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 ...
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 ...
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 ...
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