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

Table 7 Polyp detection rate and adenoma detection rate by age subgroup

Age subgroup	Subgroup	PDR		ADR		P value (PDR)	P value (ADR)
Age subgroup	Subgroup	n (%)	(95%CI)	n (%)	(95%CI)	P value (PDR)	P value (ADR)
< 40 years	Control (n = 320)	68 (21.25)	(17.65, 24.85)	25 (7.81)	(5.20, 10.42)	< 0.01	< 0.05
	Experimental (n = 290)	89 (30.69)	(26.71, 34.67)	39 (13.45)	(10.24, 16.66)
40-60 years	Control (n = 790)	293 (37.09)	(33.85, 40.33)	118 (14.94)	(11.37, 18.51)	< 0.001	< 0.001
	Experimental (n = 720)	350 (48.61)	(45.70, 51.52)	168 (23.33)	(19.64, 27.02)
> 60 years	Control (n = 390)	162 (41.54)	(39.45, 43.63)	67 (17.18)	(16.40, 17.96)	< 0.001	< 0.001
	Experimental (n = 356)	183 (51.40)	(46.65, 56.15)	88 (24.72)	(20.98, 28.46)

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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