AI model can detect atrial septal defect in ECGs with high accuracy
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 member of the Mass General Brigham healthcare system, and Keio University in Japan have developed a deep learning artificial intelligence model to screen electrocardiogram (ECG) for signs … Read more