Effectiveness of artificial intelligence's system ArtInCol in diagnostic of colorectal neoplasia during colonoscopy: results of multicenter randomised clinical trial

AIM: to evaluate the effectiveness of the Russian artificial intelligence system ArtInCol during routine colonoscopy. PATIENTS AND METHODS: from August to December 2024 a multicenter randomized trial was done and included 4 medical institutions and 1,128 patients. The patients were randomized into colonoscopy groups without AI (n = 547) and colonoscopy group using the ArtInCol artificial intelligence system (n = 581). The data was analyzed according to the “intention-to-treat” and «per protocol» types, with the primary endpoint being the frequency of detection of adenomas. RESULTS: the randomized groups were homogenous in all analyzed variables. When comparing the primary end-point, the detection rate of adenomas (ADR) in the studied group of AI-assisted colonoscopy was 47.2% (95% CI: 43.1–51.2), compared with 41.3% (95% CI: 37.3–45.5) without AI, the effect value was 5.9%, p = 0.048. The average number of detected adenomas was 0.97 (95% CI: 0.85–1.09), versus 0.79 (95% CI: 0.67–0.92) in the control group, which is a statistically significant difference (p = 0.01). CONCLUSION: the study confirm the hypothesis of the effectiveness of the AI — ArtInCol system in order to improve the quality of neoplasm detection during colonoscopy. An increase in the detection rate of adenomas by 5.9% was recorded.

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Publication Details

Journal
Koloproktologia
Published
2025-08-16
DOI
https://doi.org/10.33878/2073-7556-2025-24-3-12-21
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
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article

Effectiveness of artificial intelligence's system ArtInCol in diagnostic of colorectal neoplasia during colonoscopy: results of multicenter randomised clinical trial

А. А. Ликутов, И. В. Назаров, Е. Д. Федоров, Evgeny Gorbachev et al.
Koloproktologia
Colorectal Cancer Screening and Detection
article

Effectiveness of artificial intelligence's system ArtInCol in diagnostic of colorectal neoplasia during colonoscopy: results of multicenter randomised clinical trial

А. А. Ликутов, И. В. Назаров, Е. Д. Федоров, Evgeny Gorbachev, А. F. Mingazov, Yu. A. Shelygin, А. В. Шабунин, I. Yu. Korzheva, С. И. Ачкасов, Д. Г. Шахматов, Yu. Yu. Kamaletdinova
article en

Abstract

AIM: to evaluate the effectiveness of the Russian artificial intelligence system ArtInCol during routine colonoscopy. PATIENTS AND METHODS: from August to December 2024 a multicenter randomized trial was done and included 4 medical institutions and 1,128 patients. The patients were randomized into colonoscopy groups without AI (n = 547) and colonoscopy group using the ArtInCol artificial intelligence system (n = 581). The data was analyzed according to the “intention-to-treat” and «per protocol» types, with the primary endpoint being the frequency of detection of adenomas. RESULTS: the randomized groups were homogenous in all analyzed variables. When comparing the primary end-point, the detection rate of adenomas (ADR) in the studied group of AI-assisted colonoscopy was 47.2% (95% CI: 43.1–51.2), compared with 41.3% (95% CI: 37.3–45.5) without AI, the effect value was 5.9%, p = 0.048. The average number of detected adenomas was 0.97 (95% CI: 0.85–1.09), versus 0.79 (95% CI: 0.67–0.92) in the control group, which is a statistically significant difference (p = 0.01). CONCLUSION: the study confirm the hypothesis of the effectiveness of the AI — ArtInCol system in order to improve the quality of neoplasm detection during colonoscopy. An increase in the detection rate of adenomas by 5.9% was recorded.

KoloproktologiaVol. 24(3)
State Scientific Center of Coloproctology (RU), Russian Medical Academy of Continuous Professional Education (RU)
Openalex Percentile: Top 70%
Colorectal Cancer Screening and Detection
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