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An ECG foundation model for generalizable cardiac function prediction across the lifespan

2026-05-27

Abstract excerpt

<h4>Background</h4> Artificial intelligence-enhanced electrocardiography (AI-ECG) enables scalable, low-cost cardiac dysfunction screening, but existing models are annotation-intensive and predominantly adult-derived, leaving paediatric generalizability uncertain. Paediatric cohorts exhibit highly variable cardiac morphology and function compared to adults, which may be useful for learning generalizable AI-ECG mo...

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Literature Corpus work
49915ffa-c1ef-53bc-b0ad-52ae79d8c214
DOI
10.64898/2026.05.26.26354128
Open publication

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An ECG foundation model for generalizable cardiac function prediction across the lifespanDOI 10.64898/2026.05.26.26354128
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