Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonoscopy

Recruiting now

Conditions studied: Colonic Polyp

In brief

Background: Removal of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths. Recently, there have been much interest in the use of artificial intelligence (AI) platforms to augment the routine endoscopic assessment of the colon to enhance adenoma detection rate (ADR). To date, computer assisted detection of polyps (CADe) have been shown to be safe, with a significant increase in ADR, without any concomitant increase in post-procedural complications. Aims: The investigators aim to evaluate the use of GI GeniusTM Intelligent Endoscopy Module in a multi-ethnic Asian population (Singapore) to increase in ADR and adenoma detected per colonoscopy (ADPC)to justify its effectiveness as an adjunct in polyp detection and training for colonoscopy. Methods: This study will be a single-institution cohort study, conducted over a 2-year period. Sengkang General Hospital (SKH) does an estimated 12,500 colonoscopies per year, with an average of 1,040 colonoscopies performed every month. Thus, given the case volume, the investigators expect to detect differences in ADR amongst endoscopists if any during this study period. As part of the subgroup analysis, the investigators also aim to compare the ADR rates of trainee endoscopists with and without the GI GeniusTM Intelligent Endoscopy Module to ascertain its utility as an education tool/training adjunct

Key facts

Study ID
NCT05822895
Run by
Sengkang General Hospital
People needed
764
Starts
2023-01-02
Expected to finish
2031-12-31
Last updated by the study team
2026-05-04

Who can join

Age: 21 and older, up to 90. Sex: any. Healthy volunteers: not accepted.

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You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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