Artificial intelligence in liver disease: Current status and future direction

doi:10.35713/aic.119655

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Artificial Intelligence in Cancer

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2644-3228

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Cancer. Sep 8, 2026; 7(1): 119655
Published online Sep 8, 2026. doi: 10.35713/aic.119655

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Figure 1 Artificial intelligence bridges gaps in integrating complex clinical imaging data and conventional biomarkers to improve the diagnosis, prognosis, and treatment of liver diseases.

Citation: Zhang CY, Yang M. Artificial intelligence in liver disease: Current status and future direction. Artif Intell Cancer 2026; 7(1): 119655
URL: https://www.wjgnet.com/2644-3228/full/v7/i1/119655.htm
DOI: https://dx.doi.org/10.35713/aic.119655

Zhang CY, Yang M. Artificial intelligence in liver disease: Current status and future direction. Artif Intell Cancer 2026; 7(1): 119655 [DOI: 10.35713/aic.119655]

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