Back to search

Article

Deep learning on 3D ECG geometry predicts ischemia

2025-10-30

Abstract excerpt

<h4>Background</h4> Three-dimensional (3D) electrocardiography (ECG) is a recent methodological advance that extends the dimensionality of the standard ECG, enabling geometric descriptors that capture acute ischemia. Integrating these descriptors with deep learning (DL) may improve the discrimination between ischemic and non-ischemic states and promote the clinical translation of 3D ECG analysis. <h4>Methods</h4>...

Topics

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

Identifiers and source

Literature Corpus work
63c00537-9367-50fb-87ec-838d4a2e4f1b
DOI
10.1101/2025.10.29.25339046
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.
Deep learning on 3D ECG geometry predicts ischemiaDOI 10.1101/2025.10.29.25339046
Select a neighboring publication to make it the new centre.