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Cited by in CrossRef
For: Liu DJ, Jia LX, Zeng FX, Zeng WX, Qin GG, Peng QF, Tan Q, Zeng H, Ou ZY, Kun LZ, Zhao JB, Chen WG. Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding. World J Gastroenterol 2025; 31(4): 100401 [PMID: 39877716 DOI: 10.3748/wjg.v31.i4.100401]
URL: https://www.wjgnet.com/1007-9327/full/v31/i4/100401.htm
Number Citing Articles
1
Shu-Qi Ren, Jin-Man Chen, Chuang Cai. Translational artificial intelligence in gastrointestinal and hepatic disorders: Advancing intelligent clinical decision-making for diagnosis, treatment, and prognosisWorld Journal of Gastroenterology 2025; 31(36): 110742 doi: 10.3748/wjg.v31.i36.110742
2
Kirolos Eskandar. Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directionsiLIVER 2025; 4(4): 100205 doi: 10.1016/j.iliver.2025.100205
3
Yilong Liu, Kai Ding, Yifan Qiu, Peiqin Wang, Ruoyao Wang, Xin Zeng, Chuan Yin. Interpretable machine learning model for predicting covert hepatic encephalopathy in patients with cirrhosis: a multicenter studyFrontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1686005
4
Qing-Chen Wang, Jian Jiao, Chun-Qing Zhang. Application of artificial intelligence in portal hypertension and esophagogastric varicesWorld Journal of Gastroenterology 2025; 31(24): 108508 doi: 10.3748/wjg.v31.i24.108508