Application of artificial intelligence model in precise risk stratification and treatment decision-making for acute variceal bleeding in cirrhosis

doi:10.3748/wjg.115546

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World Journal of Gastroenterology

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1007-9327

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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.

World J Gastroenterol. Aug 14, 2026; 32(30): 115546
Published online Aug 14, 2026. doi: 10.3748/wjg.115546

Application of artificial intelligence model in precise risk stratification and treatment decision-making for acute variceal bleeding in cirrhosis

Ahemala Duishanbai, Yan-Bo Yu

Ahemala Duishanbai, Yan-Bo Yu, Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China

Author contributions: Duishanbai A performed the bibliographic search; Duishanbai A and Yu YB designed the overall concept and outline of the manuscript; Yu YB revised the article critically for important intellectual content; all authors approved the final version of the manuscript.

Supported by National Natural Science Foundation of China, No. 82070540; Taishan Scholars Program of Shandong Province, No. tsqn202211309; National Key Research and Development Program, No. 2022YFC2504000; Natural Science Foundation of Shandong Province, No. ZR2024 LSW013; and Scientific Research Project of Shandong Medical Association, No. YXH2024YS027.

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

Corresponding author: Yan-Bo Yu, Chief Physician, Professor, Department of Gastroenterology, Qilu Hospital of Shandong University, No. 107 Wenhuaxi Road, Jinan 250012, Shandong Province, China. yuyanbo2000@126.com

Received: October 20, 2025
Revised: December 18, 2025
Accepted: February 2, 2026
Published online: August 14, 2026
Processing time: 276 Days and 21.1 Hours

Core Tip

Core Tip: This editorial reviews the non-invasive diagnostic techniques for portal hypertension and the application progress of artificial intelligence in the screening, diagnosis, and treatment of cirrhosis-related gastroesophageal varices. It focuses on exploring the application value of artificial intelligence in the risk stratification assessment of high-risk gastroesophageal variceal bleeding, post-bleeding condition monitoring, and the formulation of individualized diagnosis and treatment decisions.