The study was approved by the Institutional Review Board of Shanghai Children's Medical Center (Approval No. SCMCIRB-K2022037-1) with a patient exemption applied. All patients were examined with ...

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 ...

A routine heart screening uncovered a potentially serious medical condition in a Clearwater high school athlete, giving his family a chance to address the problem before it became a life-threatening ...

Patent foramen ovale (PFO) is a common congenital cardiac anomaly, generally responsible for cryptogenic stroke. Still, it can cause severe positional hypoxia via a right-to-left shunt if associated ...

Please provide your email address to receive an email when new articles are posted on . Artificial intelligence effectively detected atrial septal defect on ECGs from three separate institutions.

During repair of atrioventricular septal defect (AVSD), surgeons may leave an atrial level shunt when they have concerns about postoperative pulmonary hypertension, a hypoplastic right ventricle (RV), ...