A Machine Learning Model for Predicting Posthepatectomy Liver Failure After Hepatectomy With Extrahepatic Bile Duct Resection for Perihilar Cholangiocarcinoma: With and Without Indocyanine Green

ABSTRACT Aim Posthepatectomy liver failure (PHLF) is a serious complication of major hepatectomy and is closely related to perioperative mortality. Whether or not indocyanine green (ICG) is used to measure liver function varies by country. Using machine learning, we aimed to develop two highly accur...

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Auteurs principaux:	Yuki Homma, Hiroki Ohya, Ryusei Matsuyama, Isamu Hosokawa, Tsukasa Takayashiki, Yusuke Ome, Shuichiro Uemura, Ryota Higuchi, Goro Honda, Eiryo Kawakami, Masayuki Ohtsuka, Itaru Endo
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2026-07-01
Collection:	Annals of Gastroenterological Surgery
Sujets:	machine learning perihilar cholangiocarcinoma posthepatectomy liver failure
Accès en ligne:	https://doi.org/10.1002/ags3.70187
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