Artificial intelligence in liver cancer surgery:Predicting success before the first incision  

作　　者：Shu-Yen Chan Patrick Twohig 

机构地区：[1]Department of Internal Medicine,Weiss Memorial Hospital,Chicago,IL 60640,United States [2]Department of Gastroenterology&Hepatology,University of Rochester Medical Center,Rochester,NY 14682,United States

出　　处：《World Journal of Gastroenterology》2025年第16期1-4,共4页世界胃肠病学杂志(英文)

摘　　要：Advancements in machine learning have revolutionized preoperative risk assessment.In this article,we comment on the article by Huang et al,which presents a recent multicenter cohort study demonstrated that machine learning algorithms effectively stratify recurrence-free survival,providing a robust predictive framework for maximizing surgical outcomes in intrahepatic cholangiocarcinoma.By leveraging interpretable models,the research enhances clinical decision-making,allowing for more precise patient selection and personalized surgical strategies.These findings highlight the growing role of artificial intelligence in optimizing surgical outcomes and improving prognostic accuracy in hepatobiliary oncology.

关 键 词：Intrahepatic cholangiocarcinoma Artificial intelligence Machine learning SURGERY CANCER 

分 类 号：R735.7[医药卫生—肿瘤]