Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy

doi:10.3748/wjg.119276

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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. Jul 21, 2026; 32(27): 119276
Published online Jul 21, 2026. doi: 10.3748/wjg.119276

Table 5 Overall polyp detection rate and adenoma detection rate in the clinical validation phase

Group	Sample size	PDR		ADR		P value (PDR)	P value (ADR)
Group	Sample size	n (%)	(95%CI)	n (%)	(95%CI)	P value (PDR)	P value (ADR)
Experimental	1366	699 (51.17)	(48.32, 54.02)	147 (10.76)	(7.35, 14.17)	< 0.001	> 0.05
Control	1500	601 (40.07)	(34.87, 45.27)	141 (9.40)	(6.89, 11.91)

PDR: Polyp detection rate; ADR: Adenoma detection rate; CI: Confidence interval.

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Citation: Chen W, Wu M, Wang HY, Wu HB, Li J, Sun YH, Huang F, Gao M, Zhong ZH, Wu YM, Chen L. Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy. World J Gastroenterol 2026; 32(27): 119276
URL: https://www.wjgnet.com/1007-9327/full/v32/i27/119276.htm
DOI: https://dx.doi.org/10.3748/wjg.119276

Chen W, Wu M, Wang HY, Wu HB, Li J, Sun YH, Huang F, Gao M, Zhong ZH, Wu YM, Chen L. Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy. World J Gastroenterol 2026; 32(27): 119276 [DOI: 10.3748/wjg.119276]

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