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 4 Comparison of baseline demographic data characteristics between the control group and experimental group, mean ± SD/n (%)

	Control group (n = 1500)	Experimental group (n = 1366)	P value
Sex			> 0.05
Male	700 (46.67)	649 (47.51)
Female	800 (53.33)	717 (52.49)
Age, years	49.68 ± 13.8	50.66 ± 13.47	> 0.05
Examination purpose			> 0.05
Symptomatic	988 (65.87)	913 (66.84)
Health check-up	375 (23.80)	328 (24.01)
Disease monitoring	107 (53.33)	98 (53.33)
Abnormal test results	30 (7.13)	27 (1.98)

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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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