| For: | Sun JR, Sun XN, Lu BJ, Deng BC. Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models. World J Gastroenterol 2025; 31(46): 111176 [PMID: 41479639 DOI: 10.3748/wjg.v31.i46.111176] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v31/i46/111176.htm |
| Number | Citing Articles |
| 1 |
Raufu Umme Rhidi, Ferdaus Anam Jibon, Farhan Shahriar, Muradul Islam, A. H. M. Kamal, Gahangir Hossain. HybridDenseViT: a unified explainable hybrid deep learning framework for multi-stage liver fibrosis staging across T2-weighted MRI and B-mode ultrasound. Journal of Umm Al-Qura University for Medical Science 2026; 12(2) doi: 10.1007/s44361-026-00052-2
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| 2 |
Claire Dupont, Julien Martin. Cross-Organizational Health Data Linkage: Methodological Approaches, Bias Pathways, and Validation Standards. Journal of Health Informatics and Digital Systems 2022; 2(2) doi: 10.68159/b452442230
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| 3 |
Yuehua Li, Pengfei Li. From black-box prediction to transparent insight: the status quo and paradigm shift of explainable artificial intelligence in hepatocellular carcinoma research. Journal of the Egyptian National Cancer Institute 2026; 38(1) doi: 10.1186/s43046-026-00397-0
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| 4 |
Abdelraouf Ishtaiwi, Ahmad HajYasien. Strategies for Responsible AI Infrastructures Within Educational Administration. Advances in Computational Intelligence and Robotics 2026; doi: 10.4018/979-8-2600-0467-8.ch004
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| 5 |
Omar Alqaisi, Suhair Al‐Ghabeesh, Mohammed Dibas, Lorent Sijarina, Patricia Tai. The Role of Machine Learning and Artificial Intelligence in Enhancing Critical Care Nursing Practice: A Scoping Review. Nursing in Critical Care 2026; 31(5) doi: 10.1111/nicc.70629
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| 6 |
Sherihan G. AbdelHamid, Esraa M. Halawa, Eman M. Ibrahim, Mahmoud ElHefnawi. Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care. Cancer Cell International 2026; 26(1) doi: 10.1186/s12935-026-04263-w
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| 7 |
C Y Kalpavi, B M Sujatha, V Deepthi, K Sindhu. AI-driven diagnostic and prognostic systems for liver diseases: A comprehensive review of machine learning applications in clinical hepatology and transplantation medicine. Journal of Liver Transplantation 2026; 24 doi: 10.1016/j.liver.2026.100388
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