Using AI to improve polyp detection during colonoscopy
Official title: A Comprehensive Review of the Impact of a COmPuter-aIded reaL-time pOlyp deTection System on Adult Colonoscopy (COPILOT Study) - a Single Institution Adoption Experience
Run by Sengkang General Hospital · NCT05822895 · Data updated 2026-11-12
This study is testing whether using AI technology during colonoscopies can help doctors find more polyps in adults in Singapore.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 21 Years to 90 Years |
| Sex | All |
| Enrollment | 764 (estimated) |
| Sponsor | Sengkang General Hospital Academic / other |
| Locations | 1 site (Singapore, Singapore) |
| Status | Recruiting |
| Started | January 2, 2023 |
| Main results expected | June 30, 2030 |
| Study ends | December 31, 2031 |
| Registry record updated | May 4, 2026 |
| Trial ID | NCT05822895 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include all adult patients scheduled for a colonoscopy at Sengkang General Hospital.
✕Probably not a fit
Patients with incomplete or failed colonoscopy, previous colorectal cancers, or poor bowel preparation may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates the effectiveness of the GI Genius Intelligent Endoscopy Module in enhancing the adenoma detection rate (ADR) during colonoscopies in a multi-ethnic Asian population in Singapore. Over a two-year period, adult patients undergoing colonoscopy will be recruited to assess the impact of AI guidance on polyp detection compared to historical data from a period when AI was not utilized. The study aims to collect demographic, procedural, and histological data to determine the effectiveness of this technology in improving colonoscopy outcomes.
Why it matters
Potential benefit: If successful, this study could lead to improved detection of adenomatous polyps, thereby reducing the risk of colorectal cancer in patients.
How similar studies have gone: Previous studies have shown that computer-assisted detection systems can significantly increase adenoma detection rates, indicating a promising approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * all adult patients going for colonoscopy in the our institution Exclusion Criteria: * Patients with incomplete or failed colonoscopy, flexible sigmoidoscopy, colonoscopy done after previous colorectal cancers or previous colonic resections, patients with poor bowel preparation, when deemed by the endoscopist to have an incomplete assessment of the colon
Where it's running
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Sengkang General Hospital
Singapore, Singapore, Singapore Recruiting
Study contacts
- Principal investigator: Frederick H Koh, FRCSEd — Sengkang General Hospital
- Study coordinator: Frederick H Koh, FRCSEd
- Email: frederick.koh.h.x@singhealth.com.sg
- Phone: +65-84281117
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.