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The diagnosis of atrial fibrillation (AF) requires an electrocardiogram (ECG) during an AF episode although structural atrial changes and grossly abnormal ECG findings such as left atrial enlargement can also point to AF. However, if ECGs in normal sinus rhythm provided clues to the risk for AF, then more individuals could be evaluated closely for AF before the clinical diagnosis and receive treatment. These researchers hypothesized that more subtle ECG findings during normal sinus rhythm are also associated with AF.
In a retrospective ECG database of 180,922 patients with 649,931 ECGs, machine learning through artificial intelligence (AI) was used to develop a predictive model for AF from a single, normal sinus rhythm ECG. Approximately two…