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Ligence Heart
Ligence Heart
Ligence Heart
Ligence Heart thumbnail 1
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Key Features

  • Area quantification
  • Disease recognition
  • Distance quantification
  • Doppler modality quantification
  • Volume quantification

General Information

Product name

Ligence Heart

Company

Subspeciality

Cardiac

Modality

Ultrasound

Disease targeted

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

Main task

Not specified

Technical Specifications

Population

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

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, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

04-2022

AI Platforms

Alma Health Platform, Blackford Analysis, Deepc

Resellers

Not specified

Countries present

2

Paying clinical customers

1

Research/test users

1

Pricing Information

Pricing model

One-time license fee

Based on

Number of installations

Evidence & Research

Technical Papers

Technical

View

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

Technical

View

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

Technical

View

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

Source: vendor | First published: Apr 29, 2022 | Last updated: Jul 9, 2025