A research paper on artificial intelligence for detecting atrial septal defect from electrocardiograms has been published.

Our research group led by Yagi and Goto developed artificial intelligence to detect atrial septal defect from electrocardiograms and verified its accuracy using international multicenter data. The results of this research, "Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study," were published in the British Lancet journal "eClinical Medicine."

For details, please refer to the link/press release below.

https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(23)00318-8/fulltext

https://www.keio.ac.jp/ja/press-releases/2023/9/7/28-151502/

https://www.u-tokai.ac.jp/ud-medicine/news/6465/

https://www.brighamandwomens.org/about-bwh/newsroom/press-releases-detail?id=4508