人工智能在房颤管理中的应用进展.

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 decision-making in ablation, plasma drug concentration monitoring, prognosis prediction, etc. from clinical perspectives. [ABSTRACT FROM AUTHOR]