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 6 Polyp detection rate and adenoma detection rate by seniority and group

Endoscopist group	Subgroup	Sample size	PDR		ADR		P value (PDR)	P value (ADR)
Endoscopist group	Subgroup	Sample size	n (%)	(95%CI)	n (%)	(95%CI)	P value (PDR)	P value (ADR)
High-seniority	Control	750	329 (43.87)	(39.75, 47.99)	84 (11.20)	(7.46, 14.96)	< 0.05	> 0.05
High-seniority	Experimental	750	372 (49.60)	(46.25, 52.95)	92 (12.27)	(8.73, 15.81)
Low-seniority	Control	750	272 (36.27)	(33.82, 38.72)	57 (7.60)	(4.38, 10.82)	< 0.001	> 0.05
Low-seniority	Experimental	616	346 (56.17)	(50.36, 61.98)	62 (10.06)	(6.37, 13.75)

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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