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Integrating Clinical, Genetic, and Electrocardiogram-Based Artificial Intelligence to Estimate Risk of Incident Atrial Fibrillation

2024-08-14

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> AF risk estimation is feasible using clinical factors, inherited predisposition, and artificial intelligence (AI)-enabled electrocardiogram (ECG) analysis. <h4>Objective</h4> To test whether integrating these distinct risk signals improves AF risk estimation. <h4>Methods</h4> In the UK Biobank prospective cohort study, we estimated AF risk using three models derived from e...

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Literature Corpus work
9851eb19-37b7-577e-9549-4d32aedd3912
DOI
10.1101/2024.08.13.24311944
Open publication

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