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Cited by in CrossRef
For: Li DL, Zhu L, Liu SL, Wang ZB, Liu JN, Zhou XM, Hu JL, Liu RQ. Machine learning-based radiomic nomogram from unenhanced computed tomography and clinical data predicts bowel resection in incarcerated inguinal hernia. World J Gastrointest Surg 2025; 17(6): 106155 [PMID: 40584479 DOI: 10.4240/wjgs.v17.i6.106155]
URL: https://www.wjgnet.com/1948-9366/full/v17/i6/106155.htm
Number Citing Articles
1
Yang Liu, Tian-Hao Xie, Yan Fu, Si-Ning Ha, Xiao-Shi Jin, Xiang-Xiang Ren. Application of machine learning and deep learning in the diagnosis and treatment of inguinal hernia: a narrative reviewFrontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1743178