Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence‐Based Electrocardiogram Data
Integrating genetic risk and AI‐ECG–derived features enhances AF prediction beyond an established clinical model, supporting the use of combined digital and genetic biomarkers for risk stratification.