AI Model Developed by Brigham Researchers Could Help Screen for Heart Defect
November 7, 2023
Keio University School of Medicine
An AI model has proven more efficient than traditional methods at detecting signs of atrial septal defect (ASD) in electrocardiograms (ECG).
Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham healthcare system, and the Keio University School of Medicine in Japan have developed a deep learning artificial intelligence model to screen electrocardiograms (ECGs) for signs of atrial septal defects (ASD). This condition can cause heart failure and is underreported due to a lack of symptoms before irreversible complications arise. The results of this research have been published in eClinicalMedicine.