Abstract：Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. The missed diagnosis rate of AF is high in screening by traditional means, therefore early diagnosis is a great challenge. Artificial intelligence (AI) has broken through the limitations of traditional methods and has shown its unique advantages and broad prospect of application in the screening, diagnosis and treatment of AF. This article reviews the progress of AI applied in the diagnosis and treatment of AF.
何斌，储慧民. 人工智能在房颤诊疗中的应用进展[J]. 实用心电学杂志, 2022, 31(4): 262-266.
HE Bin, CHU Huimin. Progression of artificial intelligence applied in diagnosis and treatment of atrial fibrillation. JOURNAL OF PRACTICAL ELECTROCARDIOLOGY, 2022, 31(4): 262-266.
