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Cited by in CrossRef
For: Huang TF, Luo C, Guo LB, Liu HZ, Li JT, Lin QZ, Fan RL, Zhou WP, Li JD, Lin KC, Tang SC, Zeng YY. Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study. World J Gastroenterol 2025; 31(11): 100911 [PMID: 40124276 DOI: 10.3748/wjg.v31.i11.100911]
URL: https://www.wjgnet.com/1007-9327/full/v31/i11/100911.htm
Number Citing Articles
1
Shu-Yen Chan, Patrick Twohig. Artificial intelligence in liver cancer surgery: Predicting success before the first incisionWorld Journal of Gastroenterology 2025; 31(16): 107221 doi: 10.3748/wjg.v31.i16.107221
2
Eyad Gadour, Mohammed S AlQahtani. Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinomaWorld Journal of Gastroenterology 2025; 31(17): 106592 doi: 10.3748/wjg.v31.i17.106592