Using AI to improve polyp detection during colonoscopy

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

Observational Sengkang General Hospital · NCT05822895

This study is testing whether using AI technology during colonoscopies can help doctors find more polyps in adults in Singapore.

Quick facts

Study typeObservational
Enrollment764 (estimated)
Ages21 Years to 90 Years
SexAll
SponsorSengkang General Hospital Academic / other
Locations1 site (Singapore, Singapore)
Trial IDNCT05822895 on ClinicalTrials.gov

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.

Who should consider this trial

Good fit: Ideal candidates include all adult patients scheduled for a colonoscopy at Sengkang General Hospital.

Not a fit: Patients with incomplete or failed colonoscopy, previous colorectal cancers, or poor bowel preparation may not benefit from this study.

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 performed: Previous studies have shown that computer-assisted detection systems can significantly increase adenoma detection rates, indicating a promising approach.

Eligibility criteria

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 this trial is running

Singapore, Singapore

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Colonic PolypColonic polypcolonoscopyartificial intelligenceimplementation science
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.