Abstract：Atrial fibrillation (AF) is one of the most common arrhythmias. It is characterized by concealment, paroxysmal nature, complexity, and high mortality and disability rate; the prevalence rate of AF is on the rise. The new emergence of artificial intelligence technology breaks through the limitations of traditional methods of AF screening, showing unique advantages and broad application prospects in the screening, diagnosis and prediction of AF. Intelligent wearable devices have higher feasibility, specificity and sensitivity in the screening of AF, with high cost-effectiveness in clinical application.
王芳丽，穆耶赛尔·麦麦提明，冯艳. 基于人工智能的心房颤动筛查与管理的研究进展[J]. 实用心电学杂志, 2024, 33(2): 186-190.
王芳丽，穆耶赛尔·麦麦提明，冯艳. Research progress of artificial intelligence-based screening and management of atrial fibrillation. JOURNAL OF PRACTICAL ELECTROCARDIOLOGY, 2024, 33(2): 186-190.
