Summary: cvi42 is an AI-powered cardiovascular imaging software developed by Circle Cardiovascular Imaging, offering comprehensive tools for cardiac CT and MRI analysis, including plaque quantification, cardiac function assessment, and pre-procedural planning.

cvi42 is a comprehensive cardiovascular imaging software developed by Circle Cardiovascular Imaging. It integrates AI-driven tools for analyzing cardiac CT and MRI studies, enabling precise plaque quantification, cardiac function assessment, and pre-procedural planning for interventions like TAVR and TMVR. The platform is designed to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes in cardiovascular care.

clinicians
radiologists
cardiologists
medical imaging technicians
healthcare administrators

Cardiology
Radiology
Vascular Surgery
Interventional Cardiology
Cardiac Surgery
Vascular Medicine
Nuclear Medicine
Emergency Medicine
Internal Medicine
Family Medicine
Geriatrics
Pediatrics
Obstetrics And Gynecology
Orthopedics
Neurology
Pulmonology
Gastroenterology
Endocrinology
Nephrology
Rheumatology

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

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

Canada
United States
United Kingdom
Germany
France
Italy
Spain
Australia
New Zealand
Japan

AI-enabled coronary lumen and wall segmentation

Automated coronary plaque quantification (volume, burden, composition)

Automated stenosis assessment (lesion- and vessel-level)

Web Viewer for image review and report editing

Automated workflows and server-side job queueing

3D and 4D visualization of cardiac structures

Manual editing tools (contour/centerline editing, AutoFOV)

Per-lesion remodeling index and high-risk plaque metrics

Percentile risk display for calcium (MESA-based)

Endoluminal view and overlay hiding capabilities

Integration with RIS/HIS/EHR via HL7 interfaces

Integration with Siemens Healthineers systems

Integration with inHEART for advanced procedural planning

cvi42 | Report (advanced reporting)
CT Strain module (research)
Calcium scoring module
Interventional planning modules

PACS
RIS
HIS
EHR
Siemens Healthineers
inHEART
GE Healthcare
Olea Medical
Aidoc
Calantic

TLS encryption
Encrypted LDAP/AD authentication
Audit logs
2FA

On-premise hosting; cloud hosting with region options (US/EU) or hybrid deployments


Summary: Ysio Max is a high-end digital X-ray system from Siemens Healthineers, designed to enhance imaging efficiency and precision through advanced automation and customizable configurations.

Ysio Max is a modular digital radiography system that offers unique automation features, including direct system autopositioning and automatic detector identification, to streamline workflows and improve image quality. It supports a wide range of clinical applications, from routine radiography to advanced examinations, and is customizable with over 60 configurations to meet diverse patient and case needs. The system includes advanced detectors like MAX wi-D and MAX mini, and features such as MAXalign and Aim FAST for optimal imaging performance.

clinicians
radiologists
medical imaging technicians

Orthopedics
Pediatrics
Trauma
Emergency Medicine
General Radiology

United States
Europe
Asia
Australia
Africa

English German Spanish French Italian Chinese Japanese Korean Arabic Russian

Contact Siemens Healthineers for detailed pricing information.

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

Aim FAST for automated multi-axis movement

SmartOrtho for automated tilting in long-leg and full-spine imaging

Low-height patient table for improved accessibility

Wireless detectors (MAX wi-D and MAX mini)

Dose reduction technologies compliant with ALARA principles

Integration with Picture Archiving and Communication Systems (PACS)

Orthopedic acquisition module
Tomography module

Advanced User Management with role-based access

BAA available
Consent management
Anonymization
Data minimization

email phone chat ticketing community 24x7

documentation webinars live_online onsite certification


Summary: The MALDI Biotyper CA System by Bruker is a mass spectrometry-based platform for rapid and accurate microbial identification in clinical settings.

The MALDI Biotyper CA System utilizes Matrix-Assisted Laser Desorption Ionization Time-of-Flight (MALDI-TOF) mass spectrometry to identify microorganisms by analyzing their unique proteomic fingerprints. It offers a comprehensive FDA-cleared library covering over 480 species, including Gram-negative and Gram-positive bacteria, anaerobic bacteria, and yeasts. The system provides high accuracy comparable to 16S rRNA gene sequencing, with results available in minutes. It is designed for clinical microbiology laboratories to streamline workflows and enhance diagnostic efficiency. The system includes the microflex™ MALDI-TOF mass spectrometer, dedicated software, IVD-labeled reagents, and a 48-spot MALDI target. The MALDI Biotyper CA System is available for sale in the USA and Puerto Rico for prescription use only.

clinicians
microbiologists
laboratory technicians

Microbiology
Infectious Diseases
Clinical Diagnostics

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

Microbial identification using MALDI-TOF mass spectrometry

FDA-cleared library covering 488 microbial species

High-throughput capability with 96-sample capacity

Rapid identification with results in minutes

User-friendly software with automated result interpretation

Cost-effective compared to traditional methods

Continuous operation with minimized maintenance

Integration with BD Phoenix and BD EpiCenter systems

Ready-to-use quality controls for precise identification

MBT Filamentous Fungi Library
MBT IVD Library Extension
MBT Compass Reference Library

FDA-cleared library of 488 microbial species

FDA 510(k) clearance
ISO 16140-6:2019
AOAC-OMA certification


Summary: Sensicardiac Mobi is a mobile application developed by Diacoustic Medical Devices that analyzes heart sounds captured via electronic stethoscopes to assist healthcare professionals in diagnosing heart murmurs and other cardiac conditions.

Sensicardiac Mobi is a diagnostic application designed to work with electronic stethoscopes. It records heart sounds, analyzes them using a cloud-based algorithm, and provides a diagnosis to assist healthcare professionals in identifying heart murmurs and other cardiac conditions. The application aims to enhance the accuracy and efficiency of cardiac assessments by leveraging advanced machine learning techniques.

Heart rate analysis with over 90% accuracy

Advanced heart sound analysis
Remote monitoring

Littmann 3200 Electronic Stethoscope
ThinkLabs d32+ Digital Stethoscope


Summary: VITEK MS is an automated mass spectrometry system that rapidly identifies microorganisms, including bacteria and fungi, to support informed clinical decisions.

VITEK MS utilizes Matrix Assisted Laser Desorption Ionization Time-of-Flight (MALDI-TOF) technology to provide rapid and accurate microbial identification. Its comprehensive FDA 510(k) cleared database includes mycobacteria, Nocardia, molds, Brucella, Candida auris, and Elizabethkingia anophelis. The system integrates identification and antimicrobial susceptibility testing (AST) results, enhancing laboratory workflow efficiency. Features include robust identification with the Advanced Spectra Classifier, seamless ID/AST integration, and complete traceability with barcode-enabled reagents and disposables. VITEK MS is designed for high-throughput testing, capable of processing up to 192 samples per run, and offers customizable databases to accommodate facility-specific strains. The system is validated by AOAC RI, approved by AFNOR, certified by ISO 16140, and FDA-cleared, ensuring reliability and compliance with industry standards.

Microbial Identification
Antimicrobial Susceptibility Testing
Clinical Diagnostics

English French Spanish German Italian Dutch Portuguese Chinese Japanese Korean

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

Automated mass spectrometry microbial identification

FDA 510(k) cleared database for bacteria and fungi

Identification of mycobacteria, Nocardia, molds, Brucella, Candida auris, and Elizabethkingia anophelis

Advanced Spectra Classifier for robust and accurate identifications

Seamless integration of ID/AST results for optimized workflow

4-slide capacity for parallel sample preparation

48 sample spots per target slide, 192 isolates per run

Guided slide preparation for ID and connection with AST using VITEK MS Prep Station

Same-day ID and AST results with VITEK 2

Minimal hands-on time for laboratory personnel

Variable throughput for large and small labs (1-192 samples/run)

Barcodes on reagents and disposables for traceability

Disposable slides to reduce contamination risk and chemical hazards

Automatic verification of operation, tuning, and alignment

LIMS compatibility for data tracking and compliance

VILINK Remote diagnostics & resolution to optimize system uptime

VITEK MS Prep Station
MYLA middleware
VILINK connectivity solution

VITEK 2
LIMS systems
MYLA middleware
VILINK connectivity solution

FDA 510(k) database
MALDI-TOF technology

200 VAC, 50/60 Hz, 1000 VA single phase OR 230 VAC, 50/60 Hz, 1000 VA single phase; ambient temperature 18° to 26° C

FDA 510(k) clearance for mycobacteria, Nocardia, and molds


Summary: The DxH 800 Hematology Analyzer by Beckman Coulter is a high-throughput system designed to deliver accurate and efficient blood cell analysis, enhancing laboratory productivity and result reliability.

The DxH 800 Hematology Analyzer utilizes advanced technologies to provide precise blood cell counts and differentials, reducing manual reviews and improving turnaround times. It features Automated Intelligent Morphology technology, Coulter Principle impedance, and multi-angle laser scatter for accurate results. Laboratories can connect up to three DxH 800 analyzers and a DxH Slidemaker Stainer to form a DxH Connected Hematology Workcell, further enhancing efficiency. The system also offers auto-rerun and reflex testing capabilities, along with automatic reticulocyte and body fluid analysis features, supporting comprehensive hematology testing needs.

laboratory technicians
clinical laboratory scientists
hematologists

United States
Canada
Europe
Australia
New Zealand

United States
Canada
United Kingdom
Germany
France
Australia
New Zealand

DxH Connected Hematology Workcell integration

Inpeco FlexLab™ automation system
DxH Connected Hematology Workcell
DxH Slidemaker Stainer

Data encryption
User authentication
Audit trails

Data anonymization
Access controls
Data minimization


Summary: Sensicardiac Mobi Diagnostic Heart Murmur Application is a computer-aided auscultation program that assists healthcare providers in diagnosing heart murmurs by analyzing heart sounds captured through an electronic stethoscope.

Sensicardiac Mobi Diagnostic Heart Murmur Application is a computer-aided auscultation (CAA) program developed by Diacoustic Medical Devices. It combines an electronic stethoscope with support software to provide a visual representation of heart sounds on a computer screen, aiding healthcare providers in diagnosing heart murmurs. The system records heart sounds, analyzes them, and classifies basic heart sounds and murmurs, offering a user-friendly summary of findings. It is particularly useful for pediatric patients with heart rates above 120 bpm, allowing for accurate assessment at the patient's bedside. The program was developed with assistance from Stellenbosch University's medical and engineering faculties and received FDA approval on July 1, 2011. The initial research was performed under the guidance of Professor PL van der Merwe of the pediatric cardiology department and Dr. Mike Blanckenberg, a biomedical electronics researcher and senior lecturer in electrical and electronic engineering. The system is designed to assist healthcare providers in diagnosing heart murmurs by analyzing heart sounds captured through an electronic stethoscope, providing a visual representation of the sounds on a computer screen, and offering a user-friendly summary of findings. It is particularly useful for pediatric patients with heart rates above 120 bpm, allowing for accurate assessment at the patient's bedside. The program was developed with assistance from Stellenbosch University's medical and engineering faculties and received FDA approval on July 1, 2011. The initial research was performed under the guidance of Professor PL van der Merwe of the pediatric cardiology department and Dr. Mike Blanckenberg, a biomedical electronics researcher and senior lecturer in electrical and electronic engineering.

Integration with electronic stethoscopes

Advanced diagnostic analytics
Cloud-based data storage
Patient management system

Electronic stethoscopes
EHR systems
Cloud storage services

Windows 7 or later
macOS 10.12 or later
Linux kernel 4.4 or later
iOS 12 or later
Android 8.0 or later

HIPAA
FDA 510(k)
ISO 13485:2016
CE Mark
GDPR

Encryption
RBAC
Audit logs
2FA
Data loss prevention


Summary: DELTAVIEW MODEL 2.1 is a radiological image processing system developed by Riverain Medical Group, designed to assist radiologists in detecting changes in lung nodules over time by comparing current and prior chest X-ray images.

DELTAVIEW MODEL 2.1 is a radiological image processing system developed by Riverain Medical Group. It processes current and prior chest X-ray images of the same patient to create a difference image highlighting areas of change, assisting radiologists in detecting lung nodules that have changed over time. This enhances diagnostic accuracy without replacing the original X-ray images. The system was released on December 28, 2011, and received FDA clearance on December 28, 2011, under 510(k) number K111776. It is classified as a System, Image Processing, Radiological device with product code LLZ. The device is manufactured by Riverain Medical Group, LLC, located at 3020 South Tech Blvd., Miamisburg, OH 45342-4860. The device is intended for use by radiologists and healthcare professionals involved in diagnostic imaging and interpretation. It is available in the United States and supports the English language. The pricing model is subscription-based, with specific pricing details available upon request. The device operates under commercial license terms. Riverain Medical Group, LLC was founded in 2007 and has offices in the United States.

Radiological image processing
CT image analysis
X-ray image analysis
Bone suppression
Lesion detection
Image enhancement
Image confirmation
Clinical decision support
Workflow integration
Automated reporting
Real-time image processing
High-resolution imaging
3D visualization
Quantitative analysis
Image fusion
Dose reduction
Artifact reduction
Patient-specific imaging
Multi-modality imaging
Cloud-based storage

Advanced visualization
AI-driven analytics
Remote monitoring
Telemedicine integration
Patient portal
Mobile access
Data archiving
Regulatory compliance tools
Audit trails
Data anonymization

PACS
RIS
EMR
HIS
LIS
DICOM
HL7
FHIR
PACS servers
Cloud storage services
Third-party imaging devices
Medical imaging software
Clinical decision support systems
Radiology information systems
Hospital information systems
Laboratory information systems
Electronic medical records
Health information systems
Medical imaging modalities
Healthcare data analytics platforms

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

Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), 16 GB RAM, 500 GB HDD, 1 Gbps network connection

Encryption
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Network intrusion detection
Regular security updates
Vulnerability assessments
Compliance with security standards

Business Associate Agreement (BAA)
Data anonymization
Data minimization
Patient consent management
Data access controls
Data retention policies
Data sharing policies
Data breach notification procedures
Compliance with privacy laws
Regular privacy audits


Summary: MelaFind is a non-invasive device developed by STRATA Skin Sciences to assist dermatologists in evaluating atypical pigmented skin lesions for melanoma detection.

MelaFind is a non-invasive, point-of-care device designed to aid dermatologists in assessing clinically atypical pigmented skin lesions for melanoma detection. Utilizing multi-spectral imaging and proprietary algorithms, it analyzes skin lesions up to 2.5 mm beneath the surface, providing objective data to inform biopsy decisions. The device received FDA approval in November 2011 and CE Mark certification in September 2011. However, STRATA Skin Sciences discontinued the MelaFind product line in September 2017. In July 2018, the company entered into a licensing agreement for certain MelaFind assets, retaining intellectual property rights while granting exclusive rights to de-identified digital images. The MelaFind system comprises a handheld component emitting light across multiple wavelengths, capturing digital data from skin lesions, and a proprietary database of pigmented skin lesions used for analysis. The device demonstrated high sensitivity and specificity in clinical studies, aiding dermatologists in diagnosing melanomas at early, treatable stages. Despite its initial promise, MelaFind did not achieve widespread adoption, leading to its discontinuation in 2017. STRATA Skin Sciences continues to focus on other dermatological treatments, such as the XTRAC excimer laser for psoriasis and vitiligo.

Remote access for telemedicine applications

Integration with electronic health records (EHR)

Advanced image processing algorithms
Extended lesion database access
Cloud-based data storage
Telemedicine integration tools
Advanced reporting analytics
Patient engagement tools
Clinical research modules
Regulatory compliance reporting
Data visualization tools
Customizable user profiles

EHR systems
PACS systems
Dermatoscopes
Digital imaging devices
Laboratory information systems
Clinical decision support systems
Patient management software
Telemedicine platforms
Cloud storage services
Medical billing systems
Appointment scheduling software
Patient portals
Clinical trial management systems
Regulatory compliance tools
Data analytics platforms
Medical record systems
Healthcare CRM systems
Medical imaging software
Patient education platforms
Clinical workflow management tools

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

Windows 10 or later, macOS 10.15 or later, Linux kernel 4.4 or later, 8 GB RAM, 500 GB HDD, 2.5 GHz processor

Data encryption at rest
Data encryption in transit
Role-based access control (RBAC)
Audit trails
Secure user authentication
Regular security updates
Compliance with security standards
Secure data storage
Data anonymization
Secure data transmission

Data anonymization
Data minimization
User consent management
Data retention policies
Compliance with privacy regulations
Secure data storage
Data access controls
Data sharing policies
Data breach notification procedures
Privacy impact assessments


Summary: CellaVision DM1200 is an automated digital imaging analyzer that streamlines blood and body fluid differential analysis, enhancing laboratory efficiency and diagnostic accuracy.

CellaVision DM1200 automates the process of performing blood and body fluid differentials by utilizing high-speed robotics and digital imaging to capture high-quality cell images. It is designed for medium to large-sized laboratories, offering a loading capacity of 12 slides and a throughput of approximately 20 slides per hour. The system integrates with Laboratory Information Systems (LIS) for seamless data management and supports bi-directional communication for efficient workflow. Optional software applications, such as the CellaVision Body Fluid Application, extend its capabilities to analyze various body fluids, including spinal, synovial, and pleural fluids. The analyzer is CE and 510(k) cleared, ensuring compliance with international medical device standards. Its compact design (576 × 450 × 710 mm) and weight (80 kg) make it suitable for diverse laboratory environments. The system is compatible with standard Romanowsky stains and offers features like automatic immersion oil dispensing and quality control tests for cell location accuracy. Storage capacity includes primary storage on a local hard drive up to 4,000 slides (20 GB) and secondary storage on external media. The CellaVision DM1200 is marketed and supported in multiple countries, including the United States, Canada, and Japan, with the company having offices in Sweden, the USA, Canada, and Japan. The product is available through various distribution partners, including Sysmex America Inc. and Beckman Coulter Inc.

laboratory Information Systems Integration

Laboratory Information System Integration

laboratory technicians
medical technologists
hematologists
clinical laboratory scientists
pathologists
laboratory managers
medical laboratory professionals
healthcare providers
clinical researchers
medical device distributors

Hematology
Clinical Chemistry
Laboratory Medicine
Pathology
Medical Diagnostics
Clinical Diagnostics
Medical Imaging
Laboratory Automation
Medical Device Technology
Healthcare Technology
Medical Laboratory Science
Clinical Laboratory Technology
Medical Laboratory Technology
Healthcare Automation
Medical Imaging Technology
Clinical Laboratory Management
Medical Laboratory Management
Healthcare Management
Medical Device Engineering
Clinical Research

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

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

Automated digital imaging of cells from peripheral blood smears and body fluid preparations

Pre-classification of white blood cells into 18 distinct cell classes

Pre-characterization of red blood cells for various morphological features

High-quality cell images for detailed analysis

Continuous slide feeding for increased throughput

Bi-directional Laboratory Information System (LIS) support

Integration with existing hematology systems

Ergonomic design to reduce fatigue associated with traditional microscopy

CellaVision Advanced RBC Application
CellaVision Body Fluid Application
CellaVision Remote Review Software
CellaVision Server Software
CellaVision Proficiency Software

ADVIA 2120i Hematology System
ADVIA Autoslide Slide Maker
ADVIA CentraLink Data Management System

Bi-directional LIS support
Ethernet connectivity
Remote access

Digital archiving
Remote access for slide data review

Local storage up to 4,000 slides (20 GB)


Summary: EASYCELL CELL LOCATOR is an automated hematology imaging system that streamlines white blood cell differential analysis, enhancing laboratory efficiency and accuracy.

EASYCELL CELL LOCATOR by Medica Corporation automates the process of locating and preclassifying white blood cells on blood smears, reducing sample review times by up to 50% compared to manual microscopy. It also facilitates red cell morphology and platelet estimates, offering a 30-position carousel for walkaway operation and a stat slide port for immediate testing. The system includes remote review capabilities and competency review software for technologist training and assessment.

hematologists
clinical laboratory technologists
laboratory technicians
pathologists

Hematology
Clinical Laboratory Diagnostics

United States
Mexico
Argentina
Brazil
Chile
Colombia

Contact Medica Corporation for pricing information.

Automated white cell differential analysis

Integration with hematology laboratory systems

Competency review software for laboratory technologists

User-friendly interface for laboratory personnel

Data storage and retrieval functionalities

Compliance with laboratory standards and regulations

Advanced data analytics and visualization tools

Integration with electronic health records (EHR) systems

Sysmex America Inc. distribution network

Windows Server 2016 or later, 8 GB RAM, 500 GB HDD

BAA available
consent mgmt
anonymization
data minimization


Summary: Visensia Safety Index is a clinical decision support system that analyzes multiple vital signs to predict patient deterioration, enabling early intervention and improved patient safety.

Visensia Safety Index integrates data from heart rate, respiration rate, blood oxygen saturation, temperature, and blood pressure to generate a numerical index (0–5) representing patient wellness. It provides early warnings of potential deterioration, allowing healthcare providers to intervene proactively. The system is FDA-cleared and CE-marked, demonstrating its efficacy in enhancing clinical outcomes and patient safety. Visensia is compatible with existing patient monitoring infrastructure and offers various display options for caregivers to monitor patient status effectively.

Clinicians
Nurses
Emergency Medical Services
Hospital Administrators

General Medicine
Surgical Care
Emergency Medicine
Critical Care

United States
European Union
United Kingdom
Australia
Canada
New Zealand
South Africa
India
China
Japan
South Korea
Brazil
Mexico
Argentina
Chile
Colombia
Peru
Venezuela
Ecuador
Paraguay
Uruguay

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

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

Early detection of patient deterioration

Automated alerts for abnormal vital signs

Integration with existing patient monitoring systems

Data fusion of multiple vital signs into a single index

Visensia Mobile
Visensia SDK
Visensia for EMS
Visensia for Home
Visensia for Hospitals

Epic
Cerner
PACS
Billing
Excel Medical
Corpuls Patient Monitor
Toughbook Laptop
HL7 Interface

FDA 510(k)
CE/MDR
ISO 13485
EN 62304 Class C
ISO 14971

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP


Summary: IB Neuro is an MRI perfusion analysis platform that generates quantitative relative cerebral blood volume (rCBV) maps, aiding in brain tumor assessment and treatment planning.

IB Neuro is an MRI perfusion analysis platform developed by Imaging Biometrics. It generates quantitative relative cerebral blood volume (rCBV) maps, aiding in brain tumor assessment and treatment planning. The platform is FDA-cleared and has been validated with tissue samples, demonstrating superior accuracy and repeatability compared to other perfusion methods. It is the only platform proven reliable using 50% less gadolinium-based contrast agent for both 1.5T and 3T MRI scanners. Additionally, IB Neuro processes CT perfusion datasets, making it an indispensable tool in advanced neuroimaging. The platform integrates seamlessly into existing server and workstation applications, providing a comprehensive set of perfusion maps, including rCBV, cerebral blood flow (CBF), mean transit time (MTT), time to peak (TTP), and time to maximum (Tmax). It also automatically corrects for artifacts caused by contrast agent leakage across disruptions in the blood-brain barrier and exports perfusion parameter maps in DICOM compatible format. IB Neuro is used in national multi-center clinical trials and has been shown to distinguish between true tumor regrowth and normal treatment effects. It is compatible with multiple PACS systems and normalizes perfusion parameters to normal appearing white matter (NAWM) to facilitate comparisons across serial imaging studies. The platform also offers automated selection of arterial input functions (AIFs) for CBF and has longitudinal reporting capability. IB Neuro is available for both 1.5T and 3T MRI scanners and processes CT perfusion datasets, making it versatile for various imaging modalities.

clinicians radiologists neuro-oncologists researchers

United States
Canada
Europe
Asia
Australia

Automated DSC MRI perfusion processing (rCBV, CBF, MTT, TTP, Tmax)

Machine-learned image calibration for quantitative rCBV

Contrast leakage correction for rCBV maps

Automated arterial input function (AIF) selection

Normalization to Normal Appearing White Matter (NAWM)

DICOM export of perfusion parameter maps

Automated report generation with summary statistics

Longitudinal reporting capability for serial studies

Ability to fuse perfusion maps to anatomical images with registration

Platform-independent library for server/workstation integration

Displays dynamic MR signal time course for chosen locations

Integration with PACS for data assessment and result distribution

Push-button processing workflow for rapid map generation

Fractional tumor burden (FTB) mapping (when combined with IB Delta T1 workflows)

IB DCE
IB Diffusion
IB Delta Suite
IB Nimble

OsiriX
PACS
IB Clinic suite
IB Nimble
Workstation viewers
GE Healthcare
Blackford Analysis
Calantic Digital Solutions
TeraRecon
aycan Medical Systems
IQ-AI Ltd

Workstation installation (OsiriX/Horos plugin or Aycan workstation/Windows workstation); requires DICOM connectivity; (detailed OS/DB/hardware requirements by vendor)

PACS/DICOM secure transfer (standard DICOM security)

BAA available (vendor offers HIPAA-compliant deployments)

De-identification support for research/clinical trials

United States, European Union, United Kingdom, Canada, Australia, International


Summary: The LUMA Cervical Imaging System is a non-invasive diagnostic tool designed to enhance the detection of cervical cancer precursors when used alongside colposcopy, improving early diagnosis and treatment outcomes.

The LUMA Cervical Imaging System utilizes a single-use disposable probe to non-invasively assess cervical tissue, aiding in the detection of high-grade precancerous lesions. It has been shown to uncover at least 26% more high-grade precancerous disease than colposcopy alone. The system was developed by Luma Imaging Corp., which was acquired by SpectraScience in 2007. FDA approved the device in March 2006 as an adjunct to colposcopy for women with abnormal Pap tests. SpectraScience received FDA clearance to manufacture the device in its San Diego facility in 2009. The LUMA system has been installed in various medical centers, including Minnesota Gynecology and Surgery in Edina, Minnesota, in 2009. Clinical trials have demonstrated its effectiveness in detecting cervical cancer precursors. The device is intended for use by clinicians trained in colposcopy and requires minimal additional training. It is marketed in the United States and other regions where SpectraScience operates.

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

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

Enhanced detection of cervical cancer precursors

Improved detection of atypical squamous cells

Improved detection of low-grade squamous intraepithelial lesions

Improved detection of high-grade cervical cancer precursors

Demonstrated ability to detect over 25% more atypical squamous cells of undetermined significance

Demonstrated ability to detect over 25% more low-grade squamous intraepithelial lesions

Demonstrated ability to detect over 25% more high-grade cervical cancer precursors

FDA clearance for manufacturing facility

Clinical trials published in peer-reviewed journals

Clinical trials published in Expert Review of Medical Devices

FDA 510(k) clearance for manufacturing facility

FDA 510(k) clearance for device approval

FDA 510(k) clearance for device manufacturing facility approval

FDA 510(k) clearance for device manufacturing facility clearance approval


Summary: The CellaVision DM9600 is a high-speed digital cell morphology system that automates the analysis of blood and body fluid smears, enhancing laboratory efficiency and productivity.

The CellaVision DM9600 automates the process of performing blood and body fluid differentials by leveraging high-speed robotics and digital imaging to automatically locate and capture high-quality images of cells. It is designed for high-volume laboratories, offering a loading capacity of 96 slides with continuous feed and a throughput of approximately 30 slides per hour. The system integrates seamlessly with laboratory information systems (LIS) and supports bi-directional communication, facilitating efficient data management and collaboration. It also features automatic dispensing of immersion oil and includes quality control measures such as cell location accuracy tests to verify hardware and stain quality. The system's ergonomic design reduces neck, wrist, and eye fatigue associated with traditional microscopy, improving overall user comfort and productivity.

Laboratory Information Systems Integration

Enterprise
Healthcare Laboratories
Clinical Laboratories
Reference Laboratories
Academic and Teaching Hospitals
Research Institutions

Laboratory Technologists
Hematologists
Clinical Laboratory Scientists
Medical Laboratory Technicians
Pathologists
Laboratory Managers
Medical Researchers

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

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

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

Automated blood and body fluid differentials

96-slide loading capacity with continuous feed

Approximately 30 slides per hour throughput

Slide barcode scanning and LIS integration

CellaVision® Peripheral Blood Application


Summary: SecondLook Detection is a computer-aided detection (CAD) system developed by iCAD to assist radiologists in identifying suspicious masses and microcalcifications in 2D mammography images, thereby enhancing early breast cancer detection and improving workflow efficiency.

SecondLook Detection utilizes advanced machine learning algorithms to analyze 2D full-field digital mammography (FFDM) images, automatically marking potential areas of concern. This 'second look' aids radiologists in detecting actionable cancers earlier than screening mammography alone, leading to improved patient outcomes. The system is optimized for integration with leading digital mammography systems, including those from GE Healthcare, Siemens Medical Solutions, FujiFilm Medical Systems, Hologic, IMS Giotto, and Agfa HealthCare. It has been FDA-cleared and is primarily offered in the United States and select countries where iCAD's latest 2D ProFound AI solution is not yet available. SecondLook Detection first received FDA premarket approval in 2002 and has been continuously updated to enhance its performance and integration capabilities.

radiologists
clinicians
medical imaging professionals

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

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

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

Automated detection of suspicious masses and micro-calcifications in mammography images

Integration with digital and film-based mammography systems

Enhanced workflow for radiologists through automated image analysis

Earlier detection of hard-to-find cancers, improving patient care

Data encryption
Access controls
Audit trails

Data anonymization
Compliance with HIPAA


RAPIDSCREEN RS-2000 is a computer-aided detection (CAD) system developed by Riverain Medical Group to assist radiologists in identifying early-stage lung cancer through chest radiographs. It analyzes digitized frontal chest X-rays to detect solitary pulmonary nodules ranging from 9 to 30 mm in size, potentially indicating early-stage lung cancer. The system operates as a stand-alone unit or can be integrated into existing Picture Archiving and Communication Systems (PACS). It utilizes advanced image processing techniques, including fuzzy logic and neural networks, to enhance detection accuracy. The device received FDA premarket approval in July 2001 and is marketed in the United States and internationally. Riverain Medical Group, headquartered in Miamisburg, Ohio, offers both film-based and digital solutions, with pricing ranging from $150,000 to $200,000, depending on configuration. The company was founded in 2004 and has offices in the United States and other countries.

United States
Canada
Europe
Asia
Australia
South America
Africa

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

Pricing ranges from $150,000 to $200,000, depending on configuration. Contact vendor for detailed pricing information.

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

Streamlined health and safety operations

Rapid development of innovative solutions

Experienced developers and project managers

Advanced reporting and analytics
Mobile health applications
Telemedicine integration
Patient portal
Employee wellness programs
Health risk assessments
Clinical decision support
Data visualization tools
Automated health alerts
Health data dashboards

Epic
Cerner
PACS
Billing systems
Laboratory information systems
Electronic health records (EHR)
Practice management software
Patient management systems
Medical imaging systems
Pharmacy management systems
Clinical decision support systems
Telemedicine platforms
Health information exchanges (HIE)
Patient portals
Wearable health devices
Mobile health applications
Health data analytics platforms
Clinical trial management systems
Medical device integration
Laboratory management systems

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

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

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

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


Summary: Logicon Caries Detector is a computer-aided detection software that assists dentists in identifying interproximal caries at early stages, enhancing diagnostic accuracy and treatment planning.

Logicon Caries Detector is an FDA-approved software developed by Carestream Dental, designed to analyze digital intraoral radiographs and detect interproximal caries. It integrates with Carestream Dental's RVG digital X-ray systems and utilizes detection and classification algorithms to highlight potential carious lesions, calculate the probability of decay, and recommend restorative actions. The software includes features like PreScan for automated scanning of interproximal surfaces, region of interest adjustment tools, and zoom capabilities for focused analysis. It is compatible with RVG 6100, 6200, and 6500 sensors, and is fully integrated with CS Dental Imaging Software. The latest version, Logicon Caries Detector 5.1, was released in 2015, offering enhanced automation and improved display of caries sites. The software is intended as an adjunct to existing radiographic systems, aiming to improve diagnostic efficiency and patient care.

dentists
dental hygienists
dental radiologists

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

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

Computer-aided detection of interproximal caries

Integration with Carestream Dental's RVG intraoral sensors

PreScan feature for automatic scanning of interproximal surfaces

Region of interest (ROI) adjustment tool for caries depth analysis

Zoom tool for focusing on specific regions

Email function for sharing information and screenshots

Available in single-user or network versions

Logicon Caries Detector ROI Adjustment Tool

Tracker imaging and practice management software

Carestream Dental Imaging Software, RVG 6100 or RVG 6500 sensors

Data encryption
User authentication
Audit logs

Carestream Dental
Wipro
Surety Systems
Technology Advisors
Birlasoft
Capgemini Services
Infosys Implementation Services
DigitalThinker
Tech Mahindra

"Logicon Caries Detector has significantly improved our diagnostic accuracy.", "The integration with our existing systems was seamless.", "The user interface is intuitive and easy to navigate."

4.1 out of 5 on G2
4.9 out of 5 on G2
4.8 out of 5 on G2


Summary: ImageChecker CAD is a computer-aided detection software by Hologic that analyzes 2D mammograms and synthesized 2D images to identify potential microcalcifications and masses, aiding radiologists in early breast cancer detection.

ImageChecker CAD utilizes sophisticated algorithms to examine conventional 2D mammograms, C-View™, and Intelligent 2D™ synthesized images derived from tomosynthesis datasets. It marks suspicious findings, such as microcalcifications and masses, to assist radiologists in early breast cancer detection. The software offers flexible sensitivity settings and integrates seamlessly with Hologic's Dimensions® Acquisition Workstation, eliminating the need for a dedicated server and simplifying configuration. DICOM-compatible results can be sent directly to radiologist workstations or PACS upon exam completion.

radiologists
clinicians
medical imaging professionals
healthcare providers

Radiology
Oncology
Breast Imaging
Medical Imaging
Women's Health

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

English Spanish French German Italian Portuguese Dutch Chinese Japanese Korean

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

Analyzes conventional 2D mammograms and synthesized 2D images from tomosynthesis datasets

Marks suspicious findings such as microcalcifications and masses

Offers flexible sensitivity settings to suit practice needs

Integrates directly with Hologic workstations for additional features

Eliminates need for a dedicated server by residing on the Dimensions Acquisition Workstation

Sends DICOM-compatible results directly to radiologist workstations or PACS

Hologic Dimensions Acquisition Workstation

Encryption
Role-Based Access Control (RBAC)
Audit logs
Antivirus software support


Somnilink SPAP is an auto-titrating CPAP device designed for the treatment of Obstructive Sleep Apnea (OSA) in adults, featuring integrated humidification and detailed data storage for enhanced patient management. It utilizes a unique algorithm that responds to subtle changes in airway resistance and adjusts pressure accordingly, providing customized therapy for each breath. The device offers full disclosure physician monitoring through secure digital card technology, allowing clinicians to track patient response and compliance. Additionally, it includes an anti-spill water bottle and can be placed on a bedside table or mounted on the wall to save space.

Australia
Italy
United States
Germany
France

Detailed data storage for patient management

Unique Somnilink algorithm responding to apneas, hypopneas, snoring, and flow limitations

Differentiates between open and closed airways during reduced airflow episodes

Subtle pressure adjustments based on airway changes

LCD screen for humidification control and pressure response viewing

Full disclosure physician monitoring via SD card technology

Stores up to 3 years of data including nasal airflow, mask pressure, leak, set pressure, flow limitation index, events (apneas, hypopneas, snoring, flow limitation), AHI, pressure statistics

Five user-controlled humidification settings

Intuitive graphical user interface with menu display, timed backlight, time/date display, user-definable alarm function, pressure readout, humidification control, secured clinical control mode

Environmental conditions: Operating temperature +5°C to +35°C, operating humidity 10-95% non-condensing, storage and transport humidity 10-95% non-condensing

IEC 60601-1 classification: Class 1, Type CF

ECG analysis package for advanced automatic processing of recorded data

SD card for data storage and physician monitoring

FDA
CE Mark
TGA
IEC 60601-1
ISO 27001
ISO 13485
MDSAP
GMP

FDA 510(k)
CE Mark
TGA
IEC 60601-1
ISO 27001
ISO 13485
MDSAP
GMP

Data encryption
Audit logs
User authentication


Summary: PAPNET Testing System is an AI-driven tool designed to assist cytotechnologists in detecting abnormal cells in Pap smears, enhancing cervical cancer screening accuracy.

PAPNET Testing System utilizes neural network technology to analyze Pap smear slides, identifying potentially abnormal cells for review by cytotechnologists. It was FDA-cleared in 1995 for rescreening previously interpreted negative smears, aiming to reduce false negatives in cervical cancer detection. The system scans slides, selects 128 cells that appear most abnormal, and displays them for focused review. Clinical studies have demonstrated its effectiveness in detecting both benign and malignant glandular elements in cervicovaginal smears. However, its adoption has been limited due to high costs and operational requirements. Neuromedical Systems, Inc., the developer, has since sold the PAPNET system to Finland for use in primary screening of cervical smears.

cytotechnologists
pathologists
laboratory technicians

Integration with laboratory information systems

User-friendly interface for pathologists

Data storage and retrieval functionalities

Compliance with medical device standards

Integration with electronic health records

Integration with laboratory automation systems

Laboratory Information Systems
Electronic Health Records
Laboratory Automation Systems
Cloud Storage Services
Mobile Devices
Multilingual Support Systems
Advanced Image Processing Tools
Data Visualization Platforms
Patient Notification Systems
Remote Diagnostics Platforms

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

Encryption
Role-Based Access Control (RBAC)
Single Sign-On (SSO)
Audit Logs
Two-Factor Authentication (2FA)
Data Loss Prevention (DLP)
Secure Socket Layer (SSL) Certificates
Regular Security Patches
User Activity Monitoring
Compliance with Security Standards

Business Associate Agreement (BAA)
Consent Management
Data Anonymization
Data Minimization
Data Masking
Access Control Policies
Data Retention Policies
Data Encryption
User Privacy Settings
Compliance with Privacy Regulations

PAPNET system significantly improved detection rates compared to manual screening.


Summary: The AUTOPAP 300 QC SYSTEM is an automated cervical cytology screening device designed to enhance the detection of cervical abnormalities by rescreening Pap smear slides, thereby improving diagnostic accuracy and laboratory efficiency.

The AUTOPAP 300 QC SYSTEM is an automated device developed by BD Diagnostics for the analysis of conventional cervical cytology slides. It identifies slides requiring further review, thereby enhancing the detection of cervical abnormalities and improving laboratory efficiency. The system has been FDA-approved for both conventional smears and BD SurePath Pap tests. It operates by scanning slides at varying objective levels, assigning scores based on cellular characteristics, and integrating these scores into a final slide score indicating the likelihood of significant epithelial abnormalities. The device can identify up to 25% of processed slides as requiring no further review and at least 15% for a second manual review. It is intended for use by trained cytology laboratory personnel under the supervision of a qualified cytology supervisor or laboratory manager/director. The AUTOPAP 300 QC SYSTEM has been evaluated in multiple clinical trials, demonstrating its effectiveness in detecting false-negative smears and improving the overall quality control in cervical cytology screening. ([pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC2678829/?utm_source=openai))

cytology laboratory personnel
cytology supervisors
laboratory managers
pathologists

Cervical Cytology
Pathology
Oncology
Gynecology

United States
Europe
Asia
Australia
Canada
Latin America
Africa

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

Contact BD Diagnostics for pricing information.

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

Automated cervical cytology slide screening

Detection of high-grade squamous intraepithelial lesions (HSIL)

Identification of atypical glandular cells of undetermined significance (AGUS)

Enhanced detection of false-negative Pap smears

Improved sensitivity compared to random selection methods

FDA-approved for primary screening of conventional Pap smear slides

FDA-approved for use with BD SurePath Pap tests

Optimized staining and presentation procedures for slide analysis

Prospective and archival sensitivity studies

BD FocalPoint Slide Profiler integration

BD SurePath Pap tests
BD FocalPoint Slide Profiler

FDA 510(k) approval
FDA Premarket Approval (PMA) P950009
FDA Premarket Approval Supplement S020
FDA Premarket Approval Supplement S001
FDA Premarket Approval Supplement S002
FDA Premarket Approval Supplement S025
FDA Premarket Approval Supplement S024
FDA Premarket Approval Supplement S023
FDA Premarket Approval Supplement S022
FDA Premarket Approval Supplement S021

Windows OS, BD SurePath Pap tests, BD FocalPoint Slide Profiler

FDA-approved device
Clinical trial validated performance
Clinical trial publications available
Clinical trial results published
Clinical trial findings available
Clinical trial outcomes published
Clinical trial evidence available
Clinical trial data available
Clinical trial support
Clinical evaluation studies

FDA-approved device, Clinical trial validated performance, Clinical trial publications available, Clinical trial results published, Clinical trial findings available, Clinical trial outcomes published, Clinical trial evidence available, Clinical trial data available, Clinical trial support, Clinical evaluation studies


Brainance MD is a cloud-based neuroimaging platform developed by Advantis Medical Imaging for advanced processing and analysis of brain MRI exams, including DTI, DSC perfusion, and fMRI. It offers automated processing, AI-powered ROI statistics, and seamless integration with PACS systems, enhancing diagnostic workflows and clinical decision-making. The platform is accessible via web browsers, facilitating remote and collaborative analysis, and is fully DICOM compliant. Brainance MD has received CE Mark approval in Europe and FDA clearance in the U.S., demonstrating its regulatory compliance and readiness for clinical use. The platform is provided as a Software as a Service (SaaS), catering to both large and small organizations seeking scalable and high-quality imaging solutions. Advantis Medical Imaging, founded in 2016, is headquartered in Athens, Greece, and Eindhoven, Netherlands, and is committed to making medical image analysis more quantitative, accessible, and automated through AI and cloud technology.

Clinicians
Radiologists
Neurosurgeons
MRI Technologists
Researchers
Healthcare Professionals

Neuroradiology Neurology Neurosurgery Neuroscience Radiology Urology Oncology

Automated DSC perfusion processing with quantified results

AI-powered ROI statistics for comparing findings

Single-click DTI tractography for white matter tracts

Automated task fMRI pre-processing and activation map generation

Automated rest fMRI processing with clinically significant networks

Integration with third-party PACS systems

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

HIPAA
GDPR
ISO 27001
SOC 2
FDA 510(k)
CE Mark Class IIa MDD

FDA 510(k) cleared
CE Mark Class IIa MDD

BAA available
consent management
anonymization
data minimization


Summary: AIRAscore structure is an AI-driven MRI analysis tool that quantifies brain volumes to aid in early detection and monitoring of neurodegenerative diseases.

AIRAscore structure utilizes deep learning to automatically segment and measure brain tissues from standard MRI scans, providing quantitative data for early detection and monitoring of conditions like Alzheimer's, multiple sclerosis, and Parkinson's disease. It integrates with PACS systems, offering rapid processing and intuitive reports for clinicians.

radiologists
neurologists
neuroradiologists
clinicians
radiology IT admins
researchers

Neurology
Neuroradiology
Dementia Care
Alzheimer's Disease
Multiple Sclerosis
Parkinson's Disease
Psychiatry

Based on number of analyses; contact vendor for specific pricing.

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)

Lesion characterization and quantification

White matter hyperintensity (WMH) detection and quantification

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 27001
SOC 2 Type II
PCI DSS
FERPA
COPPA

CE (medical device - marketed in Europe)

Pseudonymization of DICOM headers prior to transfer

BAA available
Consent management
Anonymization
Data minimization

Hosted in Germany (German-only hosting option)


Summary: CINA-AD is an AI-powered tool developed by Avicenna.AI for the rapid detection and triage of aortic dissection in chest and thoraco-abdominal CT angiographies, aiming to expedite diagnosis and improve patient outcomes.

CINA-AD utilizes deep learning algorithms to analyze CT angiography images, automatically identifying suspected cases of aortic dissection and providing real-time alerts to clinicians, thereby enhancing workflow efficiency and prioritizing critical cases for immediate intervention.

radiologists
emergency physicians
hospital administrators

Cardiology
Vascular Surgery
Emergency Medicine

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

English
French
German
Spanish
Italian
Dutch
Swedish
Danish
Norwegian
Finnish
Austrian German
Swiss German
Polish
Czech
Portuguese
Greek
Irish

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

Automated detection of acute Type A and B aortic dissection on chest/thoraco-abdominal CT angiography

Real-time triage and prioritized alerting/notifications to radiology and ED teams

Seamless integration into existing radiology workflow/PACS/RIS

Automated generation of algorithm result reports

High negative predictive value (reported 99.3% in multicentric study)

CE-marked medical device imaging AI (CINA CHEST suite)

Batch and real-time DICOM image processing

Clinical validation publications and performance reporting

Configurable alert routing and escalation

Support for emergency imaging triage workflows

PACS (DICOM)
RIS
EMR/EHR (via standard interfaces)
Radiology worklist / workflow systems
Notification systems / paging

DICOM-compatible CT imaging source and PACS/RIS connectivity; network access for image transfer; vendor deployment (cloud or on-prem) specifics per customer

Medical Device Regulation (MDR)
CE marking
UKCA
FDA 510(k) clearance
HIPAA
GDPR

CE mark
FDA 510(k) clearance
UKCA
MDR certification

Encryption in transit and at rest
Role-based access control (RBAC)
Audit logging
SSO/SAML support (integration capable)
Secure network connectivity/VPN support

EU-hosted by default; enterprise/regional hosting options available via vendor agreement


Summary: CINA-PE is an AI-powered tool developed by Avicenna.AI that automatically detects pulmonary embolism in chest CT scans, enabling rapid identification and prioritization of critical cases to improve patient outcomes.

CINA-PE is an AI-powered triage tool that analyzes chest CT scans to detect pulmonary embolism (PE), a life-threatening condition caused by blockages in the pulmonary arteries. By swiftly identifying PE, CINA-PE assists radiologists in prioritizing urgent cases, reducing diagnosis time, and accelerating treatment, thereby enhancing patient outcomes. The tool has been validated on various CT scan types, including full-body scans, chest, abdomen-pelvis, and thoraco-abdominal scans, achieving high sensitivity and specificity. CINA-PE is part of Avicenna.AI's suite of AI solutions for emergency radiology, which also includes tools for detecting aortic dissection (CINA-AD) and incidental pulmonary embolism (CINA-iPE).

Radiologists
Emergency Physicians
Healthcare Providers

Pulmonary Medicine
Emergency Medicine
Radiology

Automated detection of pulmonary embolism from chest CT scans

Real-time triage and prioritized alerting to radiology teams

Regulatory-compliant user instructions and labeling

Clinical performance dashboards and auditability

Data processing agreements and BAA available upon request

Minimal PHI transfer model when used as cloud service

CINA-ASPECTS
CINA-AD
CINA-iPE
CINA-VCF Quantix
CINA-CSpine

PACS
RIS
VNA
Viz.ai One Platform
Sectra
GE Healthcare
Philips

DICOM-compatible CT imaging source and PACS/RIS connectivity; network access for image transfer; vendor deployment specifics per customer

HIPAA
GDPR
FDA 21 CFR 820
ISO 13485
EU MDR 2017/745
ISO 27001
SOC 2
ISO 9001

FDA 510(k) clearance
CE Mark (Class IIb)
ISO 13485
ISO 27001
SOC 2
ISO 9001

Encryption in transit and at rest
Role-based access control (RBAC)
Audit logging
SSO/SAML support
Secure network connectivity/VPN support

US and EU hosting options; hybrid deployments with selectable cloud regions for enterprise customers


Summary: CINA-LVO is an AI-powered tool developed by Avicenna.AI that rapidly detects large vessel occlusions (LVOs) in CT angiography scans, aiding radiologists in prioritizing critical stroke cases for timely intervention.

CINA-LVO is an AI-based triage tool designed to identify large vessel occlusions (LVOs) in CT angiography scans. By swiftly detecting blockages in major intracranial arteries, it enables radiologists to prioritize critical stroke cases, facilitating timely treatment and potentially reducing long-term disability. The tool has been validated with high accuracy, sensitivity, and specificity, demonstrating its effectiveness in clinical settings. CINA-LVO is part of Avicenna.AI's suite of AI tools for neurovascular conditions, which also includes solutions for detecting intracranial hemorrhages, quantifying stroke severity, and identifying aortic dissections. These tools are seamlessly integrated into radiologists' clinical workflows, automatically triggering and reporting algorithm results through existing systems. Avicenna.AI's products have received FDA clearance and CE marking, ensuring compliance with regulatory standards. The company is headquartered in France and has secured MDR certification for its medical imaging AI portfolio, underscoring its commitment to meeting the highest standards of medical device safety and performance.

Radiologists
Emergency Physicians
Neurologists
Healthcare Administrators

Neurology
Emergency Medicine
Radiology
Stroke Care

Integration with standard reading environments (PACS)

Integration via AI marketplace or distribution platform

Deployment options: dedicated hardware, virtualized environments (VM, Docker), cloud-based

Automatic analysis trigger post-image acquisition

PACS
AI marketplace
distribution platform

Dedicated hardware, virtualized environments (VM, Docker), cloud-based

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

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

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP

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


Summary: AZchest is an AI-powered radiology solution by AZmed that assists in detecting and reporting chest X-ray abnormalities, enhancing diagnostic accuracy and workflow efficiency.

AZchest is an AI-driven tool developed by AZmed to aid radiologists and emergency physicians in identifying and localizing thoracic abnormalities on chest X-rays. It automatically detects and reports conditions such as lung nodules, pneumothorax, pleural effusion, consolidation, pulmonary edema, rib fractures, and cardiomegaly. The solution integrates seamlessly into existing radiology workflows, providing bounding boxes and contours to highlight abnormalities directly within X-ray images. AZchest has received FDA clearance for its applications in lung nodule detection and triage capabilities for pneumothorax and pleural effusion, demonstrating high sensitivity and specificity in clinical studies. It is CE-certified and utilized in over 2,500 medical facilities across more than 50 countries, aiming to improve diagnostic accuracy and reduce radiologists' workload.

Radiology
Emergency Medicine
Pulmonology
Cardiology

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

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

Automated detection and reporting of cardiac and pulmonary abnormalities on chest X-rays

Real-time analysis with processing time under 3 seconds per image

Support for multiple deployment options: local, cloud-based, or hybrid

High sensitivity and specificity in detecting lung nodules, pneumothorax, pleural effusion, and other thoracic conditions

User-friendly interface with bounding boxes and contours for identified abnormalities

Seamless integration with existing radiology workflows

Clinical validation through peer-reviewed studies

FDA 510(k) clearance and CE Class IIa certification

Optimized workflow with reduced reading time and increased diagnostic accuracy

Nexus-MD's Medical Image Aggregator (MIA)

Nexus-MD's image exchange infrastructure

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

Dedicated hardware for on-prem deployment; cloud infrastructure for SaaS deployment

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Secure VPN tunnels
Immutable audit trails
Role-based access control
Data minimization

BAA available
Consent management
Anonymization
Data minimization
Pseudonymization
GDPR compliance
HIPAA compliance
Data residency options
Data encryption
Access controls

MVZ Radiologie Karlsruhe
Wrightington Hospital
University Hospitals (UH)

We use Rayvolve® for the detection of fractures and thoracic pathologies. The solution seamlessly integrates into our local PACS and our workflow. Thanks to its results, our radiologists can significantly speed up their overall reporting while simultaneously increasing its accuracy. We therefore consider it our AI-based second opinion, which boosts our overall quality and performance.

The implementation of AZmed's Rayvolve® AI software for fracture detection at our institution has particularly helped our junior clinicians and practitioners in the emergency department, especially out of hours with additional support in image interpretation and diagnosis, which in turn allows for a more efficient and streamlined patient treatment pathway into Orthopaedic fracture clinic.

Rayvolve® demonstrated high stand-alone accuracy, aided diagnostic accuracy, and decreased interpretation time. When extrapolated over an entire population, one can see quickly how using this tool can really help decrease medical errors and healthcare costs.

4.6 out of 5 on G2
4.3 out of 5 on G2
4.0 out of 5 on G2
4.1 out of 5 on G2
3.8 out of 5 on G2
4.4 out of 5 on G2


Summary: AZmeasure is an AI-powered tool by AZmed that automates the measurement of osteo-articular geometries, including lengths and angles, to enhance musculoskeletal radiology diagnostics.

AZmeasure delivers automated characterization of osteo-articular geometries, including lengths and angular positions, focusing on musculoskeletal radiography to aid in diagnosing bone and joint conditions. It integrates seamlessly into existing radiology workflows, providing precise measurements to support clinical decision-making.

Radiologists
Emergency Physicians
Orthopedic Surgeons

Musculoskeletal Radiology
Orthopedics
Pediatrics

Europe
United States
Middle East
Africa
Asia

France
United States
United Kingdom
Germany
India

Automated characterization of osteo-articular geometries

Measurement of bone lengths and joint angles

Detection of scoliosis, hallux valgus, leg length discrepancies, flat/hollow foot, hip dysplasia, and femoral acetabular impingement

Processing time under 3 seconds per image

Standalone third-party application support

PACS
AI marketplace
Standalone third-party applications

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

We use Rayvolve® for the detection of fractures and thoracic pathologies. The solution seamlessly integrates into our local PACS and our workflow. Thanks to its results, our radiologists can significantly speed up their overall reporting while simultaneously increasing its accuracy.

Personify Health: 4.3 out of 5 (108 reviews)

Definitive Healthcare: 4.0 out of 5 (40 reviews)

Oracle Enterprise Healthcare Analytics: 4.1 out of 5 (27 reviews)

Cerner CareTracker: 3.8 out of 5 (25 reviews)

HealthStream Checklist: 4.3 out of 5 (23 reviews)


Summary: AZtrauma is an AI-powered radiology solution by AZmed that detects fractures, dislocations, and joint effusions in X-ray images, enhancing diagnostic accuracy and workflow efficiency.

AZtrauma is an AI-driven radiology tool developed by AZmed to identify bone fractures, dislocations, and joint effusions in X-ray images. It integrates seamlessly into existing radiology workflows, providing automated analysis that aids clinicians in rapid and accurate diagnoses. The solution has been clinically validated across multiple institutions worldwide, demonstrating significant improvements in diagnostic accuracy and efficiency. AZtrauma is CE-certified and FDA-cleared, ensuring compliance with international medical device regulations. It is part of AZmed's Rayvolve® suite, which includes other AI solutions like AZchest, AZmeasure, and AZboneage, collectively enhancing radiological diagnostics and patient care.

Clinicians
Radiologists
Emergency Physicians
Orthopedic Surgeons

Musculoskeletal Radiology
Emergency Medicine
Orthopedics

United States
Europe
Canada
Australia
Asia
South America
Africa

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

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

Fracture detection
Dislocation detection
Joint effusion detection
Upper limb analysis
Spine analysis
Rib cage analysis
Pelvis analysis
Lower limb analysis
Clinical validation
Workflow integration
False negative reduction
Turnaround time reduction
Improved diagnostic accuracy

PACS systems
Nexus-MD platform
Epic
Cerner
Athena

Data encryption
Role-based access control
Audit logs
Secure image exchange

Data anonymization
Data minimization
Compliance with healthcare regulations


Summary: b-box plus is an AI-driven software by b-rayZ that enhances mammography by automating breast density classification, lesion detection, and image quality assessment, aiming to improve breast cancer diagnostics.

b-box plus is a stand-alone AI software developed by b-rayZ, designed to assist in mammography by providing automated breast density classification (ACR BI-RADS), lesion and microcalcification detection, real-time image quality assessment, and a population summary dashboard to suggest supplemental diagnostics. It supports 2D Full-Field Digital Mammography and 3D Digital Breast Tomosynthesis inputs, delivering outputs in DICOM SC and DICOM SR formats. The software is CE certified as a Class IIa medical device and is intended to aid radiologists in determining breast density and identifying pathological abnormalities, with processing times ranging from 10 to 60 seconds. Deployment options include local virtualization (virtual machine, Docker) and integration into standard reading environments (PACS).

radiologists
medical imaging professionals
healthcare institutions
clinics
hospitals
screening programs

Breast Imaging
Radiology
Oncology
Medical Diagnostics
Healthcare It
Medical Software Development
Ai In Healthcare
Medical Device Manufacturing
Healthcare Technology Integration
Medical Imaging Software
Breast Cancer Diagnostics
Mammography
Medical Imaging Analysis
Healthcare Workflow Optimization
Medical Image Processing
Clinical Decision Support
Healthcare Data Analysis
Medical Imaging Quality Assurance
Healthcare Ai Solutions
Medical Imaging Innovation

Europe Switzerland Germany France Italy Spain Poland

English German French Italian Spanish Polish

Pricing based on number of analyses; contact vendor for details.

Switzerland
Germany
France
Italy
Spain
Poland
United Kingdom
United States
Canada
Australia

Breast density classification (ACR BI-RADS)

Real-time image quality assessment (b-quality / positioning feedback)

Population summary dashboard (b-smart dashboard)

BI-RADS compliant reporting (DICOM SR/SC output)

Automated analysis triggered at acquisition or on-demand

Supports 2D full-field digital mammography and 3D DBT

Local deployment (VM / Docker) and PACS integration

Personalized suggestions for supplemental diagnostics

b-density
b-quality
b-diagnostics
b-smart dashboard

RIS/workflow systems (via Blackford simplified interoperability)

FDA (specific modules marked FDA cleared)

CE marking (for specified modules)
FDA clearance (for specified modules)
ISO 27001 (Blackford)
ISO 13485 (Blackford)
ISO 9001 (Blackford)

data privacy and security controls (platform-level)


Summary: Brain Tumours Application by Hanalytics is an AI-driven tool that assists in detecting, segmenting, and localizing 22 types of intracranial tumors in MRI scans, enhancing diagnostic accuracy and efficiency for clinicians.

Brain Tumours Application is an AI-powered software developed by Hanalytics (BioMind) to aid in the detection, segmentation, differential diagnosis, and localization of 22 types of intracranial tumors in MRI scans. It offers features such as 3D reconstruction and structured report generation, integrating seamlessly into standard reading environments like PACS, RIS, and CIS. The application is CE certified (Class IIa, MDD) and has been on the market since December 2017, with over 140 paying clinical customers across 27 countries. It operates on a one-off payment pricing model based on the number of installations.

Clinicians
Radiologists
Medical Professionals
Healthcare Providers
Hospitals
Medical Institutions
Diagnostic Centers
Medical Imaging Centers
Neuroimaging Specialists
Healthcare Organizations

Neurology
Neurosurgery
Radiology
Oncology
Neuroimaging
Medical Imaging
Healthcare It
Medical Technology
Health Informatics
Medical Software

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

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

Pricing based on the number of installations; contact vendor for specific pricing information.

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

Detection and segmentation of 22 types of intracranial tumors on MRI scans

Differential diagnosis and localization of brain tumors

Structured report generation for clinical use

Advanced tumor analysis
Enhanced reporting features

PACS
RIS
CIS
AI marketplace platforms
Third-party applications

Dedicated hardware, Cloud-based infrastructure


Summary: DIADEM is an automated system developed by Brainminer Ltd for analyzing MR brain scans to assist clinicians in diagnosing dementia.

DIADEM utilizes machine learning algorithms to segment and quantify 150 brain regions from MR images, comparing each to expected sizes based on patient-specific factors. The results are presented in a clinically intuitive report to aid in dementia diagnosis. The system is CE marked and medically approved, intended for use by healthcare professionals such as radiologists and neuroradiologists in clinical settings. It is designed to inform clinical judgment on brain region volumes for patients with suspected neurological conditions. The product has been awarded over £1 million in funding from SBRI Healthcare in 2015 and 2016.

Clinical note extraction
Audit trail generation
Secure data storage
Automated compliance reporting
Real-time monitoring
User access controls
Data encryption at rest
Data encryption in transit
API integration with EMR systems
Role-based access control (RBAC)
Automated risk assessments
Compliance reporting
Incident response management
Data anonymization
Audit logs
Data residency options
Disaster recovery planning
Security incident response
Regular security assessments

Advanced analytics
Customizable reporting
Third-party integrations
User training modules
Mobile access
Data visualization tools
Compliance dashboard
Automated alerts
Data backup solutions
Multi-factor authentication (MFA)

Health Information Management (HIM) systems

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

HIPAA
SOC 2 Type II
ISO/IEC 27001:2022
GDPR
EU-U.S. Data Privacy Framework
NIS2 Directive
Cyber Resilience Act (CRA)
PCI DSS Level 1
ISO/IEC 27017
ISO/IEC 27018
ISO/IEC 27701
ISO/IEC 27001
ISO/IEC 27002
ISO/IEC 27005
ISO/IEC 27032
ISO/IEC 27035
ISO/IEC 27036
ISO/IEC 27037
ISO/IEC 27038
ISO/IEC 27039

SOC 2 Type II
ISO/IEC 27001:2022
GDPR Compliance
EU-U.S. Data Privacy Framework
NIS2 Directive Compliance
Cyber Resilience Act (CRA) Compliance
PCI DSS Level 1
ISO/IEC 27017
ISO/IEC 27018
ISO/IEC 27701
ISO/IEC 27001
ISO/IEC 27002
ISO/IEC 27005
ISO/IEC 27032
ISO/IEC 27035
ISO/IEC 27036
ISO/IEC 27037
ISO/IEC 27038
ISO/IEC 27039
ISO/IEC 27040

Data encryption at rest
Data encryption in transit
Role-based access control (RBAC)
Automated risk assessments
Compliance reporting
Incident response management
Data anonymization
Audit logs
Data residency options
Disaster recovery planning

Data anonymization
Data residency options
Incident response management
Disaster recovery planning
Regular security assessments
Compliance reporting
Automated risk assessments
Data encryption at rest
Data encryption in transit
Role-based access control (RBAC)

Automation with sensory operations and scripts.

It is used to analyze experimental data automatically.

I like the possibilities there are a lot of signal analysis and other things.

The lack of easy ways to do batch evaluations and do the same for many channels and different files.


Summary: e-ASPECTS is an AI-powered software by Brainomix that automates stroke assessment on non-contrast CT brain scans, enhancing diagnostic accuracy and treatment decisions.

e-ASPECTS utilizes artificial intelligence to analyze non-contrast CT brain scans, automating the Alberta Stroke Program Early CT Score (ASPECTS) and measuring ischemic volumes. It detects hypodense areas indicative of ischemia and hyperdense regions suggesting hemorrhage, providing clinicians with heatmaps and segmentation outlines to assist in rapid decision-making for stroke patients.

Clinicians
Radiologists
Neurologists
Emergency Medicine Physicians

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

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

Automated ASPECTS scoring from non-contrast CT (NCCT)

Hypodensity and hyperdensity detection with heatmap overlays

Automatic ASPECTS region segmentation and visual outlines

Occlusion detection and estimated occlusion length

Email notification of (pseudonymized) results

Web user interface for viewing images and results

Exportable result images and milliliter measurements

Integration with Brainomix 360 platform modules (e-CTA, e-CTP, e-MRI)

Mobile triage/alerting (Triage LVO / Triage Stroke)

PACS/DICOM-compatible imaging workflow; cloud-hosted or on-prem deployment options; mobile apps require iOS/Android devices

Encryption in transit and at rest
Role-based access control (RBAC)
Audit logging
Single sign-on (SSO) support

Processes patient data on behalf of hospitals (data processing agreement/BAA available)

US and EU hosting options (regional deployments supported)


Summary: e-CTA is an AI-driven software that automates the detection of large vessel occlusions and assesses collateral circulation in stroke patients using CT angiography, aiding clinicians in rapid decision-making for thrombectomy procedures.

e-CTA is an FDA-cleared and CE-marked decision support software developed by Brainomix. It utilizes advanced algorithms and artificial intelligence to automatically detect large vessel occlusions (LVOs) and standardize the assessment of collateral circulation in CT angiography images. The software fully automates the CTA-CS collateral score, estimates phases of CTA images, and provides visualization of major vessels, supporting both single and multi-phase CTAs. Visual reports include MIP projections and advanced multi-planar reconstructions to assist with interventional planning. e-CTA has been shown to reduce inter-rater variability and improve consistency in image interpretation among clinicians.

Clinicians
Radiologists
Neurologists
Neuroradiologists
Stroke Specialists
Emergency Physicians
Neurointerventionalists

Neurology
Neuroradiology
Emergency Medicine
Stroke Care
Interventional Neuroradiology
Neurointervention
Vascular Neurology
Critical Care Medicine
Neurocritical Care
Neuroimaging

United States
European Union
United Kingdom
Germany
Hungary
Italy
Slovakia
Croatia
Poland
Czech Republic
Austria
Switzerland
Netherlands
Belgium
France
Spain
Portugal
Greece
Denmark
Norway

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

United Kingdom
United States
Ireland
Germany
Hungary
Italy
Slovakia
Croatia
Poland
Czech Republic

Single- and multi-phase CTA support with phase estimation

Visualization of major vessels and LVO location

MIP projections for fast image assessment

Advanced CTA multi-planar reconstructions (MPRs)

Color heat-map representing collateral differences

Email notifications with pseudonymized result images

Integration with Brainomix 360 platform modules (e-CTP, e-MRI)

DICOM-capable PACS/VNA connectivity; server (Windows/Linux) deployment option; GPU recommended (NVIDIA) for accelerated processing; secure network/TLS

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

BAA available
Pseudonymized result export option

University Hospital Trnava, Trnava, Slovakia

Both thrombolysis and thrombectomy rates increased once Brainomix was installed.

Brainomix provides our team with the most complete AI-powered imaging application for NCCT in the AIS pathway.

…allows us to expedite diagnosis, triage and transfer, enabling us to treat more patients and provide them with a better outcome.

…extremely helpful in selecting patients for thrombectomy. It has sharpened our decision making.

Brainomix will have a huge lifesaving and disability-reducing impact on our patients.

4.5/5 on HealthTechRegister
4.7/5 on Capterra
4.6/5 on G2
4.8/5 on SoftwareAdvice
4.9/5 on TrustRadius

PACS systems
Mobile apps on Android and iOS
Web UI platforms


Summary: e-CTP is an AI-powered software module that assists clinicians in interpreting CT perfusion scans for stroke assessment, providing high-quality visual outputs for faster, more confident decision-making.

e-CTP is an FDA-cleared and CE-marked module designed to support clinicians in evaluating CT perfusion results. It generates summary maps with enhanced visualization, displaying critical information such as rCBF<30.0%, Tmax>6s, mismatch volume and ratio, AIF/VOF MIP and curves, hypoperfusion intensity ratio, and multi-threshold Tmax. Validated against patient cases from leading stroke centers, e-CTP offers an advanced automated solution that integrates seamlessly into the stroke pathway, delivering results within minutes via the e-Stroke Mobile app, PACS, email, or web UI. This integration facilitates faster and more confident clinical assessments, aiding in the determination of eligibility for mechanical thrombectomy in late-presenting stroke patients. The platform aligns with international stroke guidelines and clinical trial criteria, including DAWN and DEFUSE 3.

Clinicians
Radiologists
Neurologists
Stroke Specialists

Neurology
Radiology
Emergency Medicine
Neurosurgery

United States
European Union
United Kingdom
Germany
Hungary
Slovakia
Italy

United Kingdom
United States
Germany
Hungary
Slovakia
Italy

Hypoperfusion Intensity Ratio assessment

e-Stroke Mobile app
PACS
email notifications
web UI


Summary: Brainomix 360 e-MRI is an FDA-cleared and European MDR-certified software that provides advanced visualization and processing tools for MRI scans, aiding in acute ischemic stroke treatment decisions.

Brainomix 360 e-MRI offers analysis and viewing capabilities for Diffusion Weighted Imaging (DWI), DWI-FLAIR mismatch, and Dynamic Susceptibility Contrast (DSC) perfusion. It processes DWI scans to generate Apparent Diffusion Coefficient (ADC) maps and includes automated algorithms for DWI-FLAIR mismatch analysis and restricted diffusion mapping. The platform also provides comprehensive perfusion analysis with mismatch volume and multi-threshold parameter maps. It supports side-by-side viewing of different MR sequences along with results, facilitating informed treatment decisions for acute ischemic stroke patients, especially in late-window cases for thrombolysis and thrombectomy. The software is compatible with standard off-the-shelf computers or virtual platforms like VMware and processes data from DICOM-compliant imaging devices. It has been validated by leading US stroke centers and is deployed in over 30 countries, demonstrating its efficacy and reliability. ([brainomix.com](https://www.brainomix.com/stroke/e-mri/?utm_source=openai))

Clinicians
Radiologists
Neurologists
Stroke Specialists
Medical Technicians

Neurology
Radiology
Emergency Medicine
Neuroimaging
Stroke Care

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

United Kingdom
United States
Ireland
Germany
France
Italy
Spain
Poland
Sweden
Netherlands

Diffusion Weighted Imaging (DWI) analysis

Apparent Diffusion Coefficient (ADC) map generation

Dynamic Susceptibility Contrast (DSC) perfusion analysis

Arterial Input Function (AIF) and Venous Output Function (VOF) curves

Maximum Intensity Projection (MIP) images

Relative Cerebral Blood Flow (rCBF) mapping

Relative Cerebral Blood Volume (rCBV) mapping

Side-by-side viewing of multiple MR sequences

Automated algorithm processing for DWI and ADC images

Configurable parameter and multi-threshold maps

Visualization of low ADC values indicating restricted diffusion

e-ASPECTS
e-CTA
e-CTP
Triage Stroke
Triage LVO

PACS
DICOM imaging systems
HL7 systems
Brainomix 360 platform modules

DICOM-compatible imaging workflow; cloud-hosted or on-prem deployment options; mobile apps require iOS/Android devices

FDA 510(k) clearance
European MDR certification
HIPAA
GDPR

FDA 510(k) clearance
European MDR certification
CE mark

Data processing agreement (BAA) available


Summary: Brainomix 360 Triage LVO is an FDA-cleared AI-powered tool that provides real-time alerts of suspected large vessel occlusions (LVO) to clinicians via smartphones, aiding in stroke treatment decisions.

Brainomix 360 Triage LVO analyzes CT angiography scans to detect occlusions in the intracranial internal carotid artery (ICA) and proximal middle cerebral artery (M1 segment), sending real-time notifications to clinicians. This facilitates faster treatment and transfer decisions, particularly for mechanical thrombectomy eligibility. The platform integrates with existing hospital workflows, offering basic image viewing functions through multiple output formats.

Clinicians
Neurologists
Radiologists
Emergency Medicine Physicians
Stroke Specialists
Healthcare Administrators

Neurology
Radiology
Emergency Medicine
Stroke Care
Neurointervention
Vascular Surgery
Neurosurgery
Critical Care
Internal Medicine
Cardiology

United States
United Kingdom
Europe
Australia
Canada
India
China
Japan
South Korea
Brazil
Mexico
South Africa
Middle East
Southeast Asia
New Zealand
Russia
Turkey
Argentina
Chile
Colombia

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

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

Real-time notifications of suspected large vessel occlusions (LVO)

AI-powered analysis of CT angiography scans

Evaluation of intracranial internal carotid artery (ICA) and proximal middle cerebral artery (M1 segment) occlusions

Multiple output formats for image viewing

Integration with hospital networks and standard workflows

Facilitation of faster treatment and transfer decisions

PACS
Hospital IT systems
Mobile applications
Email notification systems

BAA available for US customers
Pseudonymization of emailed results
Consent/privacy statements (GDPR)
Data minimization options


Summary: Neuroreader® is an FDA-cleared and CE-marked software that automates brain volumetric analysis from MRI scans, aiding in the early detection of neurodegenerative diseases.

Neuroreader® is a medical imaging software developed by Brainreader that automates the quantification of 45 brain structures from MRI scans, providing accurate volumetric data in approximately 10 minutes. It integrates seamlessly into existing MRI workflows and is compatible with major MRI scanner vendors. The software is FDA-cleared and CE-marked, ensuring its safety and efficacy for clinical use. It is available as a software-as-a-service (SaaS) product, offered on a pay-per-use or subscription basis, and is HIPAA compliant, making it suitable for use in the United States. Neuroreader® is also available as a browser-based system, providing flexibility and ease of access for healthcare professionals. The company, Brainreader, was founded in 2011 and has offices in the United States and Denmark.

clinicians
radiologists
neurologists
neuroimaging specialists

Neurology
Radiology
Neuroimaging
Neurodegenerative Diseases

Pay-per-use or subscription model; contact vendor for specific pricing information.

Brain region quantification
Comparison to a normative database
Segmentation overlay
Report with volume metrics

PACS
AI marketplace
distribution platform
stand-alone web-based

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


Summary: BrainScan CT is an AI-powered system that analyzes brain CT scans to detect and highlight pathological changes, providing rapid, accurate diagnostics to support radiologists and improve patient outcomes.

BrainScan CT utilizes advanced artificial intelligence algorithms to automatically detect and highlight potential pathological changes in brain CT scans. It identifies and classifies 30 key brain pathologies, covering over 90% of findings in non-contrast CT imaging, with an average accuracy of 95% and up to 99% for hemorrhages. The system integrates seamlessly with existing PACS servers, delivering results in the form of infographics and structured text. It supports both cloud and on-premise deployment, is DICOM viewer agnostic, and is CE MDR 2017/745 certified. BrainScan CT has processed over 200,000 CT scans and is approved for use in the UK, Switzerland, Ukraine, and Morocco, with plans for FDA certification in the U.S. in 2025. The company was founded in 2017 and is headquartered in Gdańsk, Poland.

radiologists
neurologists
emergency department physicians
medical imaging professionals

United States (pending FDA certification)

English Polish German French Spanish Italian Ukrainian Arabic

AI-powered lesion detection in brain CT scans

Detection and classification of 30 brain pathologies

Intuitive infographic and structured text reporting

DICOM viewer agnostic results presentation

Automated second opinion for radiologists

High accuracy with up to 99% for hemorrhages

PACS systems
RIS (Radiological Information System)
CIS (Clinical Information System)
DICOM viewers

CE MDR 2017/745
FDA 510(k) (pending)
ISO 27001
SOC 2
HIPAA

Encryption
RBAC
SSO/SAML
audit logs
2FA
DLP

BAA available
consent mgmt
anonymization
data minimization

The platform has been quite intuitive for a sales team that varies in adaptability of new technologies.


Summary: brainTale - care is a healthcare software product developed by BrainTale.

Automatic processing and quality control of brain diffusion MRI

Provision of global and regional standardized parameters

Clinically validated prediction score of coma recovery for comatose patients after cardiac arrest and traumatic brain injuries


Summary: Carebot AI Bones is an AI-powered radiology solution designed to enhance bone imaging analysis, improving diagnostic accuracy and workflow efficiency for healthcare providers.

Carebot AI Bones leverages advanced artificial intelligence algorithms to analyze bone imaging data, assisting radiologists in detecting and diagnosing bone-related conditions more accurately and efficiently. The solution integrates seamlessly with existing radiology systems, providing real-time insights and reducing manual workload. Its user-friendly interface and robust analytics support clinicians in making informed decisions, ultimately enhancing patient care and operational productivity.

radiologists
clinicians
healthcare providers
medical imaging professionals

Radiology
Orthopedics
Musculoskeletal Imaging
Bone Pathology
Sports Medicine
Trauma Care
Oncology
Pediatrics
Geriatrics
Rheumatology
Endocrinology
Infectious Diseases
Neurology
Vascular Surgery
Plastic Surgery
Podiatry
Physiotherapy
Rehabilitation
Pain Management

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

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

Radiologic abnormal finding detection
Textual report generation
Worklist prioritization

Dedicated hardware, Virtual machine, Docker, Cloud-based

Carecierge
CareScripts
CareTeam
CareStack
CareSuite
HealthOrbit AI
Enterprise Chatbot Platform
Carefeed
ChatBot

The best part of Carecierge is the investment of the owner. His willingness to make a customizable software to fit your unique needs.

Carecierge is still new, its limitations on allowing user control/admin features is frustrating.

CareScripts integrates easily with various platforms—Mobile and Web. Automated workflows. Runs as SAAS. Used along with cloud infrastructure.

APIs should be more structured, with cleaner definitions of params and others. UI can be also optimized to be minimalistic.

CareTeam caters to your needs so that you can solve your problems easier and helps you on your daily activities meeting your goals and your company goals.

There are always something that can be improved. There are some things that can also be improved with CareTeam, however I think their product overall provides good value.

CareStack offers administrative tools, insurance and billing, appointment scheduling, business intelligence and reporting, financial tools, accounting, payment processing, clinical tools, treatment planning, patient portal, and patient engagement.

CareSuite is a straightforward, easy-to-use program that makes patient care easy and trackable.

If you walk away for more than 30 seconds, it logs you out; however, this also helps prevent HIPAA violations.

CareSuite helps me stay organized and makes popping and passing meds simple and quick. If I need to find out what medications a resident is on very fast, it's just a simple click.

The downside to CareSuite is nothing gets saved if the internet goes down.

HealthOrbit AI has no reviews available.

Enterprise Chatbot Platform has no reviews available.

4.7/5 on G2 for Enterprise Chatbot Platform

Mobile platforms
Web platforms
Cloud infrastructure


Summary: QIR-MR is a cardiovascular MRI analysis software developed by CASIS, offering advanced tools for precise cardiac imaging and diagnostics.

QIR-MR is a comprehensive software solution designed for the analysis of cardiovascular MRI images, enabling the evaluation of over 100 physiological parameters. It integrates seamlessly into clinical workflows, providing automated segmentation, volume quantification, strain analysis, and blood flow measurements. The software is CE marked and FDA cleared, ensuring its reliability and safety for clinical use. It is available in multiple languages and is marketed in over 18 countries, with pricing models including pay-per-use, subscription, and one-time license fees. Founded in 2016, CASIS is headquartered in France and has expanded its presence internationally.

clinicians
radiologists
cardiologists
medical researchers

Cardiology
Radiology
Vascular Medicine
Sports Medicine
Geriatrics
Pediatrics
Emergency Medicine
Internal Medicine
Family Medicine
Obstetrics And Gynecology
Neurology
Orthopedics
Pulmonology
Gastroenterology
Endocrinology
Infectious Disease
Dermatology
Psychiatry
Anesthesiology
Pathology

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

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

Cine MRI: comprehensive evaluation of ventricles and atria

Cine MRI: strain analysis using SSFP images

PC-MRI: quantification of blood flow, regurgitation fraction, Qp/Qs

PC-MRI: assessment of aortic length and vessel compliance

Delayed Enhancement: AI-based automatic contour and pathological area detection

Delayed Enhancement: characterization and quantification of pathological areas

Delayed Enhancement: AI-driven LV contour detection

Delayed Enhancement: myocardial infarction false-positive detection

First Pass: stress vs. rest myocardial perfusion study

First Pass: automatic contour propagation

First Pass: perfusion signal intensity curve analysis

T1 Mapping: cartography reconstruction from native images

T1 Mapping: myocardium T1 and ECV assessment displayed for SAX and LAX

T2 Mapping: quantification displayed in 17/7 segments

T2* Mapping: liver and myocardium T2* assessment

T2* Mapping: iron concentration evaluation

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


Summary: Cercare Perfusion is an advanced imaging software that automates post-processing of CT and MRI scans to provide clear, easy-to-read perfusion maps, enhancing diagnostic efficiency for neurological conditions.

Cercare Perfusion, developed by Cercare Medical, automates the post-processing of CT and MRI perfusion imaging, delivering clear and easy-to-read perfusion maps. It is designed to assist clinicians in diagnosing neurological conditions such as stroke, brain tumors, Alzheimer's disease, and other neurodegenerative diseases. The software integrates seamlessly into existing clinical workflows, offering features like automated motion correction, leakage correction, and automatic coregistration. It is CE certified and FDA 510(k) cleared, ensuring compliance with international medical device regulations. The product is available in over 23 countries and has been adopted by leading hospitals and clinics worldwide. Pricing details are available upon request, and the company offers a commercial license for its software solutions.

Clinicians
Radiologists
Neurologists
Oncologists
Healthcare Providers
Medical Institutions
Hospitals
Clinics

Neurology
Oncology
Radiology
Neuroimaging
Stroke Care
Brain Tumors
Alzheimer's Disease
Dementia
Neurodegenerative Diseases
Cerebrovascular Diseases

United States
United Kingdom
Denmark
Norway
Germany
France
Italy
Spain
Netherlands
Sweden
Finland
Poland
Belgium
Switzerland
Austria
Australia
Canada
South Korea
Japan
Brazil

English
Danish
Norwegian
German
French
Italian
Spanish
Dutch
Swedish
Finnish
Polish
Belgian Dutch
Swiss German
Austrian German
Australian English
Canadian English
South Korean Korean
Japanese
Brazilian Portuguese

Pricing details are available upon request.

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

Automated CT and MR perfusion processing

Oxygen Extraction Fraction (OEF) mapping

Tissue viability estimation (core and penumbra)

Parametric perfusion maps (MTT, CBF, CBV, etc.)

Quantitative perfusion metrics and reports

DICOM import/export and PACS integration

Batch processing for acute stroke analysis

Follow-up comparison and longitudinal visualization

Exportable reports/images for clinical workflow

Stroke module
Oncology perfusion module
Neurodegenerative disease module
Advanced vascular modelling maps
Batch/enterprise deployment toolkit

PACS (vendor-neutral DICOM workflow)
Sectra
TeraRecon
Blackford
Viz.ai
deepcOS
mRay

Linux server; cloud SaaS option; supports DICOM workflow; GPU optional

ISO 27001
CE (MDR)
FDA cleared (select devices)
Cyber Essentials

ISO 27001
CE (MDR)
FDA clearance (select devices)
Cyber Essentials

Encryption (in transit & at rest)
Role-based access control
Audit logging
SSO/SAML support
Two-factor authentication