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Article

Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation models

2025-03-05

Abstract excerpt

<h4>Background</h4> The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostics, yet existing artificial intelligence (AI) solutions for automated interpretation often lack generalizability, remain closed-source, and are primarily trained using supervised learning, limiting their adaptability across diverse clinical settings. To address these challenges, we developed and compared two open-sou...

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Literature Corpus work
ccde00d6-7bc6-50ea-9293-eb1796907092
DOI
10.1101/2025.03.02.25322575
Open publication

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Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation modelsDOI 10.1101/2025.03.02.25322575
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