| For: | Feng N, Wang K, Jiao Y. Integrating radiomics and machine learning for the diagnosis and prognosis of hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(7): 106610 [PMID: 40697211 DOI: 10.4251/wjgo.v17.i7.106610] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v17/i7/106610.htm |
| Number | Citing Articles |
| 1 |
Yuriy A. Vasilev, Anton V. Vladzymyrskyy, Filipp V. Golubev, Olga V. Omelyanskaya, Nikita A. Savin, Daniel V. Gordienko, Ivan A. Blokhin. Development and internal validation of a model to predict the class of focal liver lesions at magnetic resonance imaging by texture analysis. Almanac of Clinical Medicine 2025; 53(5): 260 doi: 10.18786/2072-0505-2025-53-024
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| 2 |
Asahiro Morishita, Kyoko Oura, Hiroki Tai, Rie Yano, Mai Nakahara, Tomoko Tadokoro, Koji Fujita, Shima Mimura, Joji Tani, Miwa Tatsuta, Takashi Himoto, Hideki Kobara. Advances in the Therapeutic Landscape of Hepatocellular Carcinoma: Current Strategies and Future Perspectives. Cancers 2026; 18(4): 609 doi: 10.3390/cancers18040609
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| 3 |
Yongzhong Li, Shuixia Liu, Yanli Zeng, Yi Jiang, Zhaoyang Wang, Lianbin Wen, Yanqiong Song, Jianwen Zhang, Fei Wang. Integrating pretreatment CT radiomics and circulating tumor cells using machine learning to predict survival in hepatocellular carcinoma. Frontiers in Pharmacology 2026; 17 doi: 10.3389/fphar.2026.1788180
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| 4 |
Maria Conticchio, Francesca Pescol, Martin Hubner, Emilie Uldry, Grégoire Leroy, Alban Denys, Jean-Louis Raisaro, David Fuks. Artificial intelligence in HPB surgery: a narrative review on technological advances and imperatives for ethical integration. HPB 2026; 28(1): 1 doi: 10.1016/j.hpb.2025.11.002
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