A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm and its physician overread in the diagnosis of atrial fibrillation

摘要

BackgroundAutomated electrocardiogram (ECG) interpretations may be erroneous, and lead to erroneous overreads, including for atrial fibrillation (AF). We compared the accuracy of the first version of a new deep neural network 12-Lead ECG algorithm (Cardiologs®) to the conventional Veritas algorithm in interpretation of AF.