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Updated: Jan 14, 2026
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Published on: July 11, 2025
Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a
Da Yeon Ham1, Jae Gon Lee2, Chung Il Ahn3
1Division of Gastroenterology, Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University, Hallym University College of Medicine, 7 Keunjaebong-gil, Hwaseong, 18450, Korea.
Background/Aims:
This 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.
Methods:
This 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.
Results:
During 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.
Conclusion:
AI-assisted colonoscopy significantly improves ADRs in real-world colonoscopy practice.
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