AI-assisted detection of adenomas during colonoscopies
Official title: Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
Run by Centre hospitalier de l'Université de Montréal (CHUM) · NCT05244278 · Data updated 2026-11-12
This study is testing whether a computer system can help doctors find more adenomas during colonoscopies for people aged 45-89 in Canada.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 45 Years to 89 Years |
| Sex | All |
| Enrollment | 1596 (estimated) |
| Sponsor | Centre hospitalier de l'Université de Montréal (CHUM) Academic / other |
| Locations | 1 site (Montreal, Quebec) |
| Status | Recruiting |
| Started | August 1, 2023 |
| Main results expected | January 1, 2027 |
| Study ends | January 1, 2027 |
| Registry record updated | September 21, 2026 |
| Trial ID | NCT05244278 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are individuals aged 45-89 scheduled for a screening, surveillance, or diagnostic colonoscopy.
✕Probably not a fit
Patients undergoing emergency colonoscopy or those with known familial polyposis syndrome or inflammatory bowel disease 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 trial evaluates the effectiveness of a Computer-assisted detection (CADe) system in improving adenoma detection rates during colonoscopies in Canadian healthcare institutions. It is a double-blind, randomized, controlled trial involving four centers across Canada. Patients aged 45-89 who are scheduled for screening, surveillance, or diagnostic colonoscopy will be randomly assigned to either an intervention group using the GI genius CADe system or a control group without it. The study aims to minimize operator bias by keeping endoscopists unaware of the trial's specifics.
Why it matters
Potential benefit: If successful, this study could significantly enhance the detection of adenomas during colonoscopies, leading to better patient outcomes.
How similar studies have gone: Other studies have shown promising results with similar AI-assisted detection approaches, indicating potential for success in this trial.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * indication of undergoing a screening, surveillance, or diagnostic colonoscopy * Age 45-89 years Exclusion Criteria: * Patients undergoing emergency colonoscopy * Patients with a known familial polyposis syndrome or a known inflammatory bowel disease
Where it's running
-
Centre Hospitalier Universitaire de Montréal
Montreal, Quebec, Canada Recruiting
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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.