Back to search

Article

Agentic Autodiscovery of Diastolic Dysfunction Phenotypes from Surface Electrocardiogram

2026-06-23

Abstract excerpt

<h4>Background</h4> Left ventricular diastolic dysfunction (LVDD) is a major determinant of heart failure (HF), yet its assessment relies on multiparametric echocardiography, limiting scalability. We previously demonstrated that generative artificial intelligence (AI) can synthesize tissue Doppler imaging (TDI) waveforms from the 12-lead ECG. The growing complexity of candidate architecture creates a need for aut...

Topics

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

Identifiers and source

Literature Corpus work
092bbcb0-6352-5ee0-968f-4dba4d8ea7bb
DOI
10.64898/2026.06.17.26355897
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.
Agentic Autodiscovery of Diastolic Dysfunction Phenotypes from Surface ElectrocardiogramDOI 10.64898/2026.06.17.26355897
Select a neighboring publication to make it the new centre.