Back to search

Article

AI-Enabled Echocardiography Identifies an Adverse Epicardial Adiposity Phenotype Associated with Cardiometabolic Dysfunction

2026-07-24

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Excess epicardial adipose tissue (EAT) is associated with cardiovascular-kidney-metabolic (CKM) dysfunction, but its assessment has traditionally required advanced imaging. We tested whether AI-enhanced echocardiography could enable scalable phenotyping of adverse epicardial adiposity and identify individuals at increased cardiometabolic risk. <h4>Methods</h4> We developed...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
34512ee4-917d-5faa-960b-2b8a93bed860
DOI
10.64898/2026.07.22.26358690
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AI-Enabled Echocardiography Identifies an Adverse Epicardial Adiposity Phenotype Associated with Cardiometabolic DysfunctionDOI 10.64898/2026.07.22.26358690
Select a neighboring publication to make it the new centre.