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ProductsAI4CMR

Vendor source

Reviewed 11 May 2026

Completeness Strong (69%)

The AI4CMR software performs a automatic cardiac segmentation and interpretation of Cardiac Magnetic Resonance (CMR), allowing quantification of various parameters without the need for intervention by a medical professional.
It automatically identifies cases with normal left and right ventricle wall motion (regional contractility), aimed at increasing awareness for the cases with suspicious wall motion abnormalities to the reporting physicians.

No papers to support — we monitor for new evidence.

Key features

And ejection fraction

Heart ventricles segmentation

Myocardial mass

Quantification of ventricular volumes

Wall motion classification

General Information

Product name

AI4CMR

Modality

MR

Main task

Not specified

Subspeciality

Cardiac

Disease targeted

Heart failure, ischemic heart disease, valvular heart disease, cardiomyopathy, cardiac function and morphology, hypertensive cardiac disease, other pathologies that need assessment of cardiac function and morphology

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Not specified

Input

3D, 4D, Cine MRI, short-axis (mandatory), 2-chamber (optional), 3-chamber (optional), 4-chamber (optional), patient sex (mandatory), patient age (mandatory), patient height (optional), patient weight (optional), patient heart rate (optional)

Input format

DICOM

Output

Heart ventricles segmentation coordinates, report with values of ventricular volumes, myocardial mass, and ejection fraction, binary assessment of wall motion normality

Output format

JSON

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

10 - 60 seconds

Population

Patients examined by CMR imaging. Not recommended for children (age < 18yo).

Market Presence

On market since

09-2021

AI Platforms

Blackford Analysis, HCKonnect, Philips Healthcare

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-off payment, Subscription

Based on

Number of analyses

Source: Vendor | First published: Jul 26, 2022 | Last updated: May 11, 2026

AI4CMR - AI4MedImaging