医学
心房颤动
烧蚀
导管消融
内科学
心脏病学
心房扑动
人工智能
放射科
计算机科学
作者
Chih‐Min Liu,Wei-Shiang Chen,Shih‐Lin Chang,Yu‐Cheng Hsieh,Yuan-Heng Hsu,Hao-Xiang Chang,Yenn‐Jiang Lin,Li‐Wei Lo,Yu‐Feng Hu,Fa‐Po Chung,Tze‐Fan Chao,Ta‐Chuan Tuan,Jo‐Nan Liao,Chin‐Yu Lin,Ting‐Yung Chang,Ling Kuo,Cheng‐I Wu,Mei‐Han Wu,Chun-Ku Chen,Ying-Yueh Chang,Yang-Che Shiu,Henry Horng‐Shing Lu,Shih‐Ann Chen
标识
DOI:10.1016/j.ijcard.2024.131851
摘要
Based solely on pre-ablation characteristics, previous risk scores have demonstrated variable predictive performance. This study aimed to predict the recurrence of AF after catheter ablation by using artificial intelligence (AI)-enabled pre-ablation computed tomography (PVCT) images and pre-ablation clinical data.
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