For: | Chongo G, Soldera J. Use of machine learning models for the prognostication of liver transplantation: A systematic review. World J Transplant 2024; 14(1): 88891 [PMID: 38576762 DOI: 10.5500/wjt.v14.i1.88891] |
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URL: | https://www.wjgnet.com/1948-5190/full/v14/i1/88891.htm |
Number | Citing Articles |
1 |
Vakaola I Pulotu Mafi, Jonathan Soldera. Palliative care for end-stage liver disease and acute on chronic liver failure: A systematic review. World Journal of Methodology 2024; 14(4): 95904 doi: 10.5662/wjm.v14.i4.95904
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2 |
Ahmet Ercan Topcu, Ersin Elbasi, Yehia Ibrahim Alzoubi. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis. 2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024; : 191 doi: 10.1109/TSP63128.2024.10605929
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3 |
Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed. Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysis. Frontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1398205
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4 |
Intekhab Hossain, Amin Madani, Simon Laplante. Machine learning perioperative applications in visceral surgery: a narrative review. Frontiers in Surgery 2024; 11 doi: 10.3389/fsurg.2024.1493779
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