A deep learning model integrating structured data and clinical text for predicting atrial fibrillation recurrence

Abstract Multimodal perioperative data from patients undergoing atrial fibrillation (AF) ablation offer valuable insights for stratifying recurrence risk, yet remain underutilized in prediction models. This multicenter retrospective study included 2508 patients who underwent AF ablation at five Chin...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Sixiang Jia, Yanping Yin, Yingxia Guan, Xuan Ying, Peijian Shi, Chenhao Li, Qiang Yang, Xuanting Mou, Jiangbo Lin, Que Xu, Qingru Zhu, Yang Yang, Heqiang Zhang, Jianqiang Zhao, Wenting Lin, Chao Feng, Weili Ge, Shudong Xia
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2026-02-01
Σειρά:	npj Digital Medicine
Διαθέσιμο Online:	https://doi.org/10.1038/s41746-026-02436-5
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