开发和验证风险分层和共享决策工具的风险分层和共享决策工具,用于心力衰竭患者心房动的导管切除:一个多中心队列研究

Xiaodong Peng1, Liu He1, Jue Wang1

  • 1Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Office of Beijing Cardiovascular Diseases Prevention, Beijing, China.

EClinicalMedicine
|July 11, 2025
PubMed
概括

使用机器学习的新工具有助于决定心房动 (AF) 和心力衰竭 (HF) 患者是否应该接受射频导管切除 (RFCA). 它确定了最有可能从RFCA中受益的患者,改善了共享决策.