ArticleBMC gastroenterology2025
Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls.
Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
BACKGROUND/
aimsThis study aimed to investigate whether a real-time artificial intelligence (AI)-assisted polyp detection system can improve adenoma detection rates (ADRs) in real-world colonoscopy practice.
methodsThis single-center, retrospective, propensity score-matched study collected data from consecutive patients who underwent colonoscopy-either AI-assisted or standard colonoscopy- between March 2023 and February 2024. Propensity score matching was conducted to adjust for baseline characteristics across the groups.
resultsDuring the study period, 1,085 patients who underwent colonoscopy were eligible for inclusion. After propensity score matching, 474 patients who underwent AI-assisted colonoscopy and 474 who underwent standard colonoscopy were included in the primary analysis. The ADR was significantly higher in the AI-assisted colonoscopy group than in the standard colonoscopy group (35.9% vs. 26.4%; p = 0.002). Additionally, the number of adenomas detected per colonoscopy was significantly higher in the AI-assisted group than in the standard group (0.69 ± 1.22 vs. 0.43 ± 0.91; p < 0.001). However, the detection rates of advanced adenomas and sessile serrated lesions did not differ significantly between the two groups.
conclusionAI-assisted colonoscopy significantly improves ADRs in real-world colonoscopy practice.
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