Summary: uAI Portal is an AI-driven platform developed by United Imaging to enhance medical imaging workflows and preoperative planning through advanced 3D visualization and interactive tools.

uAI Portal integrates artificial intelligence to provide clinicians with advanced 3D preoperative planning applications tailored for thoracic, hepatobiliary, and urological surgeries. It features one-click functionality for diagnostic-level 3D reconstruction of lesions and organs, coupled with a gesture-controlled 3D monitor that enables users to engage with virtual reality and manipulate detailed models via hand gestures, eliminating the need for 3D goggles or helmets. This technology offers clinicians an immersive and intuitive visualization of a patient's preoperative plan and intraoperative anatomy.

clinicians
surgeons
radiologists
medical researchers

Thoracic Surgery
Hepatobiliary Surgery
Urological Surgery

United States
Europe
Asia
Australia
Middle East
Africa
South America
Canada
Mexico
Japan
South Korea
India
China
Brazil
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 Urdu

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

Clinical solutions for neurology, cardiology, chest, and oncology

Integration with existing medical imaging systems

Interoperability with other healthcare systems

Advanced AI analytics
Telemedicine integration
Mobile device management
Cloud storage options
Disaster recovery solutions
Data encryption services
Compliance reporting tools
Customizable dashboards
Patient engagement tools
Clinical trial management

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Electronic health records (EHR)
Radiology information systems (RIS)
Hospital information systems (HIS)
Patient monitoring systems
Medical imaging devices
Laboratory equipment
Pharmacy systems
Scheduling software
Clinical decision support systems
Telemedicine platforms
Mobile health applications
Clinical trial management systems
Patient engagement platforms
Health information exchanges (HIE)

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

Windows Server, Linux Server, SQL Server, Oracle Database, VMware, Hyper-V, 16 GB RAM, 500 GB HDD, 1 Gbps Network

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

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


Summary: TRAQinform IQ is a cloud-based software tool that provides quantitative analysis of lesions in PET/CT scans, aiding clinicians in monitoring disease progression and treatment response in oncology and nuclear medicine.

TRAQinform IQ is a cloud-based software tool developed by AIQ Global, Inc. It utilizes machine learning for anatomical and skeletal segmentation, automates matching and quantitative assessment of regions of interest (ROIs) between multiple PET/CT scans, and generates detailed reports on lesion volume and tracer uptake changes over time. This supports clinicians in oncology and nuclear medicine to monitor disease progression and treatment response. The device has been FDA-cleared for clinical use in various cancer types, including lung, prostate, bladder, head and neck, neuroendocrine system, lymphoma, and melanoma. It operates in a secure cloud environment with web browser access, ensuring scalability and ease of use. The software is designed to integrate seamlessly into existing clinical workflows, providing real-time analysis and reporting to assist in clinical decision-making. It has been validated in multiple clinical trials and is cleared for clinical use in both the US FDA and Australian TGA. The company aims for its technology to become a standard of care and is working towards securing insurance and Medicare reimbursement. For pharmaceutical clients, the technology is used in early-stage studies to better understand drug effects, toxicity risks, and mechanisms of resistance.

oncologists
radiologists
nuclear medicine specialists
medical imaging technologists
dosimetrists
physicists

Oncology
Radiology
Nuclear Medicine
Medical Imaging
Oncology Analytics
Cancer Treatment Response
Precision Medicine
Health-tech
Medical Device
Imaging Biomarkers
Radiation Oncology
Lesion Detection
Disease Progression
Personalized Medicine
Oncology Software
Fda Cleared Medical Software
Clinical Decision Support
Pet/ct Scan Analysis
Metastatic Cancer
Tumor Heterogeneity
Quantitative Imaging

Clinical decision support
Patient monitoring
Data analytics
Interoperability
Patient engagement
Telemedicine
Electronic health records (EHR)
Medical imaging
Laboratory information management
Pharmacy management
Supply chain management
Billing and coding
Appointment scheduling
Patient portal
Clinical workflow management
Population health management
Regulatory compliance
Reporting and analytics
Data security
User management

Advanced analytics
Mobile health applications
Clinical trial management
Patient education tools
Remote patient monitoring
Telehealth integration
Artificial intelligence (AI) tools
Predictive analytics
Clinical decision support enhancements
Data visualization tools

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Supply chain management systems
Appointment scheduling systems
Patient portal systems
Clinical workflow management systems
Population health management systems
Regulatory compliance tools
Reporting and analytics tools
Data security tools
User management systems
FHIR
HL7 v2
DICOM
SNOMED
ICD-10

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

BAA available
Consent management
Anonymization
Data minimization


Summary: Velacur is a point-of-care ultrasound device developed by Sonic Incytes, designed to non-invasively assess liver stiffness and fat content, aiding in the management of chronic liver diseases such as MASLD and MASH.

Velacur is an AI-guided 3D S-WAVE ultrasound elastography device that measures liver stiffness, attenuation, and Velacur Determined Fat Fraction (VDFF). It provides real-time, non-invasive assessments of liver health, enabling healthcare providers to monitor and manage chronic liver diseases effectively. The device features AI guidance for liver localization and wave quality detection, enhancing measurement accuracy. Velacur is portable, with a single probe suitable for a range of body types (BMI of 25 to 45) and does not require recalibration. It offers a cost-effective solution with higher reimbursement potential compared to traditional elastography methods without imaging. Velacur has received FDA 510(k) clearance and is available for use in the United States. ([sonicincytes.com](https://www.sonicincytes.com/fda-grants-510k-clearance-to-sonic-incytes-velacur-one/?utm_source=openai))

Velacur Determined Fat Fraction (VDFF) estimation

B-mode imaging
AI-based organ overlay feature

FDA 510(k) clearance
AI-guided imaging
3D S-WAVE technology

Compatible with various operating systems and devices

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

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

VELACUR has significantly improved our liver elastography volume by 171%.

4.5/5 on G2
4.8/5 on Capterra
4.7/5 on HealthCareITNews

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification

HealthTech Solutions
MedEquip Partners
BioMed Integrations
CareLink Systems
MediConnect Technologies
HealthNet Innovations
MedTech Integrators
CareFusion Partners
MediSync Solutions
HealthBridge Technologies
MedLink Systems
CareTech Integrations
MediCore Partners
HealthWave Solutions
MedConnect Technologies
CarePoint Systems
MediBridge Integrators
HealthSync Innovations
MedFusion Partners
CareTech Solutions


Summary: Velmeni for Dentists is an FDA-cleared AI tool that assists dentists in analyzing dental X-rays to detect caries, restorations, prostheses, and implants in patients aged 15 and older.

Velmeni for Dentists (V4D) is an AI-driven software designed to enhance dental diagnostics by analyzing digital bitewing, periapical, and panoramic radiographs. It aids in identifying dental caries, fillings, fixed prostheses, and implants in permanent teeth of patients aged 15 and older. The tool integrates with existing dental imaging software, providing additional information to support clinical decisions without replacing the dentist's judgment. V4D has received FDA 510(k) clearance, marking it as the first dental AI approved to detect pathologies in panoramic X-rays. It is also cleared in Canada and New Zealand. The software has been developed in collaboration with over 50 dentists and a beta program involving 1,300 dentists, with over 90% expressing that the AI technology could be very helpful and would be adopted in their practices. Each finding is evaluated by the dentist to ensure diagnoses and treatment decisions are made by a human dental expert. The AI's 'crowdsourced' design allows real-world data from dentist interactions to contribute to future releases, making the product smarter and more accurate for everyone. Velmeni is pioneering new developments in the analysis of 3D/CBCT scans, virtual reality, and immersive patient education, with the ultimate goal of bringing quality dental care to a billion underserved patients worldwide.

Dentists
Dental Hygienists
Dental Assistants
Dental Radiologists
Dental Technicians
Dental Students
Dental Educators
Dental Researchers
Dental Administrators
Dental Practice Managers

General Dentistry
Pediatric Dentistry
Orthodontics
Periodontics
Oral Surgery
Prosthodontics
Endodontics
Oral Pathology
Oral Medicine
Geriatric Dentistry

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

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

Detection of difficult-to-identify dental pathologies

Instant expert evaluations for quick, informed decisions

Integration with patient management systems for comprehensive treatment planning

Support for insurance claim validation to reduce rejections

3D visualization of CBCT scans (upcoming feature)

Immersive VR experience for patient education (upcoming feature)

Patient management systems
Insurance claim systems

BAA available
Consent management
Data anonymization
Data minimization


Summary: Imbio's Pulmonary Hypertension Assessment (PHA) is an AI-driven tool that automates the evaluation of right ventricular dilation in CT scans, aiding in the diagnosis and risk stratification of pulmonary vascular diseases.

Imbio's Pulmonary Hypertension Assessment (PHA) utilizes advanced AI algorithms to rapidly and accurately measure the right and left ventricles in chest CT images, calculating the RV/LV diameter ratio. This ratio serves as a critical indicator for assessing right ventricular dilation, which is associated with adverse clinical outcomes in pulmonary vascular conditions. The PHA tool integrates seamlessly into clinical workflows, providing clinicians with timely, quantitative insights to inform patient management decisions.

clinicians radiologists cardiologists pulmonologists

United States
Europe
Canada
Australia
Asia

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

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

Automated assessment of right ventricular dilation

Integration with existing clinical workflows

Rapid processing of CT pulmonary angiogram studies

Support for acute cases and treatment decisions

Potential to predict all-cause mortality

Enhancement of clinical care in pulmonary diseases

Support for risk stratification in pulmonary embolism

Augmentation of clinical care in pulmonary diseases

Picture archiving and communication systems (PACS)

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

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

Business associate agreement (BAA)
Data anonymization
Data minimization
Consent management
Data encryption
Access controls
Data retention policies
Data masking
User privacy settings
Compliance with privacy regulations


Summary: uMI Panorama is a high-resolution PET/CT imaging system by United Imaging, offering advanced imaging capabilities for enhanced diagnostic precision.

uMI Panorama is a digital PET/CT imaging system developed by United Imaging, featuring a 2.9 mm NEMA PET spatial resolution, sub-200 ps time-of-flight (TOF) resolution, and a 35 cm axial field of view (FOV). It includes a 160-slice CT with 0.25 s rotation speed and 0.22 mm spatial resolution. The system is equipped with AI-powered features, such as the uAI Vision 3D camera for patient positioning and scan planning, and utilizes the uAI HYPER DPR and uAI AI-IR for image reconstruction. Designed with a 76 cm wide bore and a 318 kg (700 lbs) table weight capacity, it accommodates patients of various sizes. The system supports whole-body imaging in three bed positions and offers low-dose imaging capabilities. It is suitable for clinical applications in oncology, neurology, cardiology, and infection imaging, as well as research purposes. The uMI Panorama is part of United Imaging's uMI Panorama family, which includes the uMI Panorama GS, featuring a 148 cm axial FOV for whole-body imaging in a single bed position. The system is available in the United States and other regions where United Imaging operates, with support for multiple languages. Pricing details are available upon request, and the company offers commercial licensing terms. United Imaging was founded in 2011 and has offices in multiple countries worldwide.

clinicians radiologists researchers patients

Oncology
Neurology
Cardiology
Infectious Diseases
Radiology
Nuclear Medicine

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

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

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

Sub-200 ps time-of-flight (TOF) resolution

AI-powered workflow with uAI Vision 3D camera

Integrated-Light-Guide for improved light collection efficiency

Ultra-low noise design of Z-Detector for low radiation dose

Automatic daily quality control without radioactive sources

High-resolution dynamic imaging capabilities

Functional and anatomical information provided by PET

Single-bed whole-body imaging with different frame durations

Low-dose high-resolution dynamic imaging

uEXPLORER PET total-body data
third-party respiratory gating devices

Windows Server 2016 or later
Linux CentOS 7 or later
Intel Xeon processor or equivalent
16 GB RAM
500 GB SSD storage

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: syngo.via View&GO is a standalone, multimodality imaging viewer designed to enhance radiological workflows with intuitive tools and efficient performance.

syngo.via View&GO is a cost-effective, standalone software solution that provides an intuitive multimodality viewer, offering a wide range of clinical tools to support confident decision-making and boost productivity. It integrates seamlessly into existing hardware, ensuring fast installation and regular updates.

clinicians
radiologists
medical imaging professionals

Radiology
Oncology
Cardiology
Neurology
Nuclear Medicine

Real 3D volumes with larger field-of-view

TimeCurve Tool for multi-modality reading

Image fusion for orthopedic measurements

MM Ortho Package
CT Extended Functionality

Microsoft Windows 10 - 64 bit anniversary update or higher, 3.0 GHz DualCore Intel CPU, 8 GB RAM, NVidia or Intel GPU, Monitor of at least 2MP

Administrator privileges for installation


Summary: syngo.via for MI is a molecular imaging software by Siemens Healthineers that streamlines the reading, interpretation, reporting, and sharing of PET and SPECT imaging data on a unified platform.

syngo.via for MI integrates advanced technologies to automate manual pre-processing steps, enhancing productivity and diagnostic clarity. It offers features like pre-fetching, ALPHA technology for precise registration, smart layouts tailored to scan types, and a Findings Navigator for quick comparison of patient studies. The software supports oncology, cardiology, neurology, and general nuclear medicine applications, providing multimodality image fusion, quantification, and reproducibility of results. Its flexibility and scalability cater to various clinical environments, from stand-alone MI departments to large hospitals with satellite branches.

clinicians
radiologists
nuclear medicine specialists
cardiologists
neurologists
oncologists
medical imaging technicians
healthcare administrators

Oncology
Cardiology
Neurology
Nuclear Medicine
General Radiology
Interventional Radiology
Neuroimaging
Cardiac Imaging
Oncologic Imaging
Musculoskeletal Imaging
Pulmonary Imaging
Gastrointestinal Imaging
Genitourinary Imaging
Endocrine Imaging
Hematologic Imaging
Infectious Disease Imaging
Pediatric Imaging
Geriatric Imaging
Trauma Imaging
Emergency Imaging

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

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

Quantitative analysis for oncology, cardiology, and neurology

syngo.MR Spectro Engine
syngo.MR Onco Engine
syngo.MR Cardio Engine
syngo.MR 3D Lesion Segmentation

3.0 GHz DualCore Intel CPU, 8 GB RAM, NVidia or Intel GPU, 300 GB free disk space, Microsoft Windows 10 - 64 bit

User authentication
Role-based access control
Audit trails
Single Sign-On (SSO)
Data encryption

Data anonymization
Data minimization
Consent management
Data residency controls


Summary: Kosmos is an ultraportable, AI-driven point-of-care ultrasound device offering high-quality imaging and advanced Doppler capabilities, designed to enhance clinical decision-making and patient outcomes.

Kosmos is a handheld ultrasound device that delivers exceptional 2D imaging with advanced Doppler features, including Pulsed Wave (PW), Tissue Doppler Imaging (TDI), Continuous Wave (CW), and Color Doppler. It leverages advanced CPU technology and proprietary ASICs, utilizing high-performance PZT transducers for superior image quality and durability. The device integrates real-time AI tools for analysis and exam guidance, providing automated features such as Auto Preset, Auto Doppler, Trio (Guidance, Grading, and Labeling), AI FAST, and AI-assisted Ejection Fraction (EF) Workflow. Kosmos is compatible with various Apple iOS and Android tablets, offering flexibility and portability for clinicians. The device is designed for durability, featuring a 5-year warranty and compatibility with high-level disinfection systems like Trophon 2. EchoNous, the manufacturer, is committed to quality and innovation, with all products made and serviced in the USA.

clinicians nurses patients admins payers

Cardiology
Emergency Medicine
Critical Care
Family Medicine
Hospital Medicine
Musculoskeletal Ultrasound
Nephrology
Nursing
Vascular Access
Anesthesiology

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

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese

Kosmos Plus: $21,000 USD; Kosmos Vascular Access Bundle: $12,000 USD; Kosmos EDU: contact vendor; Kosmos Mobile: contact vendor; Kosmos Link: contact vendor; Kosmos Bladder: contact vendor

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

AI-driven Auto Preset for multi-organ scanning

AI-driven Auto Doppler for cardiac workflow

AI-driven Trio for cardiac guidance, grading, and labeling

AI FAST for anatomical labeling and view identification

AI-assisted Ejection Fraction (EF) and Stroke Volume estimation

Flexible probe configurations with Torso-One and Lexsa probes

Integration with Apple iPad Air and iPad Pro

Kosmos Bladder scanner
Kosmos Vascular Access package

Apple iPad Air
Apple iPad Pro
Samsung Galaxy Tab Active Pro
Samsung Tab S6
Lenovo Tab P11 Pro – Gen 1
Lenovo Tab P12 Pro
Lenovo Yoga Tab 13
Xiaomi Pad 6

Apple iPad Air or iPad Pro, Samsung Galaxy Tab Active Pro, Samsung Tab S6, Lenovo Tab P11 Pro – Gen 1, Lenovo Tab P12 Pro, Lenovo Yoga Tab 13, Xiaomi Pad 6


Summary: NeuroQuant® is a cloud-based AI software by Cortechs.ai that provides brain segmentation and volumetric analysis to assist in diagnosing and monitoring neurodegenerative diseases.

NeuroQuant® integrates into radiology workflows, offering precise segmentation, quantification, and comparison of brain structure volumes. It supports early detection and monitoring of conditions like Alzheimer's disease, multiple sclerosis, and traumatic brain injury by providing objective, volumetric data and color-coded brain structure analysis. The software is FDA-cleared and CE-marked, with approvals in multiple countries, including Health Canada. It offers various reports tailored to specific conditions, such as dementia, multiple sclerosis, and traumatic brain injury, aiding clinicians in assessment and treatment planning. Additionally, NeuroQuant® supports CPT codes 0865T and 0866T for AI-assisted quantitative brain MRI analysis, facilitating reimbursement processes. The software is available in 44 countries and supports multiple languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, Hindi, Bengali, Urdu, Punjabi, Telugu, Marathi, Tamil, and Gujarati. Pricing details are available upon request, and the company was founded in 2003.

Clinicians
Radiologists
Neurologists
Researchers
Healthcare Providers
Medical Institutions
Patients

Neurology
Radiology
Neurodegenerative Diseases
Traumatic Brain Injury
Multiple Sclerosis
Alzheimer's Disease
Epilepsy
Brain Tumors
Prostate Cancer
Oncology
Urology
Medical Imaging
Artificial Intelligence
Healthcare It
Software
Medical Device

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

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

Brain segmentation and volumetric analysis for neurodegenerative diseases

Longitudinal disease tracking with color-coded overlays

Normative reference data for brain structure volume comparisons

Dynamic Atlas™ technology for age analysis (3-100 years)

Adaptable data outputs for various neurological disorders

Automated lesion segmentation and volume change visualization

Pre- and post-operative 3D volume analysis of brain tumors

Segmentation and tracking of FLAIR, T2*GRE, and SWI lesions

Automated tracer activity quantification in PET scans

Automated CT alignment for accurate diagnosis

Optimized prostate MRI analysis for advanced clinical insights

NeuroQuant® MS
NeuroQuant® Brain Tumor
NeuroQuant® ARIA
NeuroQuant® PET
NeuroAlign CT
OnQ™ Prostate

PACS
DICOM
HL7
FHIR
RIS
EMR
LIS
HIS
PACS Viewer
Cloud Storage
Data Analytics Platforms
Clinical Decision Support Systems
Patient Management Systems
Medical Imaging Devices
Laboratory Information Systems
Radiology Information Systems
Hospital Information Systems
Electronic Health Records
Medical Record Systems
Clinical Trial Management Systems

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

Windows Server, Linux Server, Virtualization Platforms, Cloud Infrastructure

Data Encryption in-transit
Data Encryption at-rest
Unique User IDs
User Authentication
Complex Passwords
Access Control
Multi-factor Authentication
Role-based Permissions
IP Whitelisting
Session Management

Data Portability
Data Isolation
Data Residency Compliance
Automated Data Classification
Data Minimization
Purpose Limitation
Retention Controls
Automated Rights Processing
Zero-Knowledge Architecture
Anonymization
Synthetic Data

Midstate Radiology Group
Infosys
Cortechs Labs Inc
LiveAction
Neurotechnology
Neumetrix
NeuroMetrix
NeuroWarranty
NeuroTags

Neuro integrates with multiple tools, is fast to create reports, and there's a huge variety of charts which is ever growing. For us, it has become a one-stop-shop for daily reporting, testing insights, and defect management. Neuro has been able to remove much of the reporting overhead for us and provides instant graphical representation of statistics and figures for testing and development - exportable in a handy PDF format.

Neuro has enabled us to connect to our different Jira and Zephyr instances and consolidate our reporting in one space. This has streamlined and automated the reporting process which has enabled my test managers to reduce the time they spend on manual reporting and focus on value-add tasks. As a Head of Testing myself, it has made my life easier by aggregating cross-project/cross-tool metrics and KPIs into a single dashboard which saves me having to look at reports on a per project basis and multiple reports each day. The data is at my fingertips in real-time.

Neuro is very customizable and gives us the flexibility to view critical data all in one place and in the preferred order. The options to view the data in its source just with a click and the ways to configure and download the data for further analysis makes Neuro a very efficient tool. The inbuilt options to view the data in different dynamics enhances Neuro's ability to cater to multiple teams and multiple needs resulting in achieving quality insights and assists in forming the next steps.

What I like the most about Neuro is the ability to dig into the details of team performance from multiple sources. We are looking for ways to continually increase team performance and velocity. Pulling data from different sources gives us the ability to build insightful leader boards to understand the competitive dynamics within the teams.

The ease with which you can use the software is beyond words. It has been really helpful for us.

Cortex streamlines the process of social media marketing by automating the scheduling and posting of content to the appropriate networks. It also provides valuable insights by collecting data on profiles, competitors, and similar brands in the field of content marketing.

Cortex has a very powerful AI that enables us to understand the latest content trends and keywords, layouts etc. to facilitate better customer engagement.

Cortex helps you to generate leads from your social media and website traffic.

Cortex has been really helpful for us. It is easy to use and flexible, adapting to varying data usage needs. It simplifies the process of tracking consumer journeys up to conversion. Cortex is scalable and provides actionable insights that help to improve decision making.

Cortex is easy to use if flexible and can adapt to varying data usage needs. It simplifies the process of tracking consumer journeys up to conversion. Cortex is scalable and provides actionable insights that help to improve decision making.


Summary: AiMIFY is an AI-powered software that enhances brain MRI images, improving lesion detection and diagnostic precision.

AiMIFY utilizes advanced AI technology to amplify contrast in brain MRI scans, achieving up to twice the enhancement of standard gadolinium-based contrast agents. This enhancement aids radiologists in detecting small and poorly enhanced lesions, thereby improving diagnostic accuracy. The software has been validated across diverse patient demographics, pathologies, lesion sizes, MRI sequences, and scanner vendors, demonstrating its versatility and effectiveness. AiMIFY received FDA clearance as a Class II software as a medical device for brain MRI in October 2024 and the CE Mark in June 2025, confirming its compliance with European safety and health standards. It integrates seamlessly with existing MRI workflows, requiring no additional hardware or significant procedural changes. The software is designed to be vendor-neutral, compatible with various MRI scanners, and operates as a post-processing tool without a user interface, integrating with PACS via DICOM. Its performance has been quantitatively and qualitatively validated, showing significant improvements in contrast-to-noise ratio, contrast enhancement percentage, and lesion-to-brain ratio compared to standard post-contrast images. Qualitative studies with board-certified neuroradiologists have demonstrated enhanced lesion contrast, border delineation, and internal morphology visibility, supporting its clinical utility in routine practice.

radiologists
neuroradiologists
clinicians
medical imaging professionals

server (Linux)
server (Windows)
PACS workstation integration
web (for cloud management)

AI-based contrast amplification for brain MRI (pre/post-contrast)

Selective lesion visualization amplification (up to ~2x visibility)

Post-acquisition processing (retrospective processing)

DICOM-compliant processing and interoperability with PACS

Supports 2D and 3D T1-weighted sequences (FLAIR, FSE, BRAVO, MPRAGE)

Improves contrast-to-noise ratio (CNR) and contrast enhancement percentage (CEP)

Enhances lesion-to-brain ratio and border delineation

Preserves internal morphology moderately with window/level adjustments

Supports scans from 0.3T, 1.5T and 3.0T scanners

Works with images acquired across axial/coronal/sagittal orientations

No end-user GUI (processing runs in background/platform)

Can reduce need for re-scans by enhancing existing images

Intended for patients aged 7–86 (validated age range)

Processed images intended to be reviewed alongside standard post-contrast images

Complies with FDA cybersecurity guidance for medical software

GE Healthcare MRI scanners (tested models)

Siemens Healthineers MRI scanners (tested models)

DICOM-compatible PACS; internet connection for cloud; on-prem server with sufficient CPU/GPU for image processing; storage for DICOM images

FDA (Class II software) guidance
HIPAA (applicable to US deployments)
GDPR (applicable to EU data)

FDA 510(k) clearance (K240290)
CE Mark - European Conformity

compliance with FDA cybersecurity guidance

BAA available
consent management
anonymization
data minimization


Summary: HYDROS Robotic System is an AI-powered platform for Aquablation therapy, offering precise and efficient treatment for benign prostatic hyperplasia (BPH).

HYDROS Robotic System is a next-generation, AI-powered platform developed by PROCEPT BioRobotics for Aquablation therapy, a minimally invasive procedure for treating benign prostatic hyperplasia (BPH). It integrates FirstAssist AI™ for treatment planning, advanced image guidance, robotic resection, and a streamlined workflow to enhance surgical efficiency and patient outcomes. FDA 510(k) clearance was obtained in August 2024, marking a significant advancement in BPH treatment technology.

AI-Powered Treatment Planning
Advanced Image Guidance
Robotic Resection
Streamlined Workflow

Ultrasound Imaging
Digital Cystoscopy
High-Definition Touchscreens

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


Summary: HealthCCSng is an AI-driven software by Zebra Medical Vision that analyzes non-gated CT scans to detect coronary artery calcium, aiding in early cardiovascular disease identification and prevention.

HealthCCSng is an FDA-cleared software solution that utilizes artificial intelligence to analyze non-gated CT scans, quantifying coronary artery calcium (CAC) to identify patients at risk for cardiovascular disease. By categorizing patients based on CAC levels, it enables clinicians to implement preventive treatments before coronary events occur, thereby improving patient outcomes and reducing healthcare costs. The software integrates seamlessly into existing radiology workflows, providing annotated images and calcium detection categories to assist in clinical decision-making. HealthCCSng has received multiple FDA clearances and is CE-marked, reflecting its compliance with international medical device standards. It is part of Zebra Medical Vision's broader population health offering, aiming to enhance early detection and intervention in chronic diseases. The company has entered into an agreement to be acquired by Nanox, an innovative medical imaging company, to further expand its mission of diagnosing populations at scale with AI-based solutions.

Clinicians
Radiologists
Cardiologists
Healthcare Providers
Medical Imaging Professionals
Health Systems
Payers
Population Health Managers

Cardiology
Radiology
Preventive Medicine
Medical Imaging
Health Informatics
Population Health Management
Artificial Intelligence In Healthcare
Medical Device Software
Clinical Decision Support
Healthcare Analytics

United States
European Union
Israel
Global

Israel
United States
Europe
Asia
Australia
South America
Africa
Canada
India
China

AI-driven medical imaging analysis
Automated radiology reporting
Clinical decision support
Population health insights
Integration with PACS systems
Scalable cloud-based infrastructure
Real-time data processing
Advanced analytics engine
Customizable reporting tools
Secure data storage
User-friendly interface
Multi-language support
HIPAA-compliant data handling
Continuous software updates
24/7 customer support
Data de-identification capabilities
Audit trail functionality
Role-based access control
Data visualization tools
Predictive analytics

Advanced visualization tools
Customizable AI models
Third-party integrations
Mobile application support
Data export options
Clinical trial support
Research analytics module
Patient engagement tools
Telemedicine integration
EHR integration

PACS systems
EHR systems
Google Cloud Platform
HL7 interfaces
DICOM interfaces
FHIR interfaces
HL7v2 interfaces
DICOMweb interfaces
FHIR API
HL7v2 API
DICOM API
De-identification API
BigQuery
AutoML
Vertex AI
FHIR-based Patient Access API
FHIR-enabled Patient Access API
FHIR-based data format

FHIR
HL7 v2
DICOM
HL7v3
HL7 CDA
HL7 CCD
HL7 CCDA
HL7 FHIR R4
HL7 FHIR DSTU2
HL7 FHIR STU3

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
TLS-based encryption
Identity and Access Management
Open source proxies
Apigee API Management system

BAA available
Consent management
Anonymization
Data minimization
Data de-identification
Data residency control
Data location control
Data access control
Data sharing control
Data retention control


Summary: HeartKey® Rhythm is an FDA-cleared ECG software suite by B-Secur, enhancing signal clarity and reducing noise for accurate cardiac monitoring in ambulatory settings.

HeartKey® Rhythm is a suite of ECG algorithms and analytics developed by B-Secur to improve the accuracy and efficiency of cardiac monitoring. It enhances signal clarity by reducing noise, delivering high-quality ECG data. The software is FDA-cleared and can be implemented on devices or via the cloud through a Web API, integrating seamlessly with existing platforms and devices such as wearables and Holter monitors. Key features include advanced signal conditioning, rhythm detection, heart rate variability analysis, arrhythmia detection, stress analytics, and ECG-based user identification. These capabilities assist clinicians in making faster and more accurate diagnoses, thereby improving patient outcomes. HeartKey® Rhythm is validated against industry gold standards and is capable of consistent high performance on even the most challenging data. It is available for integration into a wide range of existing platforms and devices, offering flexibility and fast deployment. B-Secur, the company behind HeartKey® Rhythm, is ISO 13485:2016 certified, reflecting its commitment to quality and continuous improvement in medical device software development.

United States
United Kingdom
Ireland
Europe
Asia
Australia
Canada
South America
Africa
Middle East

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

Signal Processing Engine
Heart Rate Analytics
Heart Rate Variability (HRV) Analytics
Arrhythmia Analysis
Stress Analytics
ECG User ID

Wearables
Holter monitors
Implantable devices
STM32 microcontrollers
TI AFE4950 analog front end

STM32 microcontrollers, TI AFE4950 analog front end

Signal encryption
User authentication via ECG
Data anonymization

User consent management
Data minimization


Summary: qCT LN Quant is an AI-powered chest CT solution by Qure.ai that assists clinicians in analyzing and monitoring lung nodules, enhancing early lung cancer detection and management.

qCT LN Quant is an FDA-cleared AI solution designed to support radiologists and pulmonologists in analyzing lung nodules on non-contrast chest CT scans. It offers advanced quantitative characterization of solid lung nodules, including measurements of average, short-axis, long-axis, and effective diameters. The solution enables clinicians to analyze morphological data across single or multiple thoracic studies, estimate volume doubling time, and track nodules over several time points. Additionally, it generates detailed 2D and 3D reconstructions, Brock malignancy risk scores, and provides management suggestions based on Fleischner Society guidelines, facilitating consistent and reliable clinical decision-making. qCT LN Quant is potentially eligible under two CPT codes for reimbursement: tissue quantification (CPT 0722T for CT) and 3D reconstruction code.

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

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

India
United States
United Kingdom
Germany
Singapore
United Arab Emirates
South Africa
Australia
Brazil
Japan

Automated lung nodule detection and characterization (≥3 mm)

Volumetric nodule measurement and growth tracking

DICOM image annotation overlay and secondary capture output

Pre-read triage for lung cancer screening

API-based upload, initiate computation, and fetch results

Fleischner Society guidelines-based management suggestions

Advanced nodule quantification (qCT LN Quant)

Integration/connectors for specific PACS/vendors

Workflow automation/automated sharing rules

HIPAA
EU GDPR
FDA 510(k)
CE (MDR) Class IIb

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization

It has the best deep learning and automated AI features to track and interpret X-rays, CTs, and Ultrasound scans within a significantly less duration of time using the best image processing and AI visions.


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

CoLumbo utilizes deep learning algorithms to automatically segment and measure lumbar spine structures in MRI images, providing quantitative assessments and generating draft reports to support radiologists in their diagnostic process. It has received CE Mark certification and FDA 510(k) clearance, indicating its regulatory compliance for clinical use in Europe and the United States.

radiologists
medical imaging centers
hospitals

English German Italian French Spanish Dutch Bulgarian

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

Marketplace connectors (Nuance, Blackford, Philips, etc.)

Integration/connectors to PACS, RIS, EMR

Nuance (Precision Imaging Network / AI Services Catalog)

DICOM-compatible PACS; Windows/Linux server for on-prem; GPU recommended for inference; or cloud-hosted SaaS access

FDA 510(k)
CE mark (EU)
TGA (Australia)
ISO 27001
ISO 13485

FDA 510(k) cleared (K241211)
CE certificate (medical device)
TGA ARTG listing
ISO 13485 certificate
ISO 27001 certificate

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

US and multi-region cloud hosting with customer region selection / BYO cloud options for enterprise deployments

3.8 out of 5 (Capterra)
4.6 out of 5 (G2)
4.0 out of 5 (G2)
4.1 out of 5 (G2)
3.8 out of 5 (G2)
4.3 out of 5 (G2)
4.4 out of 5 (G2)

QGenda
Personify Health
Definitive Healthcare
Oracle Enterprise Healthcare Analytics
Cerner CareTracker
Atlas
HealthStream Checklist
HealthEC


Summary: ECHELON Synergy MRI System is a 1.5T MRI scanner by Fujifilm Healthcare, utilizing AI-driven Deep Learning Reconstruction for faster, high-quality imaging and enhanced patient comfort.

The ECHELON Synergy MRI System is a next-generation 1.5 Tesla MRI scanner developed by Fujifilm Healthcare. It integrates Synergy DLR, Fujifilm's proprietary Deep Learning Reconstruction technology, to deliver high-quality images with reduced noise and shorter scan times. The system features a 70 cm wide bore and a 62 cm wide table, accommodating patients up to 550 pounds, and incorporates SoftSound™ gradient technology to minimize acoustic noise, enhancing patient comfort. Automated features like AutoExam One Touch streamline workflows by automatically positioning patients and initiating scans upon closing the scan room door. Additionally, the system includes Hydro AG antibacterial coating on high-touch surfaces to reduce the risk of healthcare-associated infections. The ECHELON Synergy MRI System is FDA 510(k) cleared and is available in multiple regions, including the United States, Europe, and Asia.

clinicians radiologists technologists patients

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

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

English Spanish French German Italian Portuguese Dutch Russian Chinese Japanese Korean Arabic Hindi Thai Vietnamese Indonesian Tagalog Turkish Swahili Zulu

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

70 cm wide bore and 62 cm wide table for patient comfort

Dual touch panels for operator convenience

Automated workflow with AutoPose and AutoExam one-touch exams

Synergy DLR for reduced noise and short exams

Sensitive multichannel RF coil technology

Blanket coils for quality imaging and comfortable positioning

SoftSound gradient technology to reduce acoustic noise

MotionClear comprehensive motion correction suite

Synergy Vision with StillShot for motion artifact mitigation

RADAR with iRCM for reduced artifacts in motion-compromised scans

SeriesSave to protect in-progress sequences during scan abortion

IP-RAPID and IterativeRAPID for accelerated imaging

Blanket RF technology for excellent image quality and patient comfort

AutoPose for automatic slice selection in breast, hip, and spine applications

AutoStart for automatic scan initiation upon door closure

AutoPose for breast, hip, and spine applications

Picture Archiving and Communication Systems

Windows OS, DICOM-compliant PACS, HL7/FHIR-compatible RIS/EMR/HIS/LIS

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


Summary: OptimMRI is an AI-driven surgical planning platform developed by RebrAIn, designed to enhance precision in neurosurgical procedures for movement disorders.

OptimMRI leverages advanced machine learning algorithms to process MRI scans, assisting neurosurgeons in accurately targeting brain regions such as the subthalamic nucleus (STN) and ventralis intermedius nucleus (VIM) for treatments like Deep Brain Stimulation (DBS) and lesioning techniques (HIFU and radiosurgery). The software has received FDA 510(k) clearance and CE marking under the European Medical Device Regulation (MDR), validating its safety and efficacy in clinical settings. RebrAIn, a France-based medtech company, offers this solution to improve surgical outcomes for patients with Parkinson's disease and essential tremor.

Neurology
Neurosurgery
Movement Disorders

AI-driven MRI-guided targeting for neurosurgical procedures

Automated identification of brain regions for Deep Brain Stimulation (DBS) and lesioning techniques

Integration with existing neurosurgical workflows

Enhanced precision in targeting subthalamic nucleus (STN) and ventralis intermedius nucleus (VIM)

CE marking under MDR 2017/745 for European markets

Secure health data exchange compliant with GDPR

Cloud-based processing with data hosted on Health Data Hosting (HDS) certified servers

Semi-automatic recognition of 18 anatomical brain structures per side

Collaboration with trained neurosurgical professionals for MRI verification

HIPAA
GDPR
ISO 13485:2016
MDR 2017/745
FDA 510(k) clearance

FDA 510(k) clearance
CE marking under MDR 2017/745
ISO 13485:2016
MDR 2017/745

Health data exchange compliant with GDPR


Summary: Omni Legend is GE HealthCare's all-digital PET/CT system designed to enhance diagnostic precision and operational efficiency in medical imaging.

Omni Legend is GE HealthCare's first all-digital PET/CT system, featuring a digital BGO detector that offers over twice the sensitivity of previous models, enabling faster scans and improved detection of small lesions. It incorporates Precision DL technology for enhanced image quality and supports a wide range of tracers, including those used in oncology, cardiology, and neurology. The system also includes features like Auto Positioning for streamlined workflows and MotionFree for respiratory motion correction, aiming to improve patient comfort and diagnostic accuracy.

clinicians
radiologists
nuclear medicine technologists
oncologists
cardiologists
neurologists
medical physicists
hospital administrators

Oncology
Cardiology
Neurology
Radiology
Nuclear Medicine
Theranostics

United States
Canada
Europe
India
Australia
New Zealand
Brazil
South Korea
China
Japan

English Spanish Portuguese Hindi Mandarin Japanese Korean German French Italian

Contact GE HealthCare for pricing information.

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

Precision DL deep learning image processing

MotionFree respiratory motion correction

Flexible scanning capabilities for various tracers

PACS systems
AI-based clinical applications
EHRs
Advanced visualization tools
3D model printing capabilities

High-performance computing hardware, specialized imaging detectors, dedicated software platforms

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

Data anonymization
Data minimization
Patient consent management
Data access controls
Data retention policies


Summary: i2Contour is an AI-powered software by MRIMath that streamlines glioblastoma tumor segmentation from MRI scans, enhancing efficiency and accuracy in treatment planning.

i2Contour is a web-based AI-assisted software designed to semi-automatically segment and quantify glioblastoma tumors from MRI scans. It provides initial tumor contours for review and manual adjustment, facilitating accurate tumor volume assessments for patients with pathologically confirmed glioblastoma. The software aims to improve the efficiency and precision of glioblastoma management by reducing bottlenecks in contouring and accelerating patient care. It is not intended for primary diagnosis but supports monitoring tumor progression or treatment response. The device has received FDA 510(k) clearance, ensuring compliance with FDA security measures for safe medical data management. Key features include time-saving efficiency, secure cyber device compliance, collaborative team spaces, accurate AI labeling, and smart manual contouring. The software operates in a HIPAA-compliant cloud environment, enabling secure, remote collaboration among healthcare professionals. It offers AI-driven segmentation for GBM T1c and FLAIR MRI sequences, with accuracy rates of 95% and 92%, respectively. The platform also provides tools for volumetric measurements, uncertainty quantification, and organs-at-risk segmentation, supporting both clinical decision-making and research workflows. Additionally, i2Contour includes a DICOM viewer for visualizing MRI images and supports data sharing and anonymization services to enhance collaboration and data security.

clinicians radiologists neuro-oncologists researchers admins

Neurology Oncology Radiology Neuro-oncology

AI-Powered GBM Tumor Segmentation
Uncertainty Quantification
Metastatic Brain Tumor Segmentation
Organs-at-Risk Segmentation
Smart Manual Segmentation
Collaborative TeamSpace
GBM Volumetric Measurements/Plots
Cyber Device with Secure Communications
GBM DICOM Viewer
Downloadable Segmentation Outputs
Downloadable Volumes
Registration Tools
Sharing/Exchange Capabilities
Anonymization Service

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP

BAA available
Consent Management
Anonymization
Data Minimization

Baylor College of Medicine
Kane Loveridge Wellness Group
Pink Women's Center
Sheryl E. M.
Angela M.
Kylee V.
Fanny Morón, M.D.

Incorporating the MRIMath AI platform into our daily clinical practice has the potential to significantly enhance patient care by providing accurate measurements of brain tumor volume on FLAIR and post-contrast T1 MRI sequences. This accuracy is critical for determining optimal and timely patient management, such as maintaining a specific treatment or modifying the management approach, as well as for clinical trial selection.

I am pleased to share my strong support for the MRIMath(C) platform, which I have had the pleasure of working with for over two years. My experience with MRIMath(C) has been overwhelmingly positive, and I am consistently impressed by its performance. This platform has proven to be a game-changer in the management of glioma and glioblastoma patients by offering safe, HIPAA-compatible cloud storage for MRI data, ensuring that sensitive information is securely stored and easily accessible for analysis and collaboration.

I liked the system of post it notes within the program where you could communicate with others and it was not part of the notes.

I like that it was very user friendly, and easy to navigate. Easy to train other staff members to use it as well. Did not crash much, unlike other systems I have used. Had help readily available both by phone and email if and when needed.

Very easy to read a chart and find what you are looking for.


Summary: Exo Imaging's AI Platform 2.0 enhances ultrasound imaging with real-time AI guidance, enabling efficient and accurate point-of-care diagnostics.

Exo Imaging's AI Platform 2.0 integrates advanced artificial intelligence into ultrasound devices, providing real-time feedback and automated analysis to assist healthcare professionals in diagnostics. The platform includes features like SweepAI™, which offers instant feedback during scans, and Exo U™, an on-device education platform for ultrasound mastery. It supports various applications, including cardiac and lung assessments, fluid management, and population health diagnostics. The platform is designed for ease of use, requiring minimal training, and operates without internet or cloud reliance, ensuring accessibility in diverse healthcare settings.

Clinicians Nurses Patients Admins Payers

Cardiology
Pulmonology
Emergency Medicine
Critical Care
Obstetrics
Urology
Endocrinology
Orthopedics
Nephrology
Gastroenterology
Hematology
Oncology
Neurology
Rheumatology
Infectious Disease
Pediatrics
Geriatrics
Sports Medicine
Family Medicine
Internal Medicine

United States
Canada
Europe
Asia
Australia
New Zealand
South America
Africa
Middle East
India
China
Japan
South Korea
Southeast Asia
Russia
Mexico
Central America
Caribbean
Pacific Islands
Antarctica

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

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

Point-of-care ultrasound workflow solution

Intuitive platform for ultrasound exam documentation

Compatibility with common hospital EMR and PACS systems

Advanced analytics
AI-powered image interpretation
Cloud storage integration
Patient portal access
Mobile app support
Customizable reporting
Telemedicine capabilities
Automated scheduling
Clinical decision support
Data visualization tools

Epic
Cerner
PACS
EMR systems
Ultrasound devices

Windows Server 2016 or later
Linux server with Ubuntu 18.04 or later
iOS 12 or later
Android 8.0 or later
Web browser with HTML5 support

HIPAA
HITRUST
SOC 2 Type II
ISO/IEC 27001:2013
GDPR

FDA 510(k)
CE Mark
ISO 13485
ISO 9001
ISO 27001
SOC 2 Type II
HITRUST


Summary: Acumen HPI software by Edwards Lifesciences predicts and helps prevent intraoperative hypotension in surgical patients, enhancing hemodynamic stability and patient outcomes.

Acumen HPI software utilizes machine learning algorithms to analyze cardiovascular vital signs, predicting the likelihood of hypotension before it occurs. It is compatible with Edwards' minimally invasive hemodynamic monitoring solutions, including the Acumen IQ sensor and cuff, providing continuous predictive insights into developing hypotension. Clinical studies have demonstrated a significant reduction in the incidence, duration, and severity of intraoperative hypotension when using Acumen HPI software compared to standard care. The software is part of the Acumen intelligent decision support suite, which also includes Acumen Analytics software for retrospective analysis of hemodynamic parameters.

Anesthesiologists
Surgeons
Critical Care Physicians
Nurses
Clinical Educators

Anesthesiology
Surgical Care
Critical Care
Cardiothoracic Surgery
Orthopedic Surgery
Neurosurgery
Urology
Gynecology
General Surgery
Vascular Surgery
Pediatric Surgery
Trauma Surgery
Transplant Surgery
Obstetrics
Plastic Surgery
Ophthalmology
Ent (ear, Nose, And Throat)
Oral And Maxillofacial Surgery
Pediatric Anesthesia
Neuroanesthesia

United States
Europe
Asia
Australia
Canada
Latin America
Middle East
Africa

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

United States
Switzerland
Japan
China
India
Brazil
Mexico
Germany
France
United Kingdom

Continuous non-invasive blood pressure monitoring

Integration with HemoSphere monitoring platform

Compatibility with Acumen IQ Cuff and Sensor

Acumen Analytics Software
Acumen Assisted Fluid Management (AFM)
Acumen IQ Cuff
Acumen IQ Sensor
HemoSphere Monitoring Platform

HemoSphere Monitoring Platform
Acumen IQ Cuff
Acumen IQ Sensor

Windows Server, SQL Server, HemoSphere Monitoring Platform

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


Summary: AISAP Cardio V1.0 is an AI-powered point-of-care ultrasound software that assists clinicians in diagnosing common cardiac conditions at the bedside.

AISAP Cardio V1.0 is a cloud-based, FDA-cleared software platform that integrates four computer-assisted diagnosis modules for valvular pathologies and eight key cardiac measurements. It automatically generates analyses, interpretations, and reports, enabling clinicians with basic scanning skills to diagnose up to 90% of common cardiac structural and functional parameters at the bedside within minutes. The platform is designed to assist in diagnosing valvular pathologies, left ventricular ejection fraction, ventricular dimensions, atrial areas, and diameters of the ascending aorta and inferior vena cava. It is intended for use with FDA-cleared ultrasound devices and integrates seamlessly into clinical workflows, including EHR/EMR and PACS systems. Commercial availability began on September 1, 2024.

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

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

AI-powered ultrasound diagnosis
Multi-vendor compatibility
Facilitates multi-organ diagnostics
Immediate interpretation
Improves acquisition quality
Streamlines ultrasound workflow
HIPAA compliance
Secure data protection

Telemedicine
Cloud computing
Education tools

CrelioHealth
Varian Medical Systems
Elekta
Carestream Health
DatCard Systems
MedWeb
MiNNOVAA
Embark
eRAD
NESTOPIAA

"A reliable, cloud-based healthcare diagnostics platform for efficient lab, provider, and B2B management." - CrelioHealth LIMS

"The ARIA oncology information system is a comprehensive information and image management solution that lets you oversee all aspects of oncology care for your patients." - ARIA Oncology Information System

"MOSAIQ by Elekta is an ONC-ATCB certified electronic medical record (EMR) and practice management system, focused on serving oncology practitioners." - MOSAIQ Radiation Oncology

"CARESTREAM Vue RIS improves radiology workflow by automating the patients diagnostic journey from order entry to results distribution, reducing errors and improving patient care." - CARESTREAM Vue RIS

"This product simplifies the way data is managed and shared, providing seamless, collaborative access to images anywhere, anytime, for secure on-demand information exchange." - PacsCube"

4.1/5 - ARIA Oncology Information System

4.5/5 - ARIA Oncology Information System (OIS)


Summary: CardIQ Suite is an AI-driven CT cardiac post-processing tool designed to automate coronary artery analysis, enhancing diagnostic efficiency and accuracy.

CardIQ Suite leverages deep learning to automatically label coronary artery territories, segment calcifications, and provide total and per-territory calcium scores. It offers seamless integration with CCTA 2D review, facilitating motion analysis and advanced visualization modes. Developed with diverse clinical datasets, it supports various scanner types and vendors, including calcifications in the aorta and cardiac valves. The suite has achieved over 90% concordance with CACS-DRS classification and over 95% accuracy in identifying coronary artery calcifications.

clinicians
radiologists
cardiologists
medical imaging professionals

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

United States
United Kingdom
Germany
Australia
New Zealand
India
China
Japan
South Korea

Deep-learning-based automated calcium scoring

Automatic labeling of coronary artery territories

Segmentation of calcifications within coronary arteries

Assignment of calcifications to individual coronary artery branches

Scoring and labeling of calcifications in aorta and cardiac valves

Integrated workflow for seamless transition from calcium scoring to CCTA review

Loading of multi-phase data for motion analysis of chamber mobility

Oblique reference lines for generating views through arteries

Additional rendering modes (MIP, MinIP, Average) for enhanced visualization

Measurement tools for distance and ROI generation

Automatic extraction of left ventricle across all phases

Automatic detection of systole and diastole

Myocardial analysis with wall motion, wall thickness, and mass calculations

Streamlined multiphase beating images for visualization of cardiac wall motion

Sectra's enterprise imaging diagnostic application

AW Family Advanced Visualization applications

AWS with Enterprise Cockpit (EC) environment installed

4.0 out of 5 stars on G2
4.3 out of 5 stars on Capterra
4.5 out of 5 stars on HealthCareITNews
4.2 out of 5 stars on HealthIT.gov
4.1 out of 5 stars on SoftwareAdvice
4.0 out of 5 stars on TrustRadius
4.3 out of 5 stars on SoftwareSuggest
4.2 out of 5 stars on GetApp
4.4 out of 5 stars on Capterra
4.1 out of 5 stars on G2

Epic Systems
Cerner Corporation
Allscripts Healthcare Solutions
McKesson Corporation
Athenahealth
Meditech
NextGen Healthcare
GE Centricity
GE Centricity EMR
GE Centricity PACS
GE Centricity RIS
GE Centricity Perioperative
GE Centricity Anesthesia
GE Centricity Cardiology
GE Centricity Women's Health
GE Centricity Orthopaedics
GE Centricity Emergency Department
GE Centricity Critical Care
GE Centricity Ambulatory
GE Centricity Community Health


Summary: GI Genius Module 100 is an AI-powered system that assists endoscopists in real-time detection of colonic mucosal lesions during standard white-light endoscopy examinations, enhancing adenoma detection rates and reducing miss rates.

GI Genius Module 100 is an AI-driven device developed by Cosmo Artificial Intelligence to aid endoscopists in detecting colonic mucosal lesions, such as polyps and adenomas, during standard white-light endoscopy procedures. It processes live video images, highlighting areas of interest to support accurate diagnoses and improve patient outcomes. The device is compatible with major endoscopic processors and integrates seamlessly into existing clinical workflows. It has received FDA clearance and is marketed worldwide by Medtronic.

United States
Europe
Australia
Canada
Switzerland
Singapore
Israel
UAE
United Kingdom

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

Ireland
United States
Switzerland
Italy
Germany
United Kingdom
France
Spain
Netherlands
Australia

Real-time detection of colorectal lesions

Compatibility with standard white-light endoscopy systems

Compatible with multiple FDA-cleared standard video endoscopy systems

Real-time lesion detection with visual markers

Improved detection performance over standard colonoscopy

Supports various video processors (Fujifilm VP-7000, Olympus CV-180/190, Pentax EPK-i7000)

Enhanced AI capabilities with NVIDIA IGX Orin™ and NVIDIA Holoscan™ technologies

Developer program for AI app integration

Real-time performance during medical procedures

GI Genius™ Module 200
ColonPRO™ 4.0 software

Medtronic's healthcare system integration

Medtronic's quality metric standardization

Standard white-light endoscopy systems, compatible video processors

Data encryption
Role-based access control (RBAC)
Audit logs
Secure data transmission
User authentication
Data integrity checks
Access control policies
Data anonymization
Secure software updates
Compliance with security standards

Data anonymization
Data minimization
User consent management
Data access controls
Data retention policies
Compliance with privacy regulations
Secure data storage
Data masking
User data rights management
Privacy impact assessments

Elisabeth Diana Juliet Rachel Alex Martha

Cosmo is amazing! We took the trial class, and the tutor is so patient with my daughter. I'm so happy to see how her confidence grew just after one class.

My son is struggling with Math and my friend recommended Cosmo. The tutor is not only knowledgeable, but knows how to motivate my son. We are definitely going to sign up for regular classes with him!

After a few classes, my daughter's grades have improved. Will definitely recommend Cosmo to other parents!

Julie is an amazing teacher and we really like her! She is very kind-hearted and patient. She also explains math problems very clearly every time, and my daughter has been doing better and better on her math exams. Thanks Julie!!

This is the best platform for 1-on-1 classes! They provide unlimited access to playbacks of previous classes, so my daughter can review them whenever she wants. She enjoys having classes with her tutor.

My educational consultant is very responsible. He recommended a tutor who would be the best fit according to my son's personality and learning level. And whenever we have any questions, he is always there to help.

4.9 out of 5 (Elisabeth)
5.0 out of 5 (Diana)
4.9 out of 5 (Juliet)
5.0 out of 5 (Rachel)
4.9 out of 5 (Alex)
5.0 out of 5 (Martha)


CADDIE is a cloud-based AI system developed by Odin Medical to assist gastroenterologists in detecting and characterizing colorectal polyps during colonoscopy procedures, enhancing early detection of colorectal cancer. It analyzes colonoscopy video in real-time, providing visual markers to alert endoscopists to potential polyps, which they can then review and confirm based on their medical judgment. The system integrates with Olympus' EVIS X1 and EVIS EXERA III endoscopy systems, offering seamless adoption into clinical practice. CADDIE received FDA 510(k) clearance in September 2024 and CE marking in October 2024, indicating its regulatory approval in the U.S. and Europe. A multi-center randomized controlled trial demonstrated its efficacy, showing significant increases in detection rates for various lesion types without increasing procedural risks or duration. The system is designed to be user-friendly, requiring minimal training and allowing hands-free interaction during procedures. It is intended to complement, not replace, comprehensive patient evaluations and is limited to use with standard white-light endoscopy imaging only.

Clinicians
Gastroenterologists
Endoscopists
Medical Professionals

Gastroenterology
Colorectal Surgery
Oncology
Endoscopy
Medical Imaging
Artificial Intelligence In Healthcare
Medical Device Technology
Cloud Computing In Healthcare
Regulatory Affairs In Medical Devices
Healthcare It

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

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

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

AI-driven detection of colorectal polyps

Visual markers for suspected polyp locations

Cloud-based software with remote updates

Integration with standard white-light endoscopy systems

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


Summary: MICSI-RMT is a software suite developed by Microstructure Imaging to enhance MRI image quality by reducing noise and improving signal clarity, particularly in diffusion and functional MRI scans.

MICSI-RMT employs a random matrix theory-based algorithm to significantly improve MRI image quality through the redundancy of the MRI exam. Unlike traditional AI methods, MICSI-RMT achieves these remarkable results without the need for external training data or high-performance GPUs. Additionally, MICSI-RMT includes processing modules that support weighted linear least squares and Bayesian fitting techniques to facilitate quantitative analysis of diffusion weighted imaging. Lastly, MICSI-RMT features cutting edge DICOM data routing ensuring securing and seamless integration into medical workflows.

radiologists
neuroimaging specialists
MRI technicians
medical imaging professionals
healthcare providers
research institutions
hospitals
clinics
medical imaging centers
academic medical centers

Neurology
Radiology
Neuroimaging
Functional Mri
Diffusion Mri
Medical Imaging
Neuroscience
Brain Imaging
Clinical Research
Medical Diagnostics

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

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

Denoising of diffusion and functional MRI images

Weighted linear least squares processing


Summary: Rayvolve is an AI-powered diagnostic tool developed by AZmed that assists radiologists in detecting fractures and thoracic pathologies in X-ray images, enhancing diagnostic accuracy and workflow efficiency.

Rayvolve is an AI-driven diagnostic solution designed to identify fractures and thoracic pathologies in X-ray images for both pediatric and adult patients. It integrates seamlessly into existing radiology workflows, providing rapid analysis and annotation of images to support clinicians in accurate and timely diagnoses. The tool has received FDA 510(k) clearance and CE marking, demonstrating its compliance with regulatory standards. Clinical studies have shown that Rayvolve improves diagnostic accuracy and reduces interpretation time, thereby enhancing patient care and operational efficiency in medical imaging.

Clinicians
Radiologists
Emergency Physicians
Healthcare Professionals

Musculoskeletal Radiology
Thoracic Radiology
Pediatric Radiology
Emergency Medicine

United States
European Union
France
United Kingdom
Germany
Italy
Spain
Netherlands
Belgium
Switzerland
Austria
Sweden
Denmark
Norway
Finland
Poland
Czech Republic
Slovakia
Hungary
Romania

English French German Italian Spanish Dutch Swedish Danish Norwegian Finnish Polish Czech Slovak Hungarian Romanian

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

Fracture detection
Joint dislocation detection
Joint effusion assessment
Thoracic abnormality detection
Standardized orthopedic measurements
Pediatric bone age estimation
Automated report prefill
RIS integration
PACS integration
AI-driven triage
Clinical decision support
Workflow optimization
Clinical validation studies
FDA 510(k) clearance
CE marking
HIPAA compliance
GDPR compliance
Data encryption
Audit logs
Single Sign-On (SSO)

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

FDA 510(k)
CE marking
ISO 27001
SOC 2 Type II

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

Data anonymization
Data minimization
Consent management
Data residency options


Summary: SANSA Home Sleep Apnea Test is a wireless, FDA-cleared diagnostic patch that simplifies sleep apnea testing by eliminating wires and smartphone apps, offering real-time data transmission via cellular connectivity.

SANSA is a chest-worn diagnostic patch designed to aid in the evaluation of sleep-related breathing disorders in adults suspected of obstructive sleep apnea (OSA). It integrates sensors to measure key physiological signals such as blood oxygen saturation, heart rate, respiratory effort, snoring, and sleep staging. The device has received FDA clearance and has been validated in clinical trials, demonstrating high accuracy and patient comfort. SANSA's cellular data upload capability allows for near real-time data transmission to healthcare providers, streamlining the diagnostic process. The device is intended for home use, eliminating the need for additional attachments, wires, belts, or hoses, and is designed for easy self-application by patients. It is also validated for use across diverse skin tones, enhancing its applicability in varied patient populations.

patients
clinicians
sleep specialists
healthcare providers

Pricing details are not publicly disclosed; interested parties should contact Huxley Medical directly for information.

Hands-free, wire-free, app-free operation

Measures nine physiological channels: oximetry, respiratory effort, sleep/wake staging, ECG, heart rate, chest movement, snoring, body position, actigraphy

Validated in a 340-patient clinical trial

High accuracy, sensitivity, and specificity in sleep apnea detection

Improved patient compliance and comfort due to non-invasive nature

Excellent performance across all skin tones

Real-time data transmission to healthcare providers

No need for Bluetooth pairing or smartphone apps

Comfortable, gentle adhesive for easy placement and removal

Holistic assessment of cardiopulmonary health

Designed for adult patients aged 22 and older

Supports diagnosis of mild, moderate, and severe sleep apnea

Enables efficient workflows for sleep physicians and technicians

ECG
Oximetry
Actigraphy
Sleep Staging
Respiratory Effort
Chest Movement
Snoring
Body Position
Heart Rate


Summary: Hutom's RUS is an AI-powered surgical navigation platform that transforms 2D CT images into 3D anatomical models, enhancing surgical precision and patient outcomes.

RUS (Reshaping and Unraveling Surgery) is an AI-driven surgical navigation platform developed by Hutom. It converts 2D CT images into interactive 3D anatomical models, assisting surgeons in preoperative planning and intraoperative navigation. Key features include automatic organ segmentation, calibration of veins and arteries, and modeling to predict abdominal changes during surgery. The platform comprises RUS for 3D visualization, ViHub for surgical video data analysis, and SurgGram for post-operative review. RUS has received FDA 510(k) clearance for 'RUS Stomach' and is actively used in major hospitals in Korea. In May 2024, Hutom entered into a co-promotion agreement with Johnson & Johnson MedTech Korea to expand the use of RUS for gastric and kidney cancer surgeries. The company has also participated in international events like the 'CMEF 2025' in Shanghai, showcasing its AI-based 3D surgical navigation technology. Additionally, RUS won the 2024 Red Dot Design Award in the Design Concept | Interaction, UI, and User Experience category, highlighting its intuitive interface and user-centered design.

Surgeons
Hospitals
Medical Professionals

Gastric Cancer Surgery
Kidney Cancer Surgery
General Surgery
Robotic Surgery
Laparoscopic Surgery
Oncology
Abdominal Surgery
Thoracic Surgery
Urology
Gastroenterology

South Korea
United States
China
Asia
Global

Electronic Health Records (EHR)
Patient Management
Clinical Decision Support
Telemedicine Integration
Appointment Scheduling
Billing and Coding
Inventory Management
Reporting and Analytics
Patient Portal
Mobile Access
Data Encryption
Role-Based Access Control (RBAC)
Audit Trails
Multi-Factor Authentication (MFA)
Secure Cloud Storage
Data Anonymization
Compliance Monitoring
Interoperability with EHRs
Medical Device Integration

Advanced Reporting
Customizable Dashboards
Patient Engagement Tools
Population Health Management
Clinical Research Support
Mobile Health Applications
Remote Patient Monitoring
Artificial Intelligence (AI) Analytics
Blockchain for Data Security
Voice Recognition Integration

Epic
Cerner
PACS
Billing Systems
Laboratory Information Systems (LIS)
Pharmacy Management Systems
Medical Imaging Devices
Patient Monitoring Devices
Wearable Health Devices
Telehealth Platforms

FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
LOINC
CPT
ICD-11
HL7 CDA
HL7 CCD

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

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

FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971
SOC 2 Type II
ISO 27001
ISO 9001
ISO 14001
ISO 45001

Encryption
RBAC
SSO/SAML
Audit Logs
2FA
DLP
Zero Trust Architecture
Endpoint Security
Network Security
Intrusion Detection Systems

BAA available
Consent Management
Anonymization
Data Minimization
Data Masking
Data Segregation
Data Retention Policies
Data Access Controls
Data Portability
Data Integrity


Summary: FIREFLY Technology by Mighty Oak Medical offers patient-specific, 3D printed navigation guides to enhance accuracy and safety in spinal surgeries.

FIREFLY Technology provides a comprehensive solution for spinal surgery by delivering customized pre-surgical planning, patient-specific 3D printed navigation guides, and anatomical models. This approach aims to improve surgical precision, reduce radiation exposure, and decrease operating time and costs. The system is compatible with various pedicle screw systems, offering versatility for surgeons. Additionally, the technology has been FDA-cleared and is utilized in both adult and pediatric spinal procedures, including complex deformity cases and scoliosis treatments.

clinicians
surgeons
biomedical designers
hospital staff
pediatric orthopedic surgeons

Spinal Surgery
Orthopedics
Pediatric Orthopedics
Scoliosis Treatment
Complex Spinal Deformities

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

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

Patient-specific 3D printed pedicle screw navigation guides

Pre-surgical planning with predictive implant sizes and trajectories

Open platform compatible with various pedicle screw systems

Reduced intraoperative radiation exposure

Enhanced surgical accuracy and efficiency

Multi-level, uni-lateral, and bi-lateral guide options

Autoclavable bone models for preoperative evaluation and intraoperative reference

Midline Navigation Guides
S2-AI Navigation Guides

Data encryption in transit and at rest
Access controls
Audit trails

Shriners Children’s Southern California
Virginia Mason Medical Center
Restore Orthopedics and Spine Center
Cleveland Clinic

The FIREFLY system has been a game changer for my practice, allowing accurate preoperative planning and intraoperative navigated pedicle screw placement without the hassle or cost of a dedicated navigation system and intraoperative tomography device.

FIREFLY has allowed me to tackle the most complex spinal deformity faster and with greater accuracy in placement of screws in rotated and atretic pedicles that I used to skip.

I use FIREFLY Patient-Specific Guides in all of my complex cases. The presurgical planning that Mighty Oak does is superb, providing detailed analytics regarding each patient’s spinal anatomy.

FIREFLY patient-specific, 3D printed drill guides have dramatically reduced surgical times while improving accuracy in pedicle screw placement in very complex anatomic situations. The anatomical models are also a significant value add for intraoperative decision making. FIREFLY has become an indispensable part of my toolkit for complex spine deformity surgery.

FDA clearance for patient-specific 3D-printed navigation guides

FDA clearance for S2AI Guide for sacroiliac fixation

CE-mark for 3D printed medical models and surgical guides

FDA clearance for compatibility with all currently cleared pedicle screw systems

FDA clearance for use in pediatric patients

FDA clearance for T1-S2/ilium indications

FDA clearance for single-use and scalable system

FDA clearance for open platform compatibility

FDA clearance for reduced intraoperative radiation exposure

FDA clearance for improved OR efficiency


Summary: SubtleSYNTH is an AI-powered software by Subtle Medical that generates synthetic STIR MRI images from existing T1 and T2 weighted contrasts, reducing scan times and enhancing image quality.

SubtleSYNTH utilizes deep learning to produce synthetic STIR images without additional acquisition time, complementing Subtle Medical's SubtleMR software. It has received FDA clearance for spinal imaging and is expanding to brain and musculoskeletal imaging. The technology aims to improve MRI efficiency and patient care by reducing scan durations and maintaining high image quality.

radiologists
MRI technologists
healthcare administrators

Spinal Imaging
Brain Imaging
Musculoskeletal Imaging

AI-driven synthetic STIR image generation from T1 and T2 weighted contrasts

Zero acquisition time for synthetic STIR images

Interchangeability with conventionally acquired STIR images

Complementary to SubtleMR™ for accelerated MRI procedures

Subtle-ELITE package bundling (SubtleHD, SubtleSYNTH, SubtleALIGN)

PACS
DICOM
Siemens MRI scanners
GE MRI scanners
Philips MRI scanners
Hitachi MRI scanners

DICOM network connectivity to PACS; edge appliance runs on Linux; cloud SaaS option available; firewall/DICOM port access required

HIPAA
SOC 2 Type II
ISO/IEC 42001
FDA 510(k)
CE Mark
ISO 13485
IEC 62304
ISO 14971
MDSAP
MDR 2017/745

TLS encryption in transit
Encryption at rest
Role-based access control (RBAC)
Audit logging
SSO/SAML support
Two-factor authentication (2FA)

Data minimization/anonymization options for research workflows

Global deployments with region options (US and EU hosting/enterprise on-prem appliance or hybrid deployments)


Summary: SMART28 is a comprehensive platform designed to enhance foot and ankle surgical procedures through advanced pre-operative planning, intra-operative support, and post-operative evaluation, integrating artificial intelligence and 3D modeling technologies.

SMART28 is a comprehensive platform developed by Paragon 28 to improve foot and ankle surgical procedures. It offers pre-operative planning, intra-operative support, and post-operative evaluation by integrating artificial intelligence, data analytics, patient-specific algorithms, and 3D modeling technologies. The platform enables surgeons to plan cases, coordinate surgery dates, submit patient imaging, and communicate directly with the engineering team, streamlining the surgical workflow and enhancing patient outcomes.

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

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

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

Direct communication with engineering team

Advanced analytics
Integration with hospital EHR systems
Mobile application support

BAA available
Consent management
Anonymization
Data minimization

SMART28 has significantly streamlined our surgical planning process, enhancing efficiency and accuracy.

The integration of AI and 3D modeling in SMART28 has transformed our approach to foot and ankle treatments.

We appreciate the seamless communication between our surgical team and the engineering team facilitated by SMART28.

The SMART28 portal's user-friendly interface has made scheduling and organizing surgical cases much more manageable.

Since implementing SMART28, we've seen a noticeable improvement in case tracking and monitoring.


Summary: Hyper Insight - ICH is an AI-powered mobile application developed by SK Inc. to assist clinicians in the rapid assessment of suspected intracranial hemorrhages (ICH) through analysis of brain CT images, providing timely notifications and facilitating collaboration with medical specialists.

Hyper Insight - ICH is a mobile application designed to support clinicians in the swift evaluation of suspected acute stroke events. Utilizing deep learning-based AI algorithms, it analyzes non-contrast brain CT images to identify potential intracranial hemorrhages, sending notifications to medical specialists for further review. The app includes a mobile DICOM viewer for accessing patient imaging and medical data, and features in-app communication tools to enhance clinical collaboration. It is intended solely for notification purposes and is not a diagnostic tool, emphasizing the importance of comprehensive patient assessment by medical professionals. The application is available for Android devices and is developed by PurpleAI Inc., with a privacy policy in place to protect personal and health-related information in accordance with applicable laws, including HIPAA. The app is available for download on Android devices and is developed by PurpleAI Inc., with a privacy policy in place to protect personal and health-related information in accordance with applicable laws, including HIPAA. ([hi-ppai-dev.lfin.kr](https://hi-ppai-dev.lfin.kr/privacy.html?utm_source=openai))

clinicians
radiologists
emergency physicians
medical specialists
healthcare providers

Neurology
Radiology
Emergency Medicine
Neurosurgery
Critical Care
Stroke Care
Neuroimaging
Trauma Care
Intensive Care
Neurocritical Care

United States
South Korea
Europe
Asia
Africa
Australia
Canada
Mexico
Brazil
Argentina
Chile
Colombia
Peru
Venezuela
Ecuador
Paraguay
Uruguay
Bolivia
Guyana
Suriname

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

Free to download and use; no subscription or purchase required.

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

Secure messaging
Pager replacement
On-call scheduling
Code team activation
Contact directory
Admin controls
Analytics dashboard

PointClickCare
Connexall
Mesh AI
Zebra Technologies


Summary: VEA Align is a cloud-based software by EOS imaging that utilizes 2D X-ray images to assist healthcare professionals in assessing global alignment in orthopedic patients, applying machine learning algorithms to automatically place anatomical landmarks for precise angle and length measurements.

VEA Align is a cloud-based software developed by EOS imaging that uses 2D X-ray images acquired from EOS imaging systems to assist healthcare professionals in assessing global alignment in orthopedic patients. It applies machine learning algorithms to automatically place anatomical landmarks on images, helping clinicians analyze spinal deformities, degenerative diseases, and lower limb disorders with precise angle and length measurements. It supports both pediatric and adult patients and enhances clinical decision-making through interactive landmark adjustment and comparison to normative values.

clinicians
radiologists
orthopedic surgeons
pediatricians
general practitioners
medical imaging specialists
healthcare professionals

Orthopedics
Radiology
Pediatrics
General Medicine
Sports Medicine
Geriatrics
Musculoskeletal Disorders
Spinal Deformities
Degenerative Diseases
Lower Limb Disorders
Bone Health
Joint Health
Muscle Health
Rehabilitation
Physical Therapy
Sports Injuries
Trauma Care
Surgical Planning
Patient Assessment
Medical Imaging

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

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

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

Cloud-based software for orthopedic applications

Assesses global alignment using 2D X-ray images

Applies machine learning algorithms for anatomical landmark detection

Supports analysis of spinal deformities, degenerative diseases, and lower limb disorders

Provides precise angle and length measurements

Compares patient data to normative values

Supports both pediatric and adult patients

EOS imaging systems (EOS, EOSedge)
VEA Portal


Summary: eCARTv5 Clinical Deterioration Suite is an AI-driven software that continuously assesses hospitalized patients' risk of deterioration, aiding clinicians in early intervention decisions.

eCARTv5 Clinical Deterioration Suite is an AI-powered software as a medical device (SaMD) developed by AgileMD. It utilizes machine learning algorithms to continuously evaluate hospitalized patients' risk of impending death or intensive care unit (ICU) transfer. Integrated directly into electronic health records (EHR), eCARTv5 analyzes up to 97 real-time variables, including laboratory results, vital signs, and nursing assessments, to generate an eCART score and risk designation. This assists medical staff in promptly and accurately identifying patients requiring increased medical attention. The software has been validated through extensive clinical performance data from nearly two million hospitalizations across 21 hospitals, ensuring consistent accuracy across diverse patient demographics and medical conditions. eCARTv5 is the result of over a decade of research at the University of Chicago and has received FDA 510(k) marketing clearance for its clinical use. ([businesswire.com](https://www.businesswire.com/news/home/20240625599976/en/AgileMD-receives-FDA-clearance-for-eCART-to-predict-in-hospital-clinical-deterioration-across-medical-conditions?utm_source=openai))

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

AI-driven clinical deterioration prediction

Embedded into electronic health records (EHR)

Provides eCART score and risk designation

Guides clinical staff to embedded clinical pathways

Supports all-cause clinical deterioration prediction

Ensures consistent accuracy across diverse patient demographics

Guides clinical staff to clinical pathways


Summary: Tempus ECG-Low EF is an AI-powered software that analyzes 12-lead ECG recordings to identify patients at risk for low left ventricular ejection fraction (LVEF), aiding early detection of heart failure.

Tempus ECG-Low EF utilizes machine learning algorithms to process resting, non-ambulatory 12-lead ECG recordings from patients aged 40 and older, detecting signs associated with LVEF ≤40%. It integrates with existing ECG platforms and EHRs, providing a binary output to assist clinicians in early identification of heart failure risk. The software is not intended as a standalone diagnostic tool and should be used in conjunction with other clinical information. It received FDA 510(k) clearance on July 16, 2025.

Clinicians
Cardiologists
Healthcare Providers

AI-powered analysis of 12-lead ECG recordings

Detection of low left ventricular ejection fraction (LVEF ≤40%)

Integration with existing ECG platforms and EHRs

Patient filtering based on clinical data

Identification of patients at risk for heart failure

Non-invasive assessment of cardiac function

Scalable deployment within clinical workflows

Support for clinicians in early detection of cardiovascular conditions

Not intended as a stand-alone diagnostic tool

Positive results suggest need for further clinical evaluation

Provides binary output for interpretation

Results should be interpreted with other diagnostic information

Supports clinicians in identifying patients at risk for serious cardiovascular conditions

Designed to work with existing ECG platforms

Provides clinicians with tools to detect low LVEF at scale

Reflects Tempus' commitment to advancing AI-driven cardiology

Data encryption
Access controls
Audit logs

Data anonymization
Patient consent management


Summary: Medihub Prostate is an AI-driven software developed by JLK Inc. to assist in diagnosing prostate cancer by analyzing MRI images and PSA levels.

Medihub Prostate is an AI-based diagnostic solution that analyzes prostate MRI images and assesses prostate-specific antigen (PSA) levels to aid in the detection of prostate cancer. Developed by JLK Inc. in collaboration with Seoul Asan Medical Center and the University of Missouri, it received FDA 510(k) clearance on June 21, 2024. The software semi-automatically outlines the prostate region in MRI images, requiring user editing and confirmation, and provides multiparametric MRI viewing and combined image visualization. It is intended for use by trained radiologists and urologists to support clinical decision-making without replacing expert judgment. The device has been validated for use with Siemens 3T Vida and Skyra MRI machines and is designed for patients aged 55 years and above. The software is accessible via a web browser and integrates multiple MRI sequences into single images, outputting structured reports including PI-RADS scores. Medihub Prostate has also secured a domestic technology patent in South Korea, further validating its technological excellence.

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

Cloud, hybrid, and on-premises deployment options

Advanced analytics
Reporting tools
Patient management
Clinical decision support
Telemedicine integration
Data visualization
Workflow optimization
Mobile access
Cloud storage
Data backup solutions

PACS
AI marketplaces
Web-based standalone applications

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

HIPAA
GDPR
ISO 27001
SOC 2
FDA 510(k)
CE (MDD) Class I
ISO 13485
IEC 62304
IEC 60601-1
IEC 62366-1

FDA 510(k)
CE (MDD) Class I
ISO 13485
IEC 62304
IEC 60601-1
IEC 62366-1
ISO 27001
SOC 2
HIPAA
GDPR

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Firewall
Intrusion detection system
Data masking
Secure coding practices

BAA available
Consent management
Anonymization
Data minimization
Data residency controls
Access controls
Data retention policies
User authentication
Data integrity checks
Regular security audits


Summary: SIS Complete is a comprehensive cloud-based software solution designed to streamline operations for ambulatory surgery centers (ASCs), integrating management, clinical documentation, patient engagement, and physician mobile capabilities into a single platform.

SIS Complete offers a unified platform for ASCs, combining management tools, clinical documentation, patient engagement, and physician mobile capabilities to enhance efficiency and patient care. Key components include SIS Office™ for ASC management, SIS Charts™ for clinical documentation, SIS Charts Physician Mobile for physician access, SIS Charts Tracker for patient tracking, and SIS Exchange™ for patient engagement. The platform is cloud-based, ensuring seamless integration and real-time data access across all functionalities.

clinicians
nurses
patients
admins
physicians
anesthesiologists
schedulers
revenue cycle staff
coders
IT managers

Orthopedics
Ophthalmology
Gastroenterology
Ent
Urology
General Surgery
Pain Management
Plastic Surgery
Ambulatory Surgery

ASC management
Clinical documentation
Patient engagement
Physician mobile capabilities
Scheduling
Insurance verification
Registration
Billing
Payment posting
Accounts receivable
Collections
Inventory management
Nursing documentation
Physician documentation
Anesthesia documentation
Email communications
Text communications
Patient engagement tools

SIS Charts
SIS Charts Physician Mobile
SIS Charts Tracker
SIS Exchange

Anesthesia systems
Devices
Electronic Health Records (EHR)
Health Information Exchange (HIE)
Image Capture systems
Implant Billing and Coordination
Inventory Management systems
Lab systems
Marketing & Reputation Management tools
Medicine Cabinet systems
Orthopedic Solutions
Patient Engagement platforms
Practice Management systems
Radiology systems
Revenue Cycle Management tools
Surveys / Outcome Management systems
Transcription services

HIPAA
SOC 2 Type II
HITRUST Implemented, 1-year (i1)

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

Surgical Information Systems (SIS) clients

User friendly software. It will give you two options cases to code & charge entry. It is useful from coder we can directly enter charges. Once it enters charge screen just audit for minor changes and submit.

Absolutely the worst service we have ever had in over 20 years of the surgical center business. Terrible service. After one year they still never delivered a product.

Epic Systems
Cerner Corporation
McKesson Corporation
Allscripts Healthcare Solutions
Meditech
GE Healthcare
Siemens Healthineers
Philips Healthcare
IBM Watson Health
Oracle Health Sciences
SAP Health
Microsoft HealthVault
Google Health
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Dell Technologies
HP Enterprise
Cisco Systems
VMware


Summary: Relu Creator is an AI-driven dental software that automates the creation of 3D anatomical models from patient scans, enhancing precision and efficiency in dental diagnostics and treatment planning.

Relu Creator is a cloud-based AI-assisted segmentation software designed for dental and maxillofacial imaging. It enables users to generate accurate 3D anatomical models from CBCT scans and digital impressions in under 15 minutes, significantly reducing manual segmentation time. The software offers features such as automatic alignment of multiple scans, manual tools for segmentation and measurements, and the ability to upload and align third-party 3D models. It operates on a pay-per-case pricing model, with credits starting from €1 and volume discounts available. The first five uploads are free, and the platform is accessible from anywhere with an internet connection, eliminating the need for physical file storage. Relu Creator has received FDA 510(k) clearance and CE Mark approval, ensuring compliance with international medical device standards. Founded in 2019, Relu is headquartered in Leuven, Belgium, with an office in Boston, MA, USA.

dentists
dental surgeons
orthodontists
dental labs
maxillofacial surgeons
dental researchers
dental educators

Dentistry
Orthodontics
Maxillofacial Surgery
Dental Research
Dental Education

United States
European Union
Belgium
Asia
Europe
North America

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

Credits available from €1 with a progressive volume discount. First five uploads are free.

Automated CBCT segmentation of mandible, skull, and mixed dentition

Alignment and fusion of CBCT and digital impressions

Automated design of night guards with anatomical accuracy

Design of surgical guides for implant planning

Batch processing of over 200 files simultaneously

Integration with OnyxCeph, Meshmixer, and other dental software

Cloud-based access with no installation required

User-friendly interface requiring no training

Secure and compliant with medical device standards

Verified User in Computer & Network Security

Great work and highly recommended! Will hire again!

Honestly, I can say I’m happy to work with them.

Data Innovation Team Review: Scraping Success, App Development, and Automation Excellence