| 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] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v32/i11/116220.htm |
| Number | Citing Articles |
| 1 |
Hong-Yu Long, Yong-Mei Wu, Xue Li, Bai-Qing Chen. Predicting gallstones risk with body composition analysis and machine learning: a dual-center cohort study. Annals of Medicine 2026; 58(1) doi: 10.1080/07853890.2026.2742549
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| 2 |
Ping Wang, Xingyu Chen, Tianjiao Hao, Jisong Chen. Artificial intelligence in gangrenous cholecystitis: advances in risk factor identification and preoperative prediction—a scoping review. Frontiers in Surgery 2026; 13 doi: 10.3389/fsurg.2026.1934684
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| 3 |
Maria Kapritsou. From prediction to clinical decision-making: Explainable machine learning in acute suppurative cholecystitis. World Journal of Gastroenterology 2026; 32(36): 119370 doi: 10.3748/wjg.119370
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