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Cited by in CrossRef
For: Zhou XQ, Huang S, Shi XM, Liu S, Zhang W, Shi L, Lv MH, Tang XW. Global trends in artificial intelligence applications in liver disease over seventeen years. World J Hepatol 2025; 17(3): 101721 [PMID: 40177211 DOI: 10.4254/wjh.v17.i3.101721]
URL: https://www.wjgnet.com/1948-5182/full/v17/i3/101721.htm
Number Citing Articles
1
N. V. Korochanskaya, V. M. Durleshter, M. A. Basenko, D. S. Murashko, A. A. Khalafyan. Artificial Intelligence in Predicting Risks of Surgical Interventions in Patients with Liver CirrhosisRussian Journal of Gastroenterology, Hepatology, Coloproctology 2026; 35(6): 42 doi: 10.22416/1382-4376-2025-35-6-42-49
2
Jamal Alshorman, Mohammad Javad Mehran, Yadollah Bahrami, Sara Mohammadzadeh, Rambod Barzigar, Mahdi Morshedi, Khawaja Husnain Haider, Kingsley Miyanda Tembo, Shan-Jie Rong, Nasir Jadgal, Ruba Altahla, Mansoor Bolideei, Yongping Wang. Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseasesClinical and Experimental Medicine 2026; 26(1) doi: 10.1007/s10238-026-02107-5