Atrial septal defects (ASDs) encompass a spectrum of interatrial communications that permit left-to-right shunting, leading to right heart volume overload and eventual pulmonary vascular changes.

Investigators from Brigham and Women's Hospital and Keio University in Japan have developed a deep learning artificial intelligence model to screen electrocardiogram (ECG) for signs of atrial septal ...

The AI model was more efficient at detecting signatures of atrial septal defect (ASD) in electrocardiograms (ECG) than traditional methods. Investigators from Brigham and Women's Hospital, a founding ...