The yield of artificial intelligence (GI genius) in Lynch syndrome -A randomized tandem-colonoscopy trial.

Authors

Laish Ido, Ben-Horin Shomron, Levi Idan, Ukashi Offir

Published in

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver. Sep 15, 2026. Epub Sep 15, 2026.

Abstract

Artificial intelligence (AI)- assisted colonoscopy has been shown to increase the adenoma-detection rate in the general population but there is a paucity of data on its benefit in Lynch syndrome. We aimed to investigate the incremental detection rate of polyps using AI- assisted colonoscopy compared with high-definition white-light endoscopy (HD-WLE).
We conducted a single-center randomized tandem colonoscopy trial of patients with Lynch syndrome. Patients underwent a first colonoscopy with HD-WLE, and were randomized at 1:1 ratio to undergo a second colonoscopy with either HD-WLE or an AI- assisted device. All visualized polyps were removed and size, histology and numbers of polyps detected on each exam were recorded.
Of 107 patients screened, 100 were enrolled (median age 45.5 years, 39% males). On a per polyp analysis, 12 adenomas were detected at the first colonoscopy and 6 at the second one in the AI group, corresponding to incremental detection rate (IDR) of 33.3%, whereas in the HD-WLE group, 16 adenomas were detected at first colonoscopy and 2 at second, corresponding to IDR of 11.1% [OR 4.0, 95% CI (0.68-23.40); p value- 0.124]. On per patient analysis, the increment in adenoma detection rate and polyp detection rate at second colonoscopy were also not significantly increased with AI compared with HD-WLE (35.3%vs. 13.3%, p - 0.165; and 26.6% vs. 14.8%, p - 0.278; respectively).
No significant difference was displayed by artificial intelligence in detecting adenomas in Lynch-syndrome patients in the setting of high-definition colonoscopy with prolonged withdrawal time.

PMID:
42744673
Bibliographic data and abstract were imported from PubMed on 16 Sep 2026.

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