1. Cardiac arrhythmias
2. Electrophysiology
3. Biological pacemakers
4. Artificial intelligence
MD. National Cheng-Kung University
Ph.D. National Yang-Ming University
Post-doctor fellow, Heart Institute, Cedar Sinai Medical Center, USA
Attending physician, Division of Cardiology, Taipei Veterans General Hospital.
The deep learning model of A.I. successfully identified different patterns of arrhythmias. The accuracy of arrhythmias classification was more than 0.9. A different panels of arrhythmia identification from IBMS are also undergoing validation.