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Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-lead Electrocardiograms

2022-01-18

Abstract excerpt

Artificial intelligence (AI) models applied to 12-lead electrocardiogram (ECG) waveforms can predict atrial fibrillation (AF), a heritable and morbid arrhythmia. We hypothesized that there may be a genetic basis for ECG-AI based risk estimates. We applied an ECG-AI model for predicting incident AF to ECGs from 39,986 UK Biobank participants without AF. We then performed a genome-wide association study (GWAS) of th...

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Literature Corpus work
a07cae8f-aef5-5536-a1e9-c0d52260e941
DOI
10.1101/2022.01.17.22269357
Open publication

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Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-lead ElectrocardiogramsDOI 10.1101/2022.01.17.22269357
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