Detecting pancreaticobiliary maljunction in pediatric congenital choledochal malformation patients using machine learning methods

Abstract Objective The presence of pancreaticobiliary maljunction (PBM) in pediatric patients with congenital choledochal malformation significantly impacts clinical management and surgical decision-making. Current preoperative evaluation of PBM coexistence remains challenging in children, while int...

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主要な著者:	Yifeng Shao, Chengyang Jiang, Runmin Zhang, Kunpeng Yang, Chuanyu Yang, Chengji Dong, Yang Hong, Long Li, Mei Diao
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2025-10-01
シリーズ:	BMC Surgery
主題:	Machine learning Congenital choledochal malformation Pancreaticobiliary maljunction
オンライン･アクセス:	https://doi.org/10.1186/s12893-025-03154-7
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