Back to search

Article

Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational Study

2026-07-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Heart failure with reduced ejection fraction (HFrEF) remains a major global health burden. Most electrocardiogram (ECG)-based artificial intelligence models are limited to diagnostic tasks or fixed-horizon prognostic classification and provide little insight into the temporal evolution of risk. In addition, concerns regarding model interpretability continue to impede clinica...

Topics

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

Identifiers and source

Literature Corpus work
34e21dac-584b-5021-afd2-85bb52a124c3
DOI
10.64898/2026.07.08.26356558
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.
Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudyDOI 10.64898/2026.07.08.26356558
Select a neighboring publication to make it the new centre.