Artificial intelligence-assisted endoscopists improve the detection rate of high-risk gastric lesions: A propensity score-matched retrospective study

doi:10.3748/wjg.v32.i21.117299

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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

Retrospective Study

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. Jun 7, 2026; 32(21): 117299
Published online Jun 7, 2026. doi: 10.3748/wjg.v32.i21.117299

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Figure 1 Clinical application diagram of ENDOANGEL-ELD.

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Figure 2 Path diagram of the mediation analysis models. AI: Artificial intelligence; HrGLs: High-risk gastric lesions; CI: Confidence interval.

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Figure 3 Flow chart of the study. EGD: Esophagogastroduodenoscopy; AI: Artificial intelligence.

Citation: Ying JX, Yan SY, Fu XY, Zhou YJ, Zhou JJ, Yang Y, Zhou XB, Wang ZZ, Li SW, Fang LN, Mao XL. Artificial intelligence-assisted endoscopists improve the detection rate of high-risk gastric lesions: A propensity score-matched retrospective study. World J Gastroenterol 2026; 32(21): 117299
URL: https://www.wjgnet.com/1007-9327/full/v32/i21/117299.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i21.117299

Ying JX, Yan SY, Fu XY, Zhou YJ, Zhou JJ, Yang Y, Zhou XB, Wang ZZ, Li SW, Fang LN, Mao XL. Artificial intelligence-assisted endoscopists improve the detection rate of high-risk gastric lesions: A propensity score-matched retrospective study. World J Gastroenterol 2026; 32(21): 117299 [DOI: 10.3748/wjg.v32.i21.117299]

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