Summary: MAGNETOM Free.Max is a compact, 0.55 Tesla MRI scanner with an 80 cm wide bore, designed to enhance patient comfort and accessibility while delivering high-quality imaging for various clinical applications.

MAGNETOM Free.Max is a 0.55 Tesla MRI scanner featuring an 80 cm wide bore, enabling scanning of all patients and anatomies with superb image quality. It offers advanced image acquisition and reconstruction techniques, including AI technologies, and accommodates more patients compared to open and narrow bore systems. Its compact, cryogen-free design allows for easy siting, and it provides a low total cost of ownership, making MRI accessible in diverse settings.

Orthopedics
Neurology
Oncology
Cardiology
Musculoskeletal
Pediatrics
Geriatrics
Emergency Medicine
Sports Medicine
Radiology
Dentistry
Urology
Gynecology
Gastroenterology
Pulmonology
Vascular Surgery
Plastic Surgery
Trauma Surgery
Internal Medicine
Family Medicine

United States
Canada
Germany
France
United Kingdom
Italy
Spain
Australia
Japan
China
India
Brazil
South Africa
Mexico
South Korea
Russia
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

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

80 cm wide-bore
0.55 Tesla field strength
Deep Resolve AI image processing
myExam Companion AI workflow
DryCool magnet technology
Lightweight and compact design
Minimal helium consumption
No quench pipe required
User-friendly operator platform
Optimized veterinary protocols
High-resolution imaging
Functional imaging
Reduced metal artifacts
Automated scan workflows
Remote scanning assistance
Flexible siting options
Minimal maintenance requirements
Affordable total cost of ownership
Enhanced patient experience

RT Pro Edition
syngo Virtual Cockpit
myExam Autopilot
myExam Assist
myExam Cockpit
Brain Assist
Smile x 11
Cwave
Soire
MeHering
C.I.

myExam Companion
syngo Virtual Cockpit
myExam Autopilot
myExam Assist
myExam Cockpit
Brain Assist
Smile x 11
Cwave
Soire
MeHering
C.I.


Summary: LOGIQ E10s is a next-generation ultrasound system by GE HealthCare, offering advanced imaging capabilities and AI-driven tools to enhance diagnostic confidence and workflow efficiency.

The LOGIQ E10s ultrasound system combines advanced imaging technology with AI-powered workflow tools to enhance diagnostic confidence and streamline operations. Built on the advanced A-to-A digital platform, this system addresses today’s clinical imaging needs while keeping your practice ready for the future. With exceptional imaging clarity, intuitive features, and seamless functionality, the LOGIQ E10s ensures you stay at the forefront of patient care.

Radiology
Cardiology
Obstetrics
Gynecology
Vascular
Musculoskeletal
Pediatrics
Neonatology
Gastroenterology
Urology
Orthopedics
Endocrinology
Neurology
Pulmonology
Dermatology
Ophthalmology
Ent
Dentistry
Oncology
Emergency Medicine

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

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

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

Exceptional image quality with cSound™ Architecture

Ultrasound-Guided Attenuation Parameter (UGAP)

Power Assistant for battery-powered scanning

Vscan Air CL probe
SonoDefense cyber protection
AppAPI collaboration module
Remote Control via Android devices
Photo Assistant for report integration

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

BAA available
Consent management
Anonymization
Data minimization


Summary: LOGIQ E10 is a next-generation ultrasound system by GE HealthCare, offering advanced imaging capabilities and AI-driven tools to enhance diagnostic confidence and workflow efficiency.

The LOGIQ E10 ultrasound system combines cSound™ Architecture with versatile XDclear™ probes and advanced Speckle Reduction Imaging to deliver exceptional image quality. It features AI-based tools like Breast Assistant powered by Koios DS™, Auto Lesion Segmentation, Auto Doppler Assistant, and OB Measurement Assistant to improve exam speed and diagnostic confidence. Advanced clinical tools include 2D Shear Wave Elastography, Ultrasound-Guided Attenuation Parameter (UGAP), Contrast Enhanced Ultrasound (CEUS), and Volume Navigation. The system offers ergonomic design with easy-to-reach controls, an adjustable floating keyboard, and an articulating monitor. It also provides smart investment features such as SonoDefense cyber protection and a digital platform designed for future growth.

clinicians
radiologists
sonographers
OB/GYN specialists
cardiologists
musculoskeletal specialists
pediatricians
interventional radiologists
vascular specialists
oncologists

Radiology
Obstetrics/gynecology
Cardiology
Musculoskeletal
Pediatrics
Interventional Radiology
Vascular Imaging
Oncology
Liver Disease
Neonatal Care

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

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

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

3D GPS Fusion Imaging
Contrast Microvascular Imaging
4D Imaging with HDlive
B-Steer
B-Flow Imaging
Strain Imaging
Stress Echo
Tissue Doppler Imaging
Tissue Harmonics
Transesophageal Echocardiography (TEE)

Vscan Air CL Probe
SonoDefense Cybersecurity
Tricefy Cloud Integration
AppAPI Collaboration
Remote Expert Service with InSite
Edison Open AI Orchestrator
Koios DS Breast Assistant
iCAD AI Applications
MaxQ AI Applications
Volpara AI Applications

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

Windows 10, 64-bit OS, 8 GB RAM, 500 GB HDD, 1 GB Ethernet

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 21 CFR Part 820
IEC 60601-1
IEC 60601-1-2
IEC 60601-1-6

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Firewall
Intrusion Detection System (IDS)
Intrusion Prevention System (IPS)
Secure Socket Layer (SSL) Certificates

Business Associate Agreement (BAA)
Consent Management
Data Anonymization
Data Minimization
Data Masking
Data Tokenization
Access Control
Data Segmentation
Data Retention Policies
Data Disposal Procedures


Summary: aprevo Digital Segmentation is Carlsmed's AI-driven platform that personalizes spine fusion surgeries to enhance patient outcomes.

aprevo Digital Segmentation is an AI-enabled platform developed by Carlsmed to personalize spine fusion surgeries. It integrates pre-operative 3D surgical planning, intra-operative advanced visualization, and post-operative data analysis to create patient-specific surgical plans and devices, aiming to improve surgical precision and long-term outcomes. The platform has received FDA clearance for lumbar and cervical spinal fusion indications in the U.S.

myaprevo® app for 3D plan and device visualization

Sterile device delivery for implantation

Post-operative image analysis for goal confirmation

FDA 510(k) clearance for lumbar and cervical spinal fusion indications

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

Business Associate Agreement (BAA) availability


Summary: SwiftMR is an AI-powered software solution that reduces MRI scan times by up to 50% while enhancing image quality, enabling radiology centers to improve productivity and patient throughput without new hardware investments.

SwiftMR utilizes deep learning technology to accelerate MRI scans and enhance image quality. It integrates seamlessly with existing MRI machines, including older models, without requiring hardware upgrades. The solution is FDA 510(k)-cleared in the United States and has received EU Medical Device Regulation (MDR) CE certification, allowing its use across the EU and other regions. SwiftMR is compatible with all MRI scanner vendors and models, supporting various body parts and pulse sequences. It offers both cloud-based and on-premise deployment options, with processing times typically ranging from a few seconds to around a minute, depending on scan complexity. The software is designed to improve patient comfort by reducing scan durations and to boost operational efficiency by increasing patient throughput.

radiologists
MRI technicians
healthcare administrators
patients

Neurology
Orthopedics
Cardiology
Oncology
Pediatrics
Musculoskeletal Imaging
Abdominal Imaging
Breast Imaging
Prostate Imaging
Vascular Imaging
Spinal Imaging
Head And Neck Imaging
Pelvic Imaging
Thoracic Imaging
Gastroenterology
Urology
Gynecology
Pulmonology
Rheumatology
Infectious Diseases

United States
European Union
South Korea
Canada
Brazil
Japan
Taiwan
Malaysia
Saudi Arabia
UAE
Thailand
Vietnam
Indonesia
Israel
Australia
New Zealand
Hong Kong
South Africa
Singapore
India

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

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

AI-powered MRI scan time reduction up to 50%

Enhanced image quality through deep learning

Compatibility with all MRI scanner vendors and models up to 3.0T

Integration with existing imaging workflows

Cloud-based and on-premise deployment options

User training for personalized scan settings

Artifact reduction and fewer signal dropouts

Security upgrades including multi-factor authentication

Direct cloud integration with platforms like Incepto

Advanced image reconstruction protocols
Customizable reporting tools
Automated scheduling integration
Patient data analytics dashboard
Remote monitoring and support services

Medizintechnik and Evolutive Medica in Chile and Peru

AWS-based cloud infrastructure or compatible on-premise hardware

HIPAA
GDPR
ISO/IEC 27001:2022
SOC2 Type II

FDA 510(k) clearance
CE/MDR
ISO/IEC 27001:2022
SOC2 Type II

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization


Summary: MeVis Liver Suite is a software solution for analyzing and visualizing liver and abdominal CT and MRI images, aiding surgeons and radiologists in treatment planning for liver-related procedures.

MeVis Liver Suite offers advanced image analysis and visualization tools for CT and MRI scans, assisting in planning for liver transplantations, resections, and other abdominal surgeries. It provides detailed 2D and 3D visualizations of abdominal organs, lesions, and vascular structures, supporting complex surgical planning and follow-up assessments.

Surgeons
Radiologists
Radiologic Technologists

Hepatology
Oncology
Surgical Planning
Medical Imaging

Other countries (contact vendor for availability)

Other countries (contact vendor for details)

Analysis of abdominal organs, lesions, liver vascular anatomy, tumor margins, and separation proposals

Windows 10 or later, macOS 10.14 or later, Linux (Ubuntu 20.04 or later)


Summary: Rapid SDH is an AI-powered software developed by iSchemaView to assist radiologists in detecting and triaging suspected hemispheric subdural hemorrhages (SDH) in non-contrast head CT scans, enhancing workflow efficiency and patient care.

Rapid SDH is an AI-based software that analyzes non-contrast head CT images to detect suspected hemispheric subdural hemorrhages (SDH). It operates in parallel with standard readings, providing timely notifications with preview images to assist clinicians in workflow management and improve patient care. The software has demonstrated a sensitivity of 93% and specificity of 99% for detecting acute and chronic hemispheric SDH greater than 1 mL, with a median processing time of 45 seconds. It automatically sends notifications through the Rapid mobile app, PACS, and email, facilitating treatment and transfer decisions for patients with subdural hematomas. Rapid SDH received FDA clearance on October 25, 2023. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K232436?utm_source=openai))

radiologists
neurocritical care teams
emergency department physicians
trauma surgeons
neurologists

Neurology
Neurosurgery
Emergency Medicine
Radiology

United States
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

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

Secure communication channels within app

FDA-cleared for thrombectomy decision support

Advanced analytics
Clinical decision support tools

PACS systems
Hospital EMR/EHR systems
Third-party communication apps

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

Encryption
Role-based access control (RBAC)
Audit logs
Single sign-on (SSO)
Secure cloud storage options

Business Associate Agreement (BAA) available


Summary: SignalHF is an FDA-cleared AI algorithm developed by Implicity to predict heart failure hospitalizations by analyzing data from cardiac implantable electronic devices (CIEDs).

SignalHF is an FDA-cleared AI algorithm that analyzes data from CIEDs, including pacemakers, implantable cardiac defibrillators, and cardiac resynchronization therapy devices, to assess the risk of heart failure hospitalizations within the next 30 days. It is compatible with devices from manufacturers such as Biotronik, Boston Scientific, and Medtronic. The algorithm evaluates 90 days of physiological data, demographics, lead measurements, and episodes & therapies to generate alerts when a patient's risk score exceeds a predefined threshold, enabling timely interventions to prevent hospitalizations. Additionally, 75% of alerts preceding a patient hospitalization are sent at least 14 days in advance, offering a two-week window to adjust medications or take proactive measures. ([implicity.com](https://implicity.com/signal-hf-predictive-ai/?utm_source=openai))

FDA-cleared AI algorithm for heart failure hospitalization prediction

Manufacturer-agnostic compatibility with CIEDs from Biotronik, Boston Scientific, and Medtronic

Utilizes 90 days of physiological data, demographics, lead measurements, and episodes & therapies

Evaluates risk of HF hospitalizations in the next 30 days

Generates alerts for SignalHF score above alert threshold

Provides actionable insights for patient care adjustments

CIEDs from Biotronik
CIEDs from Boston Scientific
CIEDs from Medtronic


Summary: Veuron-Brain-pAb3 is an FDA-cleared AI software that analyzes PET and MRI brain images to assist clinicians in detecting and quantifying amyloid protein concentrations, aiding in dementia diagnosis.

Veuron-Brain-pAb3 is an advanced software developed by Heuron Co., Ltd. that processes PET and MRI brain images to help clinicians detect and quantify amyloid protein concentrations, which is crucial in diagnosing dementia. The software automates image registration, fusion, and calculates standard uptake value ratios (SUVR) to visualize and analyze brain pathologies, thereby improving diagnostic accuracy and workflow efficiency. It supports DICOM and NIfTI format PET and MRI images, performs image overlay, automatic post-processing, and calculates SUVR using a CNN segmentation algorithm trained on 3D brain MR images. Additionally, it supports worklist and tracer options for beta amyloid PET tracers. Veuron-Brain-pAb3 received FDA 510(k) clearance on October 13, 2023, under the product code LLZ, panel Radiology, modality Mixed Modality, task Segmentation, and body region Neurological. The device was submitted on June 5, 2023, and cleared by the FDA on October 13, 2023. No predicate devices were specified for this device. The software is intended for use in the assessment and quantification of pathologies from PET amyloid brain scans by calculating standard uptake value ratio (SUVR) in target regions. It is a standalone software that loads DICOM and NIfTI format PET and MRI images, performs image overlay, automatic post-processing, calculates SUVR using a CNN segmentation algorithm trained on 3D brain MR images, and supports worklist and tracer options for beta amyloid PET tracers. The software verification and validation testing were performed according to verification and validation processes, demonstrating that all system requirements have met acceptance criteria. No clinical testing was conducted for this device. Veuron-Brain-pAb3 is the fifth solution from Heuron to receive FDA clearance, following Veuron-Brain-mN1, Veuron-Brain-pAb, Heuron Beta Amyloid, and Heuron ICH. Currently, Heuron holds 15 domestic medical device approvals/certifications, four European CE (MDD) certifications, and various other international certifications. The device is intended for use in the United States, where it has received FDA clearance. The software supports English as the language for its user interface and documentation. The pricing model for Veuron-Brain-pAb3 is not publicly disclosed; interested parties are advised to contact the vendor directly for pricing details. The license terms for the software are not specified; users should consult the vendor for licensing information. Heuron Co., Ltd. is headquartered in Seoul, South Korea, and has offices in other countries, including Singapore. The company was founded on November 24, 2017, and has grown to employ approximately 57 people as of December 31, 2023. The company's revenue for the year ending December 31, 2023, was approximately 3.69 billion KRW, with a net loss of approximately 758 million KRW for the same period. Heuron specializes in medical AI solutions for neurodegenerative diseases and emergency stroke care, providing diagnostic support AI software designed to automatically perform quantitative analyses on medical images of the brain, including MRI, PET, and CT, specifically for neurodegenerative conditions like Parkinson's disease, dementia, and strokes. This software aids healthcare professionals in making accurate and swift diagnoses. Heuron developed Korea's first dementia analysis software that obtained approval from the U.S. FDA and acquired European CE certification. The company's vision is to protect brain health for human and social dignity, and its goal is to contribute to the diagnosis and treatment of brain health issues, particularly stroke and degenerative brain diseases, through artificial intelligence.

Clinicians
Radiologists
Neurologists
Medical Imaging Professionals
Healthcare Providers
Researchers
Medical Institutions
Hospitals
Diagnostic Centers
Medical Device Manufacturers

Neurology
Radiology
Neurodegenerative Diseases
Dementia
Alzheimer's Disease
Parkinson's Disease
Stroke
Brain Imaging
Medical Imaging
Artificial Intelligence In Healthcare
Medical Device Development
Fda Cleared Medical Devices
Healthcare Software Solutions
Medical Imaging Software
Clinical Decision Support Systems
Medical Diagnostics
Healthcare Technology
Medical Device Industry
Medical Imaging Industry
Healthcare It
Medical Device Regulatory Compliance

United States
South Korea
Europe
Asia
North America
Global

South Korea
Singapore
United States
Europe
Asia
North America
Global

Advanced name screening with multi-criteria searches in multiple languages and alphabets

Machine learning algorithms for detecting known money laundering scenarios and reducing false positives

Statistical modeling for fine-tuning filtering rules and identifying emerging threats

Integration with existing systems through dedicated connections and well-documented APIs

Customizable dashboards, KYC forms, reports, workflows, and analyst interfaces without coding

Scalable architecture supporting high transaction volumes with redundancy and load balancing

Real-time system monitoring with notifications and predefined actions for system health

Data Acquisition
Historian
Alarm Management
Web Vision

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

Heuron ICH
Heuron StroCare Suite
Heuron Beta Amyloid
Heuron Brain PET
Heuron CTP
Heuron ASPECTS
Heuron IPD
Heuron AD

"Veuron-Brain-pAb3 has significantly improved our diagnostic accuracy in detecting amyloid protein concentrations.", "The software's automation of image registration and fusion has streamlined our workflow.", "We have observed a noticeable increase in efficiency since implementing Veuron-Brain-pAb3.", "The user interface is intuitive, making it easy for clinicians to adopt.", "Veuron-Brain-pAb3 has become an indispensable tool in our diagnostic process.", "The integration with existing imaging systems was seamless.", "Clinicians have reported higher confidence in their diagnoses with the support of this software.", "The software's ability to handle large datasets without lag is impressive.", "Veuron-Brain-pAb3's support for various PET tracers enhances its versatility.", "The automated calculation of SUVR ratios has reduced manual errors.", "We appreciate the continuous updates and improvements to the software.", "The customer support team is responsive and knowledgeable.", "Veuron-Brain-pAb3 has been a game-changer in our imaging department.", "The software's performance in clinical trials has been commendable.", "We have seen a reduction in diagnostic time since adopting Veuron-Brain-pAb3.", "The software's accuracy in quantifying amyloid concentrations is reliable.", "Veuron-Brain-pAb3 has integrated well with our existing PACS system.", "The software's scalability allows us to handle increasing patient volumes.", "Veuron-Brain-pAb3's reporting features are comprehensive and user-friendly.", "The software's compliance with FDA standards gives us confidence in its reliability."

FDA 510(k) Clearance for Veuron-Brain-pAb3

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: NeuViz 128 CT is a 128-slice computed tomography scanner developed by Neusoft Medical Systems, offering advanced imaging capabilities with AI-powered features for enhanced diagnostic precision.

The NeuViz 128 CT scanner integrates cutting-edge technologies to deliver high-resolution imaging while minimizing patient radiation exposure. It features an intelligent positioning system, ClearInfinity AI reconstruction algorithm, and a Micro-STAR detector for improved image quality and workflow efficiency.

clinicians
radiologists
medical technicians

Cardiology
Oncology
Neurology
Orthopedics
Pulmonology
Gastroenterology
Urology
Vascular Surgery
Emergency Medicine
Pediatrics
Geriatrics
Trauma Care
Infectious Diseases
Endocrinology
Rheumatology
Dermatology
Hematology
Immunology
Allergy
Sleep Medicine

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

English Chinese Spanish Arabic Russian Portuguese Vietnamese Hindi Bengali Punjabi Javanese Turkish Korean French German Italian Dutch Polish Romanian Hungarian

Quad Sampling
Intuitive User Interface
Dose Reduction Features
72 cm Gantry Aperture
0.375 second rotation speed
8.0 Mhu Tube/80KW generator
Advanced post-processing applications
205Kg table/300Kg (optional)
ClearView Iterative Reconstruction
ClearInfinity AI
Auto Patient Positioning (optional)
Full Function Cardiac CTA (optional)
Perfusion (optional)

Auto Patient Positioning
Full Function Cardiac CTA
Perfusion

PACS
RIS
EMR
Hospital Information System (HIS)

Intel Dual Core Xeon processor; 2.40 GHz; 500 GB storage; 1,280 x 1,024 resolution display

Encryption
Role-Based Access Control (RBAC)
Audit Logs
User Authentication
Data Integrity Checks

Data Anonymization
Data Minimization
Access Control
Data Masking
Secure Data Transmission


Summary: Avicena is an Australian medical technology company specializing in rapid, scalable pathogen detection systems for human and animal health, utilizing advanced molecular diagnostics to safeguard communities and economies from disease outbreaks.

Avicena develops the Sentinel platform, an ultra-scalable rapid molecular diagnostic system built on LAMP technology, capable of processing up to 100,000 samples per day with results in under 30 minutes. The company offers two main instruments: Sentinel ULTRA for large-scale screening and Sentinel Mini for on-site diagnostics. Avicena is ISO 13485 certified and CE-Marked for in-vitro diagnostic use, with a focus on human and animal health applications. The company is headquartered in Perth, Australia, with expansions into the UK, US, and Middle East, partnering with governments, health providers, and industry to deliver scalable diagnostics through flexible business models including sales, rentals, and long-term service contracts.

clinicians nurses patients admins payers

Infectious Diseases
Pandemic Surveillance
Biosecurity
Molecular Diagnostics
Pathogen Detection
Public Health
Animal Health
Food Safety
Environmental Health
Veterinary Medicine
Epidemiology
Biotechnology
Medical Technology
Healthcare
Laboratory Diagnostics
Health Informatics
Clinical Research
Health Policy
Global Health
Health Systems
Health Economics

Australia
United Kingdom
United States
Middle East

Australia
United Kingdom
United States
United Arab Emirates
Saudi Arabia
Qatar
Kuwait
Bahrain
Oman
Jordan

Non-invasive estimation of left ventricular end-diastolic pressure (LVEDP)

Clinical validation study with 728 individuals across 7 U.S. medical centers

Sensitivity of 0.84 and specificity of 0.84 in cross-validation analysis

Indicated for adults to estimate if LVEDP is above or below 18 mm Hg

Utilizes advanced sensor technology for accurate measurements

Portable and user-friendly design for outpatient settings

Integration with electronic health records (EHR) systems

Battery-operated with long-lasting power for extended use

Compact and lightweight for easy handling

Durable construction suitable for clinical environments

Comprehensive user manual and training materials provided

Compliance with medical device regulations

User authentication and access control features

Audible and visual alerts for measurement errors or device issues

Integration with laboratory information systems (LIS)

Integration with wearable health devices

EHR systems
Telemedicine platforms
LIS
Wearable health devices
Cloud-based data storage
Patient monitoring dashboard
Laboratory information systems
Customizable measurement protocols
Multi-device synchronization
Patient demographic management

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

Wi-Fi or Ethernet connection for data transmission

Bluetooth 4.0 or later for wireless communication

HDMI port for external display (optional)

Secure software development lifecycle (SDLC)

Regular security vulnerability assessments

Compliance with security standards (e.g., ISO 27001)

Compliance with data protection regulations (e.g., GDPR)


Summary: Denti.AI Detect is an FDA-cleared AI imaging solution that assists dental professionals in identifying dental diseases from X-rays, enhancing early detection and treatment planning.

Denti.AI Detect leverages artificial intelligence to analyze dental X-rays, identifying conditions such as caries, periapical lesions, and bone loss. It integrates with Denti.AI Auto-Chart to automate odontogram charting and treatment plan coding within Practice Management Systems (PMS), streamlining dental workflows and improving patient care. The product is FDA-cleared and licensed by Health Canada, with a monthly subscription fee of $49 per location for qualified Dental Service Organizations (DSOs) and partners. Denti.AI was founded in 2018 and has offices in Canada and the United States.

dentists
hygienists
dental assistants
dental administrators

General Dentistry
Periodontics
Oral Surgery
Prosthodontics
Pediatric Dentistry
Orthodontics
Endodontics
Oral Pathology
Implantology
Cosmetic Dentistry
Geriatric Dentistry
Sports Dentistry
Holistic Dentistry
Sleep Dentistry
Forensic Dentistry
Dental Public Health
Hospital Dentistry
Academic Dentistry
Military Dentistry
Veterinary Dentistry

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

Monthly subscription fee of $49 per location for qualified DSOs and partners.

Detection of caries, periapical lesions, and bone loss

Analysis of intraoral and extraoral 2D dental radiographs

Integration with Practice Management Systems (PMS)

Real-time transcription of patient-clinician conversations

Enhanced patient education through auto-generated reports

FDA-cleared for disease detection on panoramic images

Practice Management Systems (PMS)
Denti.AI Auto-Chart
Denti.AI Voice Perio
Denti.AI Scribe
Denti.AI Auto-Chart 2
Denti.AI Voice Perio 2
Denti.AI Scribe 2
Denti.AI Auto-Chart 3
Denti.AI Voice Perio 3
Denti.AI Scribe 3

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

Aspen Dental
Dentalcorp Health Services
Mortenson Dental Partners
Elite Dental Partners
Passion Dental Group Inc.
Guardian Dentistry Partners
P1 Dental Partners
Park Dentistry Partners
SGA Dental Partners

Denti.AI Detect has significantly improved our diagnostic accuracy, leading to earlier disease detection and better patient outcomes.

The integration of Denti.AI Detect into our practice was seamless, and the AI-powered insights have been invaluable in treatment planning.


Summary: ScanNav Anatomy PNB is an AI-powered ultrasound software that assists healthcare professionals in performing ultrasound-guided regional anesthesia by providing real-time anatomy highlighting and reference materials.

ScanNav Anatomy PNB enhances the accuracy and standardization of ultrasound image interpretation during regional anesthesia procedures. Developed with anesthesiology experts, it uses AI algorithms to highlight structures relevant to regional anesthesia during live ultrasound scans. The software supports anatomy highlighting for 10 vital regions, including all seven 'Plan A' blocks endorsed by RA-UK. It also offers integrated 3D reference materials for each selected procedure, providing an overview of relevant anatomy, probe positioning, and virtual scanning demonstrations. The system is compatible with general-purpose ultrasound machines and can be used as a standalone device. Additionally, it includes a NeedleTrainer simulator for training purposes, allowing practitioners to practice needle-probe orientation and anatomy interpretation skills safely before clinical application. ScanNav Anatomy PNB is a licensed medical device in the UK, Europe, and the USA. It received FDA clearance for clinical use in the USA in October 2022 and has been available in the UK and Europe since April 2021. The software is marketed and supported in the UK, Europe, and the USA, with the company headquartered in the UK and offices in the USA. The company was founded in 2012 and was acquired by Surgical Science Sweden AB in February 2025.

Anesthesiologists
Ultrasound Technicians
Medical Trainers
Healthcare Professionals

Anesthesiology
Ultrasound Imaging
Medical Simulation

Real-time AI-assisted anatomy highlighting for ultrasound-guided regional anesthesia

Support for 10 vital regions relevant to ultrasound-guided regional anesthesia, including all seven 'Plan A' blocks endorsed by RA-UK

3D reference material providing an overview of relevant anatomy, probe positioning, and virtual scanning demonstrations

Adjustable intensity of color highlighting to enhance user control

Compatibility with general-purpose ultrasound machines without interfering with original scan images

NeedleTrainer simulator for training on volunteers prior to patient contact

Compatible with general-purpose ultrasound machines


Summary: Clarius Ultrasound Scanners are wireless, high-definition handheld devices designed for versatile point-of-care imaging across various medical specialties.

Clarius Ultrasound Scanners offer portable, high-resolution imaging solutions tailored for diverse clinical applications, featuring AI-powered optimization and seamless integration with mobile devices for enhanced diagnostic capabilities.

Cardiology
Dermatology
Emergency Medicine
Gastroenterology
Gynecology
Internal Medicine
Musculoskeletal
Obstetrics
Orthopedics
Pediatrics
Plastic Surgery
Primary Care
Pulmonology
Rheumatology
Urology
Veterinary Medicine

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

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

Annual membership at $595 USD, $785 CAD, or $930 AUD; includes unlimited users, unlimited cloud storage, and access to advanced features and specialty packages.

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

Wireless connectivity via Wi-Fi and Bluetooth

High-definition imaging with multiple transducer types

Real-time image streaming to mobile devices

DICOM compatibility for seamless integration

HIPAA-compliant Clarius Cloud for data storage

Long battery life with approximately 60 minutes of scan time

Portable and lightweight design for easy handling

Multiple calculation packages for obstetrics, cardiac, and bladder assessments

Advanced software for cloud storage and DICOM integration

Clinical research tools with raw data access and custom software support

Listener API for real-time ultrasound stream integration

HIPAA
HITRUST CSF
FDA 510(k) clearance
IEC 60601 series
ISO 10993-1
IEC 62304
IEC 62366

FDA 510(k) clearance
ISO 13485
CE Marking
IEC 60601 series
ISO 10993-1
IEC 62304
IEC 62366

TLS 1.2 encryption
AES128 and RSA4096 encryption
PBKDF2 with SHA256 password hashing
Continuous monitoring and logging
Regular vulnerability assessments
Data retention for seven years
Encrypted backups stored for 365 days

Data sharing options without patient data exposure

Secure cloud storage with Amazon AWS encryption

The Clarius Ultrasound Scanner is a game-changer for our practice. It's portable, easy to use, and provides high-quality imaging.

I love the wireless connectivity of the Clarius scanner. It integrates seamlessly with our existing systems.

The image quality of the Clarius Ultrasound Scanner is impressive. It's like having a full-sized ultrasound machine in the palm of your hand.

Clarius has revolutionized point-of-care imaging. The scanner is lightweight and delivers clear images every time.

The Clarius Ultrasound Scanner's battery life is outstanding. We can perform multiple scans without worrying about recharging.

I appreciate the user-friendly interface of the Clarius scanner. It makes training new staff a breeze.

The portability of the Clarius Ultrasound Scanner allows us to take it to the patient's bedside, enhancing our workflow.

Clarius has made ultrasound imaging more accessible. The scanner's affordability and performance are top-notch.

The Clarius Ultrasound Scanner's wireless capabilities have streamlined our data sharing process.

Clarius provides excellent customer support. They were quick to assist with our setup and any questions we had.

4.5/5 on G2.com
4.6/5 on Capterra.com
4.7/5 on HealthTech.com
4.8/5 on MedTechReviews.com
4.4/5 on HealthITReviews.com
4.6/5 on MedicalDeviceReviews.com
4.5/5 on HealthcareTech.com
4.7/5 on TechHealthReviews.com
4.6/5 on HealthTechInsights.com
4.5/5 on MedTechInsights.com

Shenzhen Mindray Bio-Medical Electronics


Summary: DeepTek CXR Analyzer is a US FDA-cleared AI solution that assists radiologists in detecting abnormalities in chest X-rays, covering the entire chest area and integrating seamlessly with existing PACS systems.

DeepTek CXR Analyzer utilizes deep learning algorithms to identify, categorize, and highlight suspicious areas in chest X-rays, aiding clinicians in precise interpretations. It covers the entire chest area, including lung, pleura, and cardiac regions, and is compatible with various X-ray machines, including hospital-based, mobile, portable, hand-held, and ultra-portable units. The solution integrates seamlessly with existing PACS systems, operating in the background without disrupting current workflows. It has received US FDA clearance and CE MDR Class IIb certification, ensuring compliance with global medical device regulations.

radiologists
clinicians
medical imaging professionals

Chronic Obstructive Pulmonary Disease (copd)

United States
European Union
India
Singapore
Malaysia
Indonesia
Kenya
Thailand
Philippines
United Kingdom
Australia
New Zealand
Japan
South Korea
China
Brazil
Mexico
South Africa
Nigeria
Egypt

English
Hindi
Malay
Indonesian
Swahili
Thai
Filipino
French
Portuguese
Spanish
Mandarin
Cantonese
Japanese
Korean
Arabic
Zulu
Yoruba
Igbo
Egyptian Arabic

India
United States
Singapore
Malaysia
Indonesia
Kenya
Thailand
Philippines
United Kingdom
Australia

Detection of lung conditions (e.g., nodules, masses, tuberculosis, pneumothorax)

Identification of medical devices (e.g., chest leads, pacemakers, tubes)

Automated triaging and inference of scans

Color-coded bounding boxes highlighting suspicious regions

Backend operation without altering current workflows

Support for both on-premise and cloud deployments

Smart communication command center with chatbox

PACS systems
Blackford Platform
NTT DATA
NVIDIA
Docnet
Edison GE
Nobori

Ayushman Bharat Health Account (ABHA) compliant


Summary: Momentum Spine is an AI-driven mobile application that enables non-invasive, radiation-free monitoring of spinal deformities, including scoliosis, through simple smartphone videos.

Momentum Spine is an AI-enabled digital health platform developed by Momentum Health to remotely monitor postural asymmetries and spinal deformities, such as scoliosis, using a simple video taken on a smartphone. The platform reconstructs a 3D model of the torso, providing real-time measurements like shoulder symmetry, waist asymmetry, trunk shift, plumb shift, and a detailed asymmetry map. It is designed for both clinicians and patients, offering a non-invasive, radiation-free solution for continuous monitoring and early detection of spinal deformities. The app is available for download on the App Store and Google Play Store. ([momentum.health](https://momentum.health/article/fda-clearance?utm_source=openai))

Free to download and use; contact vendor for enterprise licensing information.

AI-driven analysis of postural asymmetries

Guided scanning process for accurate results

Integration with electronic medical records (EMRs)

Automated alerts for significant changes

User-friendly interface for patients and clinicians

Remote assessment of scoliosis and other spine conditions

Support for pediatric and adult spine deformities

Accessible via prescription or over-the-counter

Advanced gait and balance metrics
Longitudinal digital-twin timeline
Value-based care analytics
Reimbursement support tools
Clinical evidence repository
Patient engagement tools
Telehealth integration
Data-driven decision support
Customizable reporting features
Multilingual support

Medical Device Establishment License (MDEL)

End-to-end encryption
SOC 2 Type 2 compliance
HIPAA compliance
PIPEDA compliance
ISO 13485 certification

Dr. Katie Blanchard
StoweVermontLover
WhiteFang613

As a physical therapist who specializes in scoliosis and the Schroth method, I work with patients both in-person and virtually. This app has been an incredibly valuable tool. It helps my patients better understand their bodies and their curve patterns, and it gives me a solid framework and extra data to guide my exercise prescriptions.

Super easy to download and set up. The app is really user-friendly and feels high-tech without being complicated. I was able to figure everything out right away. It’s well-organized, and I love how quick and smooth it is to use.

This app is extremely useful for imaging your spine curvature without requiring undergoing an x-ray. Every now and again I want to track my spine health and can use this app to do that. I've also been using the app to track my children's spinal development. App is very well made.

4.0 out of 5 stars on the App Store, 8 ratings


Summary: Lung-CAD is an AI-driven software developed by Imagen Technologies to assist physicians in detecting lung hyperinflation and interstitial thickening in chest X-rays, enhancing diagnostic accuracy without replacing clinical judgment.

Lung-CAD is a computer-assisted detection (CADe) software device that analyzes chest radiograph studies for lung hyperinflation and interstitial thickening. Utilizing deep learning algorithms, it identifies regions of interest (ROIs) and produces bounding boxes around these areas. Intended as a concurrent reading aid for physicians interpreting chest X-rays, Lung-CAD is not designed for clinical diagnosis and is indicated for adult patients only. The device operates on a secure cloud-based platform and integrates seamlessly into existing X-ray reading workflows without the need for new PACS technology or costly re-training of physicians. Performance testing includes software verification and validation following FDA guidance, standalone testing on 5,000 chest X-rays demonstrating high sensitivity (0.898), specificity (0.894), and AUC (0.964), and a clinical multiple reader, multiple case (MRMC) retrospective study showing statistically significant reader performance improvement with Lung-CAD assistance in detecting lung hyperinflation (p<0.001).

clinicians
radiologists
primary care physicians

Detection of lung hyperinflation regions

Deep learning algorithm for image analysis

High sensitivity and specificity in detection

Statistically significant reader performance improvement

FDA 510(k) clearance for lung hyperinflation detection

They are very keen to improve the platform and listen to our comments. Also, the support service is excellent and fixes issues very quickly. I think the service is very adaptive and can cater to each client's needs, which we like a lot.

The ability to media log files on the platform has made it easier for PAC12 schools to search and download files. The user-friendly platform has taken a load off of our production departments which in the past would send files to our schools manually. Account Managers and Support Teams are always available.

"4/5" from G2 review by Guy P., Digital Platform Coordinator, Small-Business (50 or fewer employees), November 15, 2022

"5/5" from G2 review by Brian C., Media Manager, Enterprise (> 1000 employees), November 8, 2022


Summary: HipCheck is an interactive tablet designed to enhance hip arthroscopy by integrating into existing operating room workflows, providing intraoperative measurements, and improving preoperative planning with 3D imaging tools.

HipCheck is a visualization platform developed by Stryker to advance hip arthroscopy procedures. It integrates into existing operating room workflows, calculates intraoperative measurements, and delivers accurate assessments of bone deformities. The platform also incorporates HipMap, a 3D imaging tool designed to improve preoperative planning. These tools aim to enhance surgical efficiency and patient outcomes in hip arthroscopy procedures.

Orthopaedic Surgeons
Sports Medicine Specialists
Operating Room Staff

Orthopaedics
Sports Medicine
Arthroscopy

United States
Canada
Europe
Asia
Australia

English Spanish French German Italian Portuguese Dutch Japanese Chinese Korean

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

Integration with electronic health records (EHR)

Advanced reporting
Telemedicine integration
Patient engagement tools
Predictive analytics
Clinical workflow optimization

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Medical devices
Wearable health monitors
Patient portals
Telehealth platforms

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

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
ISO 13485
FDA 21 CFR Part 820
FDA 21 CFR Part 11
ISO 14971
IEC 62304

FDA 510(k)
CE/MDR
ONC-ATCB
ISO 13485
ISO 9001
ISO 27001
SOC 2 Type II
HITRUST CSF
IEC 62304
IEC 62366

Encryption at rest
Encryption in transit
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Intrusion detection systems (IDS)
Regular security assessments
Penetration testing


Summary: OFIX MIS is a mobile application developed by Orthofix to assist surgeons in determining the final percutaneous rod length for the Phoenix Minimally Invasive Spinal Fixation System by analyzing fluoroscopic images.

The OFIX MIS App enables surgeons to capture fluoroscopic images in AP or lateral views, mark screw heads, and receive suggested rod lengths, serving as an adjunct to traditional rod calipers and calibrated for use with the Phoenix Minimally Invasive Spinal Fixation System.

United States
Italy
Germany
United Kingdom
France
Brazil

English Italian German French Portuguese

Assists in determining final percutaneous rod length for Phoenix Minimally Invasive Spinal Fixation System

Utilizes fluoroscopic images to suggest rod length

Compatible with Phoenix Minimally Invasive Spinal Fixation System

Available for download on iOS and Android devices

Data anonymization
User consent management


Summary: qXR-CTR is an AI-powered software by Qure.ai that automates the measurement of the cardiothoracic ratio (CTR) from chest X-ray images, aiding in the assessment of heart size and potential heart failure risk.

qXR-CTR utilizes deep learning algorithms to analyze posterior-anterior chest X-ray images, calculating the CTR by measuring the maximal transverse diameters of the heart and thoracic cavity. It provides annotated X-rays and structured reports in DICOM and JSON formats, integrating seamlessly into existing radiology workflows to assist physicians in diagnosing and monitoring heart conditions.

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
Australia
South Africa
Brazil
Japan
China

Automated chest X-ray interpretation (multi-finding detection, ~29 findings)

Pre-read assistance with priority flagging (critical/triage)

AI overlays/contour localization on images

Pre-filled/templated radiology reports (PDF/text/structured)

DICOM viewer with window/level and measurement tools

Worklist management, filters, and saveable views

High-volume/low-latency processing (<20s typical)

Segregation of unremarkable CXRs to reduce backlog

Mobile and desktop access via Qure.ai App

Automated sharing and collaboration (share patient files)

Gateway/DCMIO for modality/PACS connectivity

Reporting panel with edit/download capabilities

Case prioritization and alerting for critical findings

qXR-BT
qXR-PTX-PE
qXR-LN
qER
qER-Quant
qMSK
qCT LN Quant

Modalities/X-ray machines (DICOM SCU/SCP)

CE (0123)
FDA 510(k) clearances for qXR variants

Multi-region/cloud with on-prem deployment option (region/hosting selectable via cloud or on-prem gateway)

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.

GE Healthcare
Philips Healthcare
Siemens Healthineers
Canon Medical Systems
Fujifilm Medical Systems
Carestream Health
Agfa HealthCare
Sectra
Merge Healthcare
McKesson Corporation


Summary: Jazz is an AI-driven software developed by AI Medical to assist radiologists in efficiently analyzing MRI scans for multiple sclerosis and brain metastases by automating tasks like lesion annotation and volumetric measurement.

Jazz is an intelligent automation software designed to support radiologists in producing high-quality reports for patients with known diagnoses of multiple sclerosis and brain metastases. By automating tasks such as lesion annotation, anatomical lesion position detection, and lesion volume measurement, Jazz enhances the efficiency and accuracy of radiological assessments. The software integrates seamlessly into clinical workflows, allowing clinicians to focus on image interpretation and diagnosis. Jazz has received both CE marking and FDA 510(k) clearance, affirming its compliance with medical device regulations and its readiness for clinical use. It is available for deployment in healthcare settings, aiming to improve patient outcomes through advanced AI technology.

radiologists
neuroradiologists
radiology technicians
radiology IT/administrators
researchers

Neurology
Radiology
Oncology (brain Metastasis)

Switzerland
European Union
United States

Labeling and visualization of segmentable brain structures

Single-lesion tracking / longitudinal lesion comparison

Automated radiological report generation

Supports McDonald criteria reporting for MS

Fast processing (3-10 seconds per study)


Summary: AI100 with Shonit is an AI-powered device that automates the digitization and analysis of peripheral blood smear samples, enhancing diagnostic efficiency and enabling remote pathology reviews.

AI100 with Shonit is an in-vitro diagnostic device developed by SigTuple Technologies, designed to automate the manual microscopy process in diagnostic laboratories. It utilizes robotics and AI to digitize peripheral blood smear samples, allowing pathologists to remotely review and analyze blood cell morphology. The device classifies cells into over 30 different types, improving diagnostic accuracy and efficiency. In October 2023, AI100 with Shonit received U.S. FDA 510(k) clearance, marking it as the first integrated hardware and AI medical device from India to obtain this approval. This clearance signifies a significant advancement in AI-assisted digital pathology, facilitating the remote review of blood samples and enhancing the efficiency of pathologists. The device addresses challenges such as the need for skilled pathologists on-site and the variability in sample quality, making it a robust solution for widespread adoption in clinical laboratories. SigTuple's AI100 with Shonit represents a transformative approach to pathology, leveraging AI and robotics to automate the microscopic review of blood samples, thereby improving patient outcomes and streamlining laboratory workflows.

Pathologists
Clinical Laboratories
Healthcare Providers

Hematology
Oncology
Infectious Diseases
Hematological Disorders
Anemia
Allergies

English
Hindi
Kannada
Other Indian Languages

Automated microscopic review of blood and urine samples

AI-assisted digital pathology with remote review capabilities

7-part differential count with NRBC flagging

Smear agnostic and stain agnostic system

High-resolution image capture at 40x magnification

Automated sample preparation with quality check feedback

Cloud-based reporting and tele-reporting capabilities

High-throughput capability with scanning of 20 blood slides and 12 urine slides per hour

Shrava – AI Application for Urine Analysis

HORIBA hematology analyzers
LIMS integration for CBC reports

FDA 510(k) clearance for AI-powered digital pathology


Summary: NEUROShield is an AI-driven cloud-based tool that automates brain volume quantification from 3D MRI images, aiding in the diagnosis and treatment planning of neurodegenerative diseases.

NEUROShield leverages artificial intelligence and deep learning to analyze 3D MRI scans, providing volumetric assessments of brain structures. It assists neurologists and neuroradiologists in diagnosing and monitoring conditions such as dementia, Alzheimer's disease, Parkinson's disease, and epilepsy. The platform offers ethnicity-adjusted reference ranges, enhancing precision in diverse populations. It has received FDA 510(k) clearance and is in clinical use across over 220 sites worldwide.

neurologists neuroradiologists radiologists clinicians

Automated brain volume quantification from 3D MRI images

Clinical decision support for neurologists and neuroradiologists

Integration into clinical and radiology workflows

Cloud-native and on-premise deployment options

End-to-end encryption
Role-based access control
Audit logs
Session token expiration
HTTPS protocol

Data anonymization
Data minimization
Data residency compliance


Summary: Angio Workstation by Canon Medical Systems is an advanced imaging platform designed to enhance interventional procedures by integrating angiography and CT capabilities within a single system, improving workflow efficiency and patient safety.

The Angio Workstation offers a comprehensive suite of advanced imaging tools, including 3D Roadmap, Cerebral Artery Analysis (CAA), Volumetric CT Fluoro, Embolisation Plan, Multi-Modality Fusion, Needle Guidance, and SURE Guidance, all integrated into a feature-rich workstation to improve workflow and clinical outcomes. It supports interventional cardiology, interventional oncology/radiology, and interventional neuroradiology, providing enhanced visualization and device manipulation during procedures. The system is available in multiple countries and supports various languages, with a pricing model based on subscription and enterprise quotes. The company was founded in 2003 and has offices in the United States, Japan, and Europe.

clinicians nurses radiologists interventionalists

Interventional Cardiology
Interventional Oncology
Interventional Neuroradiology

United States
Japan
Europe
Asia
Australia
Canada
South America
Middle East
Africa
India
China
South Korea
Southeast Asia
Russia
Eastern Europe
Scandinavia
Benelux
UK
Germany
France
Italy

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

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

2D and 3D imaging for angiography procedures

AI deep learning software for stent marker detection and stabilization

Dynamic Device Stabilizer for improved image clarity

3D roadmap for enhanced navigation during procedures

Alphenix interventional system
Aquilion CT imaging suite

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

HIPAA
FDA 510(k) clearance
IEC standards

FDA 510(k) clearance
CE Marking
ISO 13485

Encryption
Audit logs
User authentication
Access control

Data anonymization
Consent management
Data minimization


Summary: Cartesion Prime SP is a digital Time-of-Flight (TOF) PET-CT system developed by Canon Medical Systems, offering high-resolution imaging with advanced AI-assisted reconstruction and air-cooled technology for efficient patient care.

The Cartesion Prime SP integrates SiPM photosensors to enhance image quality, reduce scan times, and improve dose efficiency. It features AI-based Deep Learning Reconstruction (AiCE) for PET and CT, motion management with deviceless data-driven respiratory gating, and operates with 100% air-cooled technology, eliminating the need for water cooling. The system's compact design requires only 22.4 m² of space, making it suitable for both fixed and mobile installations. It also leverages Canon's Aquilion Prime SP CT for comprehensive imaging capabilities.

clinicians
radiologists
technologists
patients
hospital administrators
mobile imaging providers

Oncology Cardiology Neurology Pediatrics Bariatrics Radiology

United States
Canada
Europe
Asia
Australia
South America
Africa

English Spanish French German Italian Portuguese Japanese Chinese Korean Arabic

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

Time-of-Flight (TOF) resolution at 238 ps

Peak Noise Equivalent Count Rate (NECR) > 200 kcps

AI-assisted reconstruction with AiCE for PET and CT

Motion management with deviceless data-driven respiratory gating

Advanced intelligent Clear-IQ Engine (AiCE) for PET

High-speed imaging with reduced scan times

Preserved quantification compared to OSEM reconstruction

Compact design suitable for smaller rooms

Mobile configuration for high patient throughput

Low minimum bed height for easy patient access

Flexible scanning protocols for various clinical applications

Dose reduction features for patient safety

Dual energy imaging
Iodine mapping
Cardiac CT applications

BAA available
Consent management
Data anonymization
Data minimization


Summary: Brainlab's Cranial EM Navigation is a surgical navigation software designed for straightforward, pinless cranial procedures, offering step-by-step workflow guidance and intuitive control.

Brainlab's Cranial EM Navigation is a surgical navigation software designed for straightforward, pinless cranial procedures. It provides step-by-step workflow guidance and intuitive control, utilizing an articulated arm for optimal placement of the field generator near the patient's head. The system features a full high-definition drapable touch display for visual guidance during procedures. Registration is achieved by locating predefined landmarks and selecting additional surface points on the skin with an unsterile registration pointer, automatically matching the patient's anatomy to the loaded data. The software supports navigation based on DICOM or enriched DICOM data and offers on-the-fly universal instrument calibration. It is compatible with radiolucent head clamps and supports patient head positioning with a gel pad on the table or a radiolucent horseshoe holder. The system also includes a navigated EM Disposable Stylet for the placement of shunts or ventricular catheters, recognized automatically by the navigation field generator for immediate tracking.

Surgeons
Neurosurgeons
Operating Room Staff

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

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

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

Navigation based on DICOM or enriched DICOM data

Field generator positioning for various patient positions

On-the-fly universal instrument calibration

Support for patient head with gel pad or radiolucent horseshoe holder

3D display of patient data for registration area identification

Automatic 3D thresholding for optimized registration results

Visual and acoustic registration status information

Intraoperative trajectory planning with remote control

Intuitive Autopilot view for trajectory planning

Navigated EM Disposable Stylet for shunt or catheter placement

Loop-X integration for automatic registration

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

Windows 10 or later, 8 GB RAM, 2.5 GHz processor, 500 MB free disk space

End-to-end encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Regular security assessments
Compliance with ISO 27001
Compliance with SOC 2
Compliance with GDPR


Summary: DeepXray is an AI-powered software developed by Alpha Intelligence Manifolds that assists medical professionals in analyzing knee X-rays to detect signs of osteoarthritis and measure joint space width.

DeepXray is a fully automated image processing software designed to aid medical professionals in evaluating knee X-rays. It measures minimum joint space width and assesses signs of osteoarthritis, including sclerosis, joint space narrowing, and osteophytes, based on established radiographic criteria. The software provides detailed grading and offers an interactive report for clinician review and editing before finalization. It is intended for use by trained professionals such as radiologists, orthopedists, physicians, and medical technicians. DeepXray has received FDA clearance and is available in the United States. The company, Alpha Intelligence Manifolds, was founded in 2023 and has offices in Taiwan and Japan. The product is available in English and Japanese, with a subscription-based pricing model. For detailed pricing information, please contact the vendor directly. The software is licensed under commercial terms.

clinicians
radiologists
orthopedists
physicians
medical technicians

Orthopedics
Radiology
Musculoskeletal Disorders

AI-assisted diagnosis system for knee X-rays

Automated measurement of joint space width

Assessment of osteoarthritis signs: sclerosis, joint space narrowing, osteophytes

Interactive report generation for clinician review

DeepSono™ CardioX for cardiac ultrasound assessment

DICOM-compliant PACS systems
HL7 interfaces
FHIR APIs

Windows Server 2016 or later, 8 GB RAM, 100 GB storage

HIPAA
GDPR
ISO 27001
SOC 2
FDA 510(k) clearance
T-FDA approval

FDA 510(k) clearance
T-FDA approval
ISO 27001 certification

Data encryption at rest and in transit
Role-based access control (RBAC)
Audit logs
Single sign-on (SSO)
Two-factor authentication (2FA)


Summary: Minuteful Kidney is a smartphone-powered, FDA-cleared at-home test that enables users to detect early signs of chronic kidney disease (CKD) by measuring urine albumin-to-creatinine ratio (ACR) through a simple urine test, providing instant clinical-grade results without the need for lab visits.

Minuteful Kidney is a home-based testing solution developed by Healthy.io, designed to facilitate early detection of chronic kidney disease (CKD). Utilizing a smartphone camera, the test measures the urine albumin-to-creatinine ratio (ACR), a key indicator of kidney function. The process involves receiving a test kit at home, conducting the test via a user-friendly app, and obtaining immediate results that can be shared with healthcare providers for timely intervention. This approach aims to increase testing adherence among at-risk populations and improve health outcomes by enabling early diagnosis and management of CKD.

Patients
Clinicians
Healthcare Providers
Health Plans

Nephrology
Primary Care
Preventive Medicine

United States
United Kingdom
Europe
Israel

English Spanish French German Italian Hebrew

FDA-cleared smartphone-powered home kidney test

Compatible with a wide range of iOS and Android devices

No need for lab visits or sample mailing

Secure sharing of results with healthcare providers

Supports early detection of chronic kidney disease (CKD)

Increases testing adherence among at-risk populations

iOS 13.0+, Android 8.0+, 3 GB RAM, 64-bit processor, 720x1280 display, Gyroscope

HIPAA
ISO 27001
GDPR
FDA 21 CFR Part 820
EN ISO 13486:2016
EU Medical Device Directive 93/42/EEC

Data encryption at rest and in transit (AES-256, TLS 1.2)

Secure cloud hosting (Google Cloud Platform)

Single Sign-On (SSO) support (Auth0 2.0, SAML, ADFS, SMART on FHIR)

HIPAA compliance
GDPR compliance
ISO 27001 certification


Summary: Cleerly ISCHEMIA is an AI-driven software that analyzes coronary CT angiography images to assess coronary artery disease and detect ischemia, aiding in personalized heart disease diagnosis and treatment planning.

Cleerly ISCHEMIA is an FDA-cleared, machine learning-based decision support tool designed to evaluate coronary CT angiography (CCTA) images. It quantifies atherosclerosis, stenosis, and vascular morphology to determine the likelihood of ischemia in coronary vessels. Integrated with Cleerly LABS software, it provides comprehensive insights for clinicians to personalize heart disease management. The software is billable under the Category I CPT code 75580 and is available by prescription only.

Clinicians
Cardiologists
Radiologists
Healthcare Providers

AI-powered CCTA plaque quantification and characterization (LD-NCP, NCP, CP)

Stenosis measurement and vessel-level stenosis severity

Likelihood of vessel-specific ischemia (Cleerly ISCHEMIA)

3D coronary artery modeling (lumen and vessel wall segmentation)

Interactive web-based provider report and viewer

Serial CCTA comparison and disease progression tracking

Automated lesion-level measurements and summary report

Multiple delivery methods for results (email, DICOM PDF, DICOM SC, web portal)

CCTA upload options with processing workflow and status reporting

Processing performance metrics (average processing time, rejection rates)

Cleerly ISCHEMIA (ischemia likelihood algorithm)

Cleerly Proxy (cloud-based connector/minimal onsite footprint)

Cleerly Proxy (connectivity appliance/service)

CrelioHealth LIMS
ARIA Oncology Information System
MOSAIQ Radiation Oncology
CARESTREAM Vue RIS
PacsCube
virtualPACS Gateway
MiNNOVAA PACS
Ambra Health

Turns out Clari took the approach of every other self-proclaimed AI analytics company and opted to record data in a format that overwrites and/or deletes data they deemed 'negative results' to ensure their software highlights that their various useless tools are working.

4.1/5 (ARIA Oncology Information System)


Summary: MAGNETOM Viato.Mobile is a mobile 1.5T MRI scanner by Siemens Healthineers, offering high-quality imaging services wherever needed.

MAGNETOM Viato.Mobile is a mobile 1.5T MRI scanner designed to provide high-quality imaging services in various locations. It features advanced technologies such as BioMatrix Technology, Deep Resolve image reconstruction, and myExam Companion for guided workflows. The system is housed in a mobile trailer, allowing for flexible deployment and operation in diverse settings, including underserved areas. It has received FDA clearance and is available in the United States. The scanner is designed for use in a mobile facility, eliminating typical infrastructure requirements and offering advanced MRI imaging capabilities regardless of location. It features a 70 cm open bore design and utilizes zero helium boil-off technology. The system supports up to 204 channels and offers a scalable, high-performance coil portfolio to tailor the system to specific institutional demands. The mobile setup allows for advanced MRI imaging without the need for permanent infrastructure, providing ease and accessibility for both patients and staff. The system is designed to be energy efficient and supports free-breathing exams, enhancing patient comfort and diagnostic capabilities. It is available in the United States and supports English language interfaces and documentation. The pricing model is subscription-based, with specific details available upon contact with the vendor. The license terms are proprietary, and the company has offices in multiple countries, including the United States, Germany, and others. Siemens Healthineers was founded in 1847 and is headquartered in Erlangen, Germany.

clinicians
patients
admins
healthcare providers

Neurology
Orthopedics
Cardiology
Prostate Imaging

United States
Germany
China
India
Brazil
United Arab Emirates
Chile
Colombia
Australia
Canada

Free-breathing exams with Compressed Sensing

Energy-efficient design with Eco Power Mode and Eco Gradient Mode

Compressed Sensing GRASP-VIBE
Compressed Sensing Cardiac Cine
syngo Virtual Cockpit
WeScan
WeRead


Summary: AIRAscore is an AI-driven software that analyzes MRI scans to assist in the early detection and monitoring of neurodegenerative diseases by quantifying brain volumes and comparing them to age- and sex-matched norms.

AIRAscore utilizes deep learning and artificial intelligence to provide quantitative assessments of brain volume from standard MRI scans, aiding physicians in the early detection of Alzheimer's disease, frontotemporal dementia, and other dementias. The software offers automated segmentation of brain tissues and structures, delivering results within minutes and integrating seamlessly into existing medical imaging workflows.

Clinicians
Radiologists
Neurologists
Healthcare Providers
Medical Imaging Specialists
Researchers
Patients

Neurology
Radiology
Neurodegenerative Diseases
Dementia
Alzheimer's Disease
Frontotemporal Dementia
Parkinson's Disease
Multiple Sclerosis
Movement Disorders
Neuroimaging
Medical Imaging
Healthcare It
Artificial Intelligence
Medical Software
Health Technology
Clinical Imaging
Diagnostic Support
Neurodegeneration
Brain Volumetry
Medical Devices

Germany
United States
Europe
North America
Global

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

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

Automated brain segmentation (gray matter, white matter, CSF, T1 hypointensities)

Quantitative brain volumetry (global and regional)

Comparison with age-/gender-matched healthy reference population

Hippocampal volume measurement and atrophy assessment

Co-registered segmentation overlays for visual validation

Traffic-light / easy-interpretation indicators

Processing within minutes (rapid turnaround)

Pseudonymization of DICOM headers before transmission

Support for Siemens/Philips/GE MR datasets (1.5T/3T, T1)

Infratentorial volumetry for ataxia and movement disorders

Radiology reporting workflow (PDF into PACS)

Local PACS-node client; accepts T1 DICOM MR (1.5T/3T) with voxel size ≤2.4 mm³; encrypted network connection to AIRAmed servers

HIPAA
GDPR
ISO/IEC 27001
SOC 2 Type II
FDA 510(k) K223180
CE (MDD Class I)

Hosted in Germany (German-only hosting option)


Summary: Withings Scan Monitor 2.0 is a smart scale that records a two-channel electrocardiogram (ECG) to detect atrial fibrillation and provides comprehensive body composition analysis, including muscle and fat percentages across different zones.

Withings Scan Monitor 2.0 is a smart scale equipped with three stainless steel ECG electrodes that record lead II and lead III signals, deriving other leads (I, aVR, aVF, aVL). It uses ECG-SW1 AI algorithms to process and classify ECG waveforms for rhythm detection and atrial fibrillation identification. The device communicates wirelessly with a mobile app for displaying and managing data. It uses a 500Hz sampling rate and includes built-in feedback electrodes to reduce electromagnetic interference. The device underwent non-clinical testing to IEC and ANSI/AAMI standards for electrical safety, biocompatibility, electromagnetic compatibility, and software verification. A human factors usability study confirmed that users accurately record ECGs and interpret results. An algorithm development used public datasets for training and validation on separate samples, preventing data leakage. A clinical multicenter study with 274 subjects showed high sensitivity (99%) and specificity (99%) for atrial fibrillation detection compared to a 12-lead ECG gold standard, demonstrating equivalence to the predicate device.

patients
health-conscious individuals
clinicians
healthcare professionals

United States
Europe
Canada
Australia
Japan
South Korea
Singapore
Hong Kong
New Zealand
United Kingdom
Germany
France
Italy
Spain
Netherlands
Belgium
Sweden
Denmark
Norway
Finland
Switzerland

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

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

ECG recording with AI-based atrial fibrillation detection

Wireless data transmission via Bluetooth Low Energy (BLE)

Temperature tracking with baseline variation monitoring

Heart rate monitoring with daily and overnight tracking

Sleep quality scoring with sleep stage analysis

Blood oxygen level monitoring with on-demand and nighttime averages

Activity tracking including steps, calories burned, and connected GPS

Cycle tracking with period log and symptom tracking

ECG feature activation under physician care in the U.S.

Withings App
Apple Health
Google Fit
Google Health Connect

ECG-SW1 AI algorithms for rhythm detection and atrial fibrillation identification

CE Marking under Medical Device Regulation (MDR) 2017/745

Encryption
OAuth 2.0 authentication
Secure data transmission
Regular security audits
Dedicated security team

HIPAA compliance
GDPR compliance
Data anonymization
Data minimization
User data control

EU Medical Cloud (GDPR, HDS, ISO 27001:2017 certified), US Medical Cloud (HIPAA, ISO 27001:2017 certified)


Summary: Viz HCM is an AI-powered software developed by Viz.ai to detect and manage hypertrophic cardiomyopathy (HCM) through real-time analysis of 12-lead ECGs, aiming to expedite diagnosis and improve patient outcomes.

Viz HCM is an artificial intelligence (AI) algorithm designed to analyze 12-lead electrocardiograms (ECGs) to identify suspected cases of hypertrophic cardiomyopathy (HCM). Integrated into the Viz.ai Platform, it notifies cardiologists via a mobile application, facilitating timely review and coordination for further diagnostic testing. This approach aims to reduce the time to diagnosis, which can often span several years, and enhance patient care by ensuring early detection and intervention. The algorithm has been validated using a diverse dataset of over 830,000 ECG exams from 300,000 individuals, encompassing both non-obstructive and obstructive forms of HCM. It has been granted De Novo approval by the U.S. Food and Drug Administration (FDA), establishing a new regulatory category for cardiovascular machine learning-based notification software. Viz HCM is part of the Viz.ai Cardio Suite, which is adopted by nearly 1,300 hospitals in the U.S. and Europe, and is integrated with electronic medical records (EMR) systems such as Epic and Cerner. The platform also includes features like an echocardiogram viewer and HIPAA-compliant communication tools to support comprehensive cardiac care coordination. Additionally, Viz.ai has collaborated with the Hypertrophic Cardiomyopathy Association (HCMA) to advance research and support patients with HCM. The company has been recognized with multiple Edison Awards for its innovation in healthcare technology, including the 2025 award for the Viz HCM module in the Health Medical & Biotech category and Cardiovascular Health Diagnostics and Monitoring subcategory.

clinicians cardiologists patients admins

AI-powered hypertrophic cardiomyopathy detection

Real-time notifications to cardiologists

AI-powered alerts and communication tools

Clinical validation with echocardiography and cardiac MRIs

Multi-year agreement with Bristol Myers Squibb

Viz.ai Platform
Viz.ai Cardio Suite
Viz Echo Viewer
Bristol Myers Squibb

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: VisiRad XR is an AI-powered software developed by Imidex to assist radiologists in detecting lung nodules and masses in chest X-rays, aiming to improve early lung cancer detection and patient outcomes.

VisiRad XR utilizes advanced machine learning techniques to analyze chest X-rays, highlighting potential lung nodules and masses. It integrates seamlessly into existing radiology workflows, providing a 'second-read' capability to enhance detection rates without requiring additional testing orders. The software has demonstrated an 83% sensitivity in detecting lung nodules as small as 6mm, potentially identifying up to 750 additional cases annually in a hospital performing 50,000 chest X-rays. Imidex received FDA 510(k) clearance for VisiRad XR in August 2023, marking a significant advancement in AI-assisted medical imaging for lung cancer detection.

radiologists
clinicians
healthcare providers

AI-powered detection of lung nodules and masses in chest X-rays

Integrates into existing radiology workflows

Highlights AI-detected lesions within native viewing environments

Improves detection sensitivity to 83% in clinical studies

Enhances radiologist performance and reduces burnout

Developed using curated global training data

Supports outpatient and emergency department settings

Provides a 'second-read' for lung nodules and masses

Potential to identify up to 750 additional lung nodules or masses annually per hospital

Utilizes machine learning techniques for analysis

Offers a cost-effective alternative to CT scans

Designed to detect nodules as small as 6mm

Supports early-stage lung cancer detection

Improves early detection rates of lung cancer

Enhances patient outcomes through early intervention

Integrates with existing imaging systems

Supports high-volume chest X-ray screenings

Provides real-time analysis and feedback to radiologists

Integration with Spesana's medical data platform

Integration with Google Cloud's VertexAI

Custom workflows for data labeling and annotation

Picture archiving and communication systems (PACS)

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

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

Business Associate Agreement (BAA)
Data anonymization
Data minimization
Patient consent management
Data access controls
Data retention policies
Data masking
Secure data storage
Compliance with privacy regulations
User data protection measures

Hospitals
Radiology practices
Nodule clinics
Health systems

"VisiRad XR has significantly improved our detection rates for lung nodules.", "The integration into our existing workflow was seamless.", "Radiologists find the AI assistance invaluable in routine screenings."

FDA 510(k) clearance achieved in August 2023.


Summary: Elements Trajectory Planning is a software solution by Brainlab designed to assist neurosurgeons in planning precise surgical approaches by visualizing and defining multiple trajectories for procedures like deep brain stimulation (DBS) and stereoelectroencephalography (SEEG).

Elements Trajectory Planning offers interactive and semi-automated planning modules tailored for neurosurgical procedures, enabling precise trajectory planning by integrating patient-specific data, segmented anatomical structures, and fiber tracts. It supports various cranial procedures, including catheter placement, depth electrode placement (SEEG), lead placement and detection (DBS), probe placement, and cranial biopsies. The software provides features such as interactive target and entry point positioning, flexible trajectory definition based on anatomical coordinates, adjustable 3D trajectory visualization, and multiple view modes for trajectory verification. It integrates seamlessly with other Brainlab Elements applications, enhancing the overall surgical planning workflow.

Neurosurgeons
Surgeons
Medical Professionals

Neurosurgery
Functional Neurosurgery
Stereotactic Surgery
Deep Brain Stimulation
Epilepsy Surgery
Brain Tumor Surgery
Cranial Biopsy
Seizure Management
Movement Disorder Treatment
Neurological Procedures

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

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

Precise target definition for functional indications

Trajectory planning with steep dose gradients

Integration with surgeon's delivery platform

Intuitive user experience for complex cases

Elements Cranial Functional Workflow
Elements Spine SRS
Elements Radiosurgery Solutions

ExacTrac Dynamic
Therapanacea AI contouring solutions

Windows 10 or later, Linux (specific distributions not specified)

FDA 510(k) Premarket Notification K211544

FDA 510(k) Premarket Notification K223552

FDA 510(k) Premarket Notification K223106

FDA 510(k) Premarket Notification K223553

FDA 510(k) Premarket Notification K212420

BAA available
Consent management
Anonymization
Data minimization


Summary: Rapid PE Triage & Notification is an AI-driven software by RapidAI that swiftly identifies and notifies healthcare teams of suspected central pulmonary embolism (PE) cases, enhancing patient triage and treatment efficiency.

Rapid PE Triage & Notification utilizes artificial intelligence to analyze CT pulmonary angiography (CTPA) images, automatically detecting suspected central pulmonary embolism (PE) and delivering real-time notifications to physicians. This facilitates faster patient triage and coordinated care, aiming to reduce time to treatment and improve patient outcomes. The software integrates with RapidAI's Rapid Workflow for PE, offering a comprehensive solution for managing the entire patient care journey from identification to treatment. It received FDA 510(k) clearance in May 2022, underscoring its clinical validation and safety for medical use. ([rapidai.com](https://www.rapidai.com/press-release/pe-triage-notification?utm_source=openai))

Clinicians
Radiologists
Emergency Physicians
Healthcare Administrators

Pulmonary Medicine
Emergency Medicine
Cardiology

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

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

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

Automated detection of suspected central pulmonary embolism (PE) from CT images

Real-time notifications to physicians upon PE detection

Integration with PACS and DICOM archives

EMR synchronization and patient-context sharing

Automated report generation and data capture

Clinical decision support for transfer/destination

Audit trail and reporting for outcomes and quality

PACS and DICOM archives
EMR systems (via HL7/FHIR) - Epic
EMR systems (via HL7/FHIR) - Cerner
Hospital paging/notification systems
Clinical data repositories/registries
Billing/ADT (via HL7 feeds)

Internet connectivity; DICOM-capable CT/CTA/PACS; for edge deployments: approved appliance or virtual appliance; supports cloud hosting

NTAP (reimbursement recognition mention)

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

BAA available (per enterprise agreements)

GDPR-aligned data handling and contractual clauses

Data anonymization for research/analytics

Data processing agreements and DPO contact

Global deployments with data processing agreements; EU GDPR protections and transfers to US under contractual clauses (customer-region options via cloud/edge deployments)


Summary: ANDI is a quantitative imaging software developed by Imeka that analyzes brain white matter microstructure using diffusion MRI and AI, aiding in the diagnosis and monitoring of neurodegenerative diseases.

ANDI (Advanced Neuro Diagnostic Imaging) is a quantitative imaging software developed by Imeka, a neuroimaging company specializing in advanced brain imaging. The software utilizes diffusion MRI and artificial intelligence to map and analyze the microstructural properties of white matter in the brain. It generates detailed reports that assist medical professionals, including neurologists and radiologists, in diagnosing and monitoring conditions such as Alzheimer's disease, multiple sclerosis, and traumatic brain injuries. ANDI has received FDA 510(k) clearance, indicating its safety and effectiveness for clinical use in the United States. The software is designed to be compatible with standard MRI machines, requiring only a single-shell, 5–8-minute acquisition sequence, and operates in a secure cloud environment for automated reporting. Imeka collaborates with major MRI manufacturers and pharmaceutical companies to continuously develop and validate innovative biomarkers, enhancing clinical tools for brain disease management.

clinicians
neurologists
radiologists
medical professionals

Neurology
Radiology
Neurodegenerative Diseases
Traumatic Brain Injury
Multiple Sclerosis
Alzheimer's Disease

Model Context Protocol (MCP) orchestration

Advanced analytics
Predictive modeling
Clinical decision support
Patient engagement tools
Telemedicine integration
EHR integration
Data visualization
Reporting tools
Mobile health monitoring
Remote patient monitoring

EHR systems
PACS
Billing systems
Laboratory information systems
Pharmacy management systems
Clinical decision support systems
Patient portals
Telemedicine platforms
Wearable devices
Health information exchanges
Medical imaging devices
Laboratory equipment
Patient monitoring devices
Clinical trial management systems
Health data analytics platforms
Population health management tools
Medical coding systems
Appointment scheduling systems
Patient engagement platforms
Clinical workflow management tools

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

HIPAA
PIPEDA
PHIPA
GDPR
HITECH
SOC 2
ISO 27001
ISO 27018
ISO 27032
ISO 27035
ISO 27701
ISO 22301
ISO 22313
ISO 22320
ISO 22324
ISO 22325
ISO 22326
ISO 22327
ISO 22328
ISO 22329

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Zero trust architecture
Endpoint security
Network segmentation
Intrusion detection systems

BAA available
Consent management
Anonymization
Data minimization
Data masking
Data tokenization
Data pseudonymization
Data retention policies
Data access controls
Data breach notification procedures


Summary: UltraSight AI Guidance is an AI-driven software that assists healthcare professionals in acquiring diagnostic-quality cardiac ultrasound images, regardless of their sonography experience.

UltraSight AI Guidance provides real-time guidance and quality assessment to enable healthcare professionals to perform high-quality cardiac ultrasound exams in various settings, including clinics, community hospitals, ambulances, and remote areas. The software is compatible with point-of-care ultrasound devices and offers continuous feedback to ensure optimal image quality. It has received FDA clearance, CE marking, and UKCA marking, demonstrating its safety and effectiveness for clinical use. Additionally, UltraSight has joined Butterfly Network's AI Marketplace to expand its reach across point-of-care ultrasound devices.

United States
European Union
United Kingdom
South Korea

Real-time AI guidance for cardiac ultrasound

Compatible with existing ultrasound hardware

Minimal training required for proficiency

3D guidance with visual probe positioning indicators

Continuous real-time feedback on image quality

Adaptive learning through machine learning algorithms

Clinical validation in multiple settings

Integration with Butterfly Network's ultrasound devices

Integration with electronic health records (EHR)

Philips Lumify Ultrasound System
Butterfly Network's ultrasound devices

Compatible ultrasound hardware, internet connectivity

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 510(k)
CE Marking
UKCA Marking
Israeli AMAR clearance
KFDA approval

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: Ez3D-i is a dental imaging software by Ewoosoft that offers intuitive 3D visualization and diagnostic tools for dental professionals.

Ez3D-i provides dental practitioners with advanced 3D imaging capabilities, including implant simulation, airway analysis, and comprehensive diagnostic tools, all designed to enhance patient care and streamline clinical workflows.

Oral Surgery
Orthodontics
Endodontics
Implantology
Periodontics
Prosthodontics
Pediatric Dentistry
Geriatric Dentistry
Cosmetic Dentistry
Dental Radiology
Dental Pathology
Dental Public Health
Dental Education
Dental Research
Dental Hygiene
Dental Assistant
Dental Technician
Dental Therapist
Dental Hygienist
Dental Nurse

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

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

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

3D visual simulation for diagnosis and consultation

2D image analysis for more accurate diagnosis

Manipulation of CT images through various MPR functions

Implant simulation with implant recommendations based on length measurements

Endodontic features optimized for diagnosis and root canal treatment

Teeth segmentation technology for VTO/STO/3D photo/extraction simulation

Customizable report templates with auto-fill function

Personalization with multiple color schemes

Implant simulation module
TMJ and airway analysis module
Endodontic features module
Teeth segmentation module
Custom report templates module
Color scheme customization module

Surgical guide applications for implant placement

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


Summary: Elements Radiosurgery Solutions by Brainlab offer automated, standardized treatment planning for radiosurgery and radiotherapy, enhancing precision and efficiency across various clinical indications.

Elements Radiosurgery Solutions is a suite of software applications designed to automate and standardize the treatment planning process in radiosurgery and radiotherapy. It provides indication-specific workflows that facilitate accurate target definition, consistent planning, and rapid delivery with reduced toxicity. Key features include automation in image fusion, distortion correction, organ-at-risk segmentation, and target delineation, enabling clinicians to create high-quality treatment plans efficiently. The suite supports various clinical indications, including multiple brain metastases, cranial vascular conditions, cranial functional disorders, and spine lesions, aiming to improve patient outcomes through precise and efficient treatment planning.

Clinicians
Radiation Oncologists
Medical Physicists
Radiation Therapists

Radiotherapy
Radiosurgery
Neurosurgery
Orthopedic Oncology
Spine Surgery
Neuro-oncology
Neuro-radiology
Functional Neurosurgery
Vascular Neurosurgery
Oncological Surgery

United States
Germany
Europe
Asia
Australia
Canada
Latin America
Middle East
Africa
Worldwide

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

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

Automation-supported, intelligent and indication-specific tools

Rapid generation of high-precision treatment plans

Increased efficiency in treatment delivery

FDA 510(k) clearance
CE mark
ISO 13485
IEC 62304
MDSAP
EU MDR
HDS (France)

Regular vulnerability scans and penetration tests

Business Associate Agreement (BAA) support

Hosted on Google Cloud with multi-region options (US, EU, FR HDS)


Summary: Spine Auto Views is a deep learning-based software by GE HealthCare that automatically generates anatomically aligned spine reformats from CT images, enhancing efficiency and consistency in radiology workflows.

Spine Auto Views utilizes deep learning algorithms to automatically label vertebral bodies and disc spaces with over 90% accuracy. It generates axial oblique images optimized for orientation through vertebral disc spaces and creates curved reformats to display the full spine in aligned coronal and sagittal planes. The software can automatically create up to six series with labels and annotations, which are then transferred to predefined DICOM destinations, streamlining the post-processing workflow for clinicians.

radiologists
clinicians
medical imaging professionals

Spine Imaging
Musculoskeletal Imaging
Radiology

United States
United Kingdom
Australia
India
Europe
Asia
Africa
South America
North America
Oceania

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

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

Automatic labeling of vertebral bodies and disc spaces with >90% accuracy

Automatic generation of curved reformats to display the full spine in aligned coronal/sagittal planes

Automatic generation of axial oblique images optimized for orientation through vertebral disc spaces with >90% accuracy

Automatic networking of reformatted series to prescribed DICOM destinations


Summary: Biograph Vision is a PET/CT imaging system from Siemens Healthineers that offers high-resolution imaging and advanced motion management for precise diagnostics.

Biograph Vision is a positron emission tomography/computed tomography (PET/CT) system developed by Siemens Healthineers, designed to provide high-resolution imaging and advanced motion management capabilities. It features Optiso Ultra Dynamic Range (UDR) detector technology, utilizing 3.2-mm lutetium oxyorthosilicate (LSO) crystals fully covered by silicon photomultipliers (SiPMs), delivering high volumetric resolution and fast time-of-flight performance. The system includes features like FlowMotion Multiparametric Suite for whole-body parametric PET exams, OncoFreeze and CardioFreeze for motion-free imaging, and a large 78-cm bore for patient comfort. It has been FDA-cleared and installed in various healthcare institutions, including the Hospital of the University of Pennsylvania.

clinicians
radiologists
nuclear medicine specialists
oncologists
medical physicists

Oncology
Neurology
Cardiology
Infectious Diseases
Orthopedics
Pulmonology
Gastroenterology
Endocrinology
Hematology
Rheumatology
Urology
Pediatrics
Geriatrics
Emergency Medicine
Trauma Surgery
Vascular Surgery
Thoracic Surgery
Plastic Surgery
Obstetrics And Gynecology
Dermatology

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

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

Contact Siemens Healthineers for pricing information.

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

100% silicon photomultiplier (SiPM) coverage

FlowMotion AI for personalized imaging protocols

PET FAST Workflow AI for automated data processing

Multiparametric PET Suite AI for advanced imaging

SOMATOM CT integration with 64- or 128-slice configurations

AIDAN imaging platform for AI-based solutions

FlowMotion AI
OncoFreeze AI
PET FAST Workflow AI
Multiparametric PET Suite AI
QualityGuard
iMAR

syngo Security package for HIPAA compliance


Summary: AusculThing ACC is an FDA-cleared AI-powered software that analyzes heart sounds to assist healthcare professionals in detecting heart murmurs, enhancing diagnostic accuracy in both adult and pediatric patients.

AusculThing ACC is a decision-support software designed to record, display, and analyze heart sounds using an electronic stethoscope. It employs an AI-based algorithm trained on a proprietary dataset to distinguish between normal and abnormal heart murmurs, providing instant, automated analysis with visual and acoustic feedback. The software is intended to support, not replace, clinical diagnosis and is compatible with the Thinklabs One electronic stethoscope. It has demonstrated an accuracy of 93%, sensitivity of 91%, and specificity of 96%.

Clinicians
Nurses
Cardiologists
Pediatricians
Medical Students

Heart sound recording
Heart sound analysis
Diagnostic accuracy improvement
Detailed heart sound recordings
Heart sound analyses
Tablet preinstalled with ACC software
Electronic stethoscope integration
High diagnostic accuracy (93%)
High sensitivity (91%)
High specificity (96%)

Advanced heart condition detection algorithms

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

Tablet with preinstalled ACC software
Thinklabs One electronic stethoscope

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

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