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Cited by in CrossRef
For: Hong QQ, Yan S, Zhao YL, Fan L, Yang L, Zhang WB, Liu H, Lin HX, Zhang J, Ye ZJ, Shen X, Cai LS, Zhang GW, Zhu JM, Ji G, Chen JP, Wang W, Li ZR, Zhu JT, Li GX, You J. Machine learning identifies the risk of complications after laparoscopic radical gastrectomy for gastric cancer. World J Gastroenterol 2024; 30(1): 79-90 [PMID: 38293327 DOI: 10.3748/wjg.v30.i1.79]
URL: https://www.wjgnet.com/1007-9327/full/v30/i1/79.htm
Number Citing Articles
1
Yanqi Li, Yang Su, Shengli Shao, Tao Wang, Xiaokun Liu, Jichao Qin. Machine learning–based prediction of duodenal stump leakage following laparoscopic gastrectomy for gastric cancerSurgery 2025; 180: 108999 doi: 10.1016/j.surg.2024.108999
2
Hong-Niu Wang, Jia-Hao An, Liang Zong. Advances in artificial intelligence for predicting complication risks post-laparoscopic radical gastrectomy for gastric cancer: A significant leap forwardWorld Journal of Gastroenterology 2024; 30(43): 4669-4671 doi: 10.3748/wjg.v30.i43.4669
3
Yuqi Ma, Yuan Deng, Haohao Wan, Diaolong Ma, Liang Ma, Wanqi Fan, JiXiang Liu, Ming Hu, RuiFang Fan, YunTao Ma. Construction and validation of a nomogram prediction model for the occurrence of complications in patients following robotic radical surgery for gastric cancerLangenbeck's Archives of Surgery 2025; 410(1) doi: 10.1007/s00423-024-03594-4