|
|
|
| Progress of artificial intelligence applied in managing atrial fibrillation |
| LI Xiaorong, YANG Bing |
| (Department of Cardiology, Shanghai East Hospital, Tongji University, Shanghai 200120, China) |
|
|
|
|
Abstract As one of the most common arrhythmias in clinical practice, atrial fibrillation is characterized by being occult, paroxysmal, complex, and high mortality and disability. It is considered as a “silent killer”. This paper summarizes the progress of artificial intelligence applied in the diagnosis and prediction of atrial fibrillation, assistance for decisionmaking in ablation, plasma drug concentration monitoring, prognosis prediction, etc. from clinical perspectives.
|
|
|
|
|
|
|
|
|
