| For: | Xiong FX, Sun L, Zhang XJ, Chen JL, Zhou Y, Ji XM, Meng PP, Wu T, Wang XB, Hou YX. Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study. World J Gastroenterol 2025; 31(9): 101383 [PMID: 40061588 DOI: 10.3748/wjg.v31.i9.101383] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v31/i9/101383.htm |
| Number | Citing Articles |
| 1 |
Annabel Koivu, Ghazal Azarfar, Maryam Shojaee, Naomi K T Hlaing, Sameera Rizvi, Divya Sharma, Saba Maleki, Mamatha Bhat. Machine learning model integrating transient elastography and clinical data for prediction of graft fibrosis after liver transplantation. World Journal of Hepatology 2026; 18(6): 120258 doi: 10.4254/wjh.120258
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| 2 |
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Pablo Guillermo Hernández-Almonacid, Ximena Marín-Quintero. Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches. World Journal of Gastroenterology 2026; 32(2): 111737 doi: 10.3748/wjg.v32.i2.111737
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Catherine Lalman, Kylie R. Stabler, Yimin Yang, Janice L. Walker. Supervised Machine-Based Learning and Computational Analysis to Reveal Unique Molecular Signatures Associated with Wound Healing and Fibrotic Outcomes to Lens Injury. International Journal of Molecular Sciences 2025; 26(15) doi: 10.3390/ijms26157422
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Haiping Zhang, Xinming Li, Kechi Fang, Yinxue Ma, Lijuan Li, Huiping Yan, Yanmin Liu, Yanhua Yu, Jing Wang. Large Language Models for Heterogeneous Data Mining in Liver Disease: Framework Development and Retrospective Validation Study. Journal of Medical Internet Research 2026; 28 doi: 10.2196/92921
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| 9 |
Azra Bashir, Renuka Arora, Deepti Mehrotra, Manju Bala, Arshed H Parry, Asif Iqball, Shabir A Bhat, Zeeshan A Wani. Non-invasive prediction of significant hepatic fibrosis in individuals with chronic hepatitis C infection using fibrosis risk score and machine learning models. World Journal of Hepatology 2026; 18(3): 117465 doi: 10.4254/wjh.v18.i3.117465
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