【摘要】 房颤是临床上最常见的心律失常，传统手段筛查房颤的漏诊率较高，因此早期诊断存在较大挑战。人工智能的出现突破了传统手段的局限性，在房颤的筛查、诊断及治疗中展现出独特的优势和广阔的应用前景。本文对人工智能在房颤诊疗中的应用进展进行综述。更多还原

【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.更多还原