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Cited by in CrossRef
For: Chen GD, Chen BQ, Ge YH, Liu JL, Cheng KW, Xiao HW, Long HY, Xie F. Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis. World J Gastroenterol 2026; 32(11): 116220 [DOI: 10.3748/wjg.v32.i11.116220]
URL: https://www.wjgnet.com/1007-9327/full/v32/i11/116220.htm
Number Citing Articles
1
Ping Wang, Xingyu Chen, Tianjiao Hao, Jisong Chen. Artificial intelligence in gangrenous cholecystitis: advances in risk factor identification and preoperative prediction—a scoping reviewFrontiers in Surgery 2026; 13 doi: 10.3389/fsurg.2026.1934684
2
Maria Kapritsou. From prediction to clinical decision-making: Explainable machine learning in acute suppurative cholecystitisWorld Journal of Gastroenterology 2026; 32(36): 119370 doi: 10.3748/wjg.119370