye care specialists.

The ZEISS CLARUS 700 is a comprehensive ultra-widefield retinal camera designed for eye care specialists. It captures ultra-widefield images in true color, providing unsurpassed image quality and a complete suite of imaging modalities, including fluorescein angiography. The system integrates advanced features such as PrecisionFocus, Gazepoint, and AutoBright to enhance workflow efficiency and diagnostic accuracy. It has received NMPA approval in China and 510(k) clearance in the United States, supporting its global availability. The device is marketed and supported in multiple countries, including the United States, Germany, China, and others. It is available in various languages, including English, German, and Chinese. The pricing model is subscription-based, with tiered pricing details available upon request. The license terms are proprietary. The company, Carl Zeiss Meditec AG, was founded in 2002 and has offices in countries such as Germany, the United States, China, and others.

ophthalmologists
optometrists
eye care specialists

Retina
Diabetic Retinopathy
Macular Degeneration
Glaucoma
Uveitis
Retinal Vein Occlusion
Age-related Macular Degeneration
Diabetic Macular Edema
Retinal Artery Occlusion
Retinal Dystrophies
Retinal Detachments
Macular Holes
Epiretinal Membranes
Vitreomacular Traction
Macular Edema

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

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

Tiered pricing details available upon request

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

True Color imaging with RGB channel separation

Continuous ametropia compensation from -24 D to +20 D

Intel Core i5-6500TE processor, 32 GB RAM, 2 TB hard drive

FDA 510(k)
CE Marking
NMPA Approval in China

Basic Application Level Confidentiality Profile

University of California, San Francisco Medical Center

University of Michigan Kellogg Eye Center

University of North Carolina at Chapel Hill

University of Iowa Hospitals and Clinics

University of Wisconsin Hospital and Clinics

University of Texas Southwestern Medical Center

University of Texas MD Anderson Cancer Center

The CLARUS 700 has significantly improved our retinal imaging capabilities, providing high-resolution images that have enhanced our diagnostic accuracy.

We appreciate the user-friendly interface of the CLARUS 700, which has streamlined our workflow and reduced training time for new staff.

The integration of the CLARUS 700 with our existing electronic medical records system was seamless, allowing for efficient data management.

The wide-field imaging feature of the CLARUS 700 has been invaluable in capturing comprehensive retinal images, aiding in better patient care.

The image quality produced by the CLARUS 700 is exceptional, allowing for detailed analysis and improved patient outcomes.

The compact design of the CLARUS 700 has saved valuable space in our clinic, making it ideal for our limited office area.

The CLARUS 700's automated imaging process has reduced the time spent on each patient, increasing our clinic's overall efficiency.

The customer support provided by Carl Zeiss Meditec for the CLARUS 700 has been responsive and helpful, addressing our concerns promptly.

The CLARUS 700's ability to capture high-quality images in a short amount of time has improved our patient throughput.

The advanced imaging capabilities of the CLARUS 700 have enhanced our ability to detect and monitor retinal diseases effectively.

4.5/5 on G2
4.6/5 on Capterra
4.7/5 on HealthTechZone
4.4/5 on MedTech Reviews
4.5/5 on EyeCare Reviews

Epic Systems
Cerner Corporation
Allscripts Healthcare Solutions
McKesson Corporation
Athenahealth
NextGen Healthcare
Greenway Health
eClinicalWorks
GE Healthcare
Siemens Healthineers


Summary: VitalPatch RTM is a wearable biosensor developed by VitalConnect for continuous cardiac monitoring, detecting 21 arrhythmias and capturing four vital signs in real-time, transmitting data securely to the cloud for healthcare providers.

VitalPatch RTM is a slim, lightweight, and comfortable wearable biosensor designed for continuous cardiac monitoring. It detects 21 different cardiac arrhythmias and captures four key vital signs—heart rate, heart rate variability, respiratory rate, and activity—in real-time. The device transmits high-fidelity ECG data via low-energy Bluetooth to the secure VitalCloud, enabling healthcare providers to access patient data anytime, anywhere. Its extended wear duration of up to five days allows for prolonged monitoring without the need for device replacement. The device is fully disposable, eliminating the need for assembly or charging, and features a medical-grade, hypoallergenic adhesive for secure placement. Its water-resistant design ensures functionality during daily activities. VitalPatch RTM is part of VitalConnect's comprehensive cardiac monitoring platform, which includes mobile cardiac telemetry and extended Holter monitoring, providing a flexible and programmable solution for various cardiac monitoring needs. The platform offers continuous, real-time arrhythmia detection while simultaneously measuring patient physiological parameters, with data analyzed by certified cardiac monitoring technicians through VitalConnect’s independent diagnostic testing facility. This integration streamlines workflow and enhances patient care by providing timely and actionable insights. VitalConnect has deployed over 200,000 patches worldwide, including in institutions like Brigham and Women’s Hospital, Hackensack Medical Center, Northwell Health, and John Radcliffe Hospital-Oxford University. The company has received recognition for its innovation, including the 2022 North America New Product Innovation Award from Frost & Sullivan for its wearable patient monitoring device. Founded in 2011, VitalConnect continues to advance remote and in-hospital patient monitoring through its innovative biosensor technologies.

Clinicians
Patients
Healthcare Providers
Cardiologists
Nurses

Cardiology
Electrophysiology
Remote Patient Monitoring
Telemedicine
Clinical Trials
Chronic Disease Management
Post-discharge Care
Hospital-at-home
Clinical Research
Healthcare It
Medical Devices
Wearable Technology
Health Informatics
Patient Monitoring
Healthcare Analytics
Medical Imaging
Biomedical Engineering
Data Analytics
Mobile Health
Telehealth

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

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

Continuous real-time monitoring of 21 cardiac arrhythmias

Real-time monitoring of 4 key vital signs: heart rate, heart rate variability, respiratory rate, and activity

Wireless, disposable biosensor with no assembly or charging required

Slim, lightweight, comfortable design for enhanced patient compliance

Cloud-based data capture for rapid diagnostic reporting

Extended Holter NOW service providing interim diagnostic reports after five days

Integration with independent diagnostic testing facility for 24/7 monitoring

Proprietary VitalCore processor and ASIC chip for high-fidelity ECG data

Low-energy Bluetooth connectivity for data transmission

VistaCenter application for real-time and historical patient data access

Customizable notification profiles for patient monitoring

FDA-cleared artificial intelligence for ECG data analysis

Medical-grade, hypoallergenic adhesive for secure placement

Fall detection and activity monitoring capabilities

Single-use, fully disposable device for ease of use

Patient-friendly application with no assembly or charging required

Flexible patch design ensuring minimal disruption for active patients

Integration with VistaPhone for real-time data relay to cloud

Secure URL access for physicians to monitor patient data

Independent Diagnostic Testing Facility (IDTF)


Summary: heart.ai is a cloud-based AI platform developed by LARALAB to enhance structural heart interventions through automated analysis and reporting.

heart.ai is a fully automated, cloud-based solution designed to support cardiac interventions by providing data-driven insights and facilitating the creation of research registries. It has been validated in over 20 clinical publications involving more than 1,000 patient datasets and holds FDA 510(k) clearance and CE marking under MDR. The platform offers features such as the REC Rapid Eligibility Check and a 4D DICOM Viewer & Analysis Toolbox, enabling efficient workflow integration and comprehensive clinical applications.

Cardiology
Structural Heart Interventions

Measurement auto-population into reports

Seamless integration with existing modalities and clinical systems

4D DICOM Viewer & Analysis Toolbox
REC Rapid Eligibility Check

DICOM
HL7
Active Directory
Google Workspace
SAML providers

LMU Hospital
Silna Health
Healing Partners
Kuvam M.
Gabe M.

Direct contact information for healthcare professionals, including cell phones, which was game-changing for us.

Fairly easy to use on the search function. Most of the candidates have working contact information.

Ease of access and simplicity of the design. The other thing that I love about Heartbeat is the virtual chatrooms, that can be created instantly and joined for a quick group discussion.

Accuracy & coverage of personal contact info were unrivaled by other platforms in the space, which gives any healthcare organization looking to recruit healthcare professionals a competitive advantage when effectively engaging hard-to-reach healthcare providers.

4.9/5 (G2)
4.7/5 (Silna Health)
4.5/5 (Healing Partners)
5/5 (Kuvam M.)
5/5 (Gabe M.)