World Journal of Gastroenterology - Baishideng Publishing Group

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For:	Han W, Cheng DY, He QW, Wang SH, Gong SJ, Chen Y, Yang YP. Deep learning-based multimodal model for predicting on-treatment histological outcomes in chronic hepatitis B-associated advanced liver fibrosis. World J Gastroenterol 2026; 32(15): 116679 [DOI: 10.3748/wjg.v32.i15.116679]
URL:	https://www.wjgnet.com/1007-9327/full/v32/i15/116679.htm

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Number	Citing Articles
1	Shi-Cai Liu, Zi-Wen Wang, Han Zhang. Realizing personalized prediction for the reversal of chronic hepatitis B-associated liver fibrosis through machine learning. World Journal of Gastroenterology 2026; 32(42): 120151 doi: 10.3748/wjg.120151 Abstract(59) \| Core Tip(54) \| Full Article(HTML)(246) \| Full Article (PDF)-1286K(41) \| Full Article with Cover (PDF)-1552K(22) \| Full Article (XML)-142K(19) \| Audio-809K(0) \| Peer-Review Report-208K(25) \| Answering Reviewers-114K(28) \| Supplementary Material-79K(22) \| Times Cited (0) \| Total Visits (372) \| Open

Number

Citing Articles

Shi-Cai Liu, Zi-Wen Wang, Han Zhang. Realizing personalized prediction for the reversal of chronic hepatitis B-associated liver fibrosis through machine learning. World Journal of Gastroenterology 2026; 32(42): 120151 doi: 10.3748/wjg.120151

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