Publications
Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.
Wang X, et al.
Circ Genom Precis Med. 2023 Aug;16(4):340-349. doi: 10.1161/CIRCGEN.122.003808. Epub 2023 Jun 6.
PMID: 37278238
Phenotypes
- ECG-AI model predicted atrial fibrillation risk
Experiment summary
This study analyzed genetic associations for atrial fibrillation risk, as predicted by an artificial intelligence model applied to 12-lead ECG waveforms, in 39,986 UK Biobank participants of European ancestry without atrial fibrillation.
Dataset ID
Wang2023_AIpredictedAF_EU