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

Table 2 The impact of artificial intelligence assistance on the detection rate of high-risk gastric lesions in propensity score matching groups, n (%)

Lesion types	Non-AI group (n = 7764)	AI group (n = 7764)	OR (95%CI)	P value
LGIN	26 (0.33)	47 (0.61)	1.81 (1.12-2.93)	0.015
HGIN	6 (0.08)	17 (0.22)	2.84 (1.12-7.20)	0.028
EGC	12 (0.15)	31 (0.40)	2.59 (1.33-5.05)	0.005
HrGLs	37 (0.48)	73 (0.94)	1.98 (1.33-2.95)	0.001

OR: Odds ratio; CI: Confidence interval; LGIN: Low-grade intraepithelial neoplasia; HGIN: High-grade intraepithelial neoplasia; EGC: Early gastric cancer; HrGLs: High-risk gastric lesions.

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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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