Machine learning models compared to existing criteria for noninvasive prediction of endoscopic retrograde cholangiopancreatography-confirmed choledocholithiasis

Machine learning models compared to existing criteria for noninvasive prediction of endoscopic retrograde cholangiopancreatography-confirmed choledocholithiasis

Background and aims: Noninvasive predictors of choledocholithiasis have generally exhibited marginal performance characteristics. We aimed to identify noninvasive independent predictors of endoscopic retrograde cholangiopancreatography (ERCP)-confirmed choledocholithiasis and accordingly developed p...

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Bibliographic Details
Main Authors: Camellia Dalai, John M Azizian, Harry Trieu, Anand Rajan, Formosa C Chen, Tien Dong, Simon W Beaven, James H. Tabibian
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-12-01
Series:Liver Research
Subjects:
Machine learning models (MLMs)
Endoscopic retrograde cholangiopancreatography (ERCP)
Noninvasive imaging
Bile duct disorders
Common bile duct stones
Gallstones
Online Access:http://www.sciencedirect.com/science/article/pii/S2542568421000593

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http://www.sciencedirect.com/science/article/pii/S2542568421000593

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