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Reviewed 11 May 2026

Completeness Strong (75%)

Ligence Heart

Ligence has developed a platform for automated analysis and reporting of 2D transthoracic echocardiography studies. The Ligence Heart platform reads DICOM format data, recognises image views, heart cycle, performs measurements and generates a report based on findings. It allows medical practitioners to skip manual measurements during the examination.

No papers to support — we monitor for new evidence.

Key Features

Area quantification
Disease recognition
Distance quantification
Doppler modality quantification
Volume quantification

General Information

Product name

Ligence Heart

Company

Ligence

Modality

Ultrasound

Main task

Not specified

Subspeciality

Cardiac

Disease targeted

Heart failure, cardiomyopathy of any type, pulmonary hypertension, valvular heart diseases

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Papers

Abstract: Artificial intelligence in echocardiography - Steps to automatic cardiac measurements in routine practice

Abstract: Deep learning in segmentation and function evaluation of right ventricle in 2D echocardiography

Abstract: Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks

Technical Specifications

Patient population age

Not specified

Input

2D TTE DICOM images, loops

Input format

DICOM loops

Output

Segmentation overlay, measurements, draft examination report, table of quantified values

Output format

CSV, Free text, PDF, Web

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 webbased

Deployment

Locally on dedicated hardware, 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

Adult, 18+ years old, no congenital malformations, no arrhythmia

Market Presence

On market since

04-2022

AI Platforms

Alma Health Platform, Blackford Analysis, CARPL.AI, deepc, HCKonnect, Philips Healthcare

Resellers

Not specified

Countries present

Paying clinical customers

Research/test users

Pricing Information

Pricing model

One-time license fee

Based on

Number of installations

Source: Vendor | First published: Apr 29, 2022 | Last updated: May 11, 2026