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Deep learning on 3D ECG geometry predicts ischemia

2025-10-30 cardiovascular medicine Title + abstract only
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BackgroundThree-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. MethodsECGs from seventeen patients with acute left anterior descending (LAD) artery stenosis (>50 %) were ob...

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