AI Model Detects Atrial Septal Defects From Electrocardiograms
Shinichi Goto, PhD, at Brigham and Women’s Hospital, and colleagues have developed a deep learning–based model that detects subtle changes in standard 12-lead electrocardiography data to flag patients who should undergo echocardiography to evaluate possible atrial septal defect.
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