# Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls

**Authors:** Da Yeon Ham, Jae Gon Lee, Chung Il Ahn, Sea Hyub Kae, Hyun Joo Jang

PMC · DOI: 10.1186/s12876-025-04011-w · BMC Gastroenterology · 2025-10-23

## TL;DR

Using AI during colonoscopies helps doctors find more adenomas in real-world settings.

## Contribution

This study shows AI-assisted colonoscopy improves adenoma detection rates in routine practice.

## Key findings

- AI-assisted colonoscopy had a higher adenoma detection rate (35.9%) compared to standard colonoscopy (26.4%).
- The number of adenomas detected per colonoscopy was significantly higher with AI assistance.

## Abstract

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.

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.

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.

AI-assisted colonoscopy significantly improves ADRs in real-world colonoscopy practice.

## Full-text entities

- **Diseases:** adenoma (MESH:D000236), polyp (MESH:D011127), sessile serrated lesions (MESH:D009059)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

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Source: https://tomesphere.com/paper/PMC12551233