AI-assisted optical diagnosis for colorectal polyps

Using Artificial Intelligence-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps

Not applicable Interventional Centre hospitalier de l'Université de Montréal (CHUM) · NCT06059378

This study is testing whether an AI tool can accurately identify small colorectal polyps during colonoscopy, both with help from doctors and on its own, to see how well it works for patients.

Quick facts

PhaseNot applicable
Study typeInterventional
Enrollment204 (estimated)
Ages45 Years to 80 Years
SexAll
SponsorCentre hospitalier de l'Université de Montréal (CHUM) Academic / other
Locations1 site (Montreal, Quebec)
Trial IDNCT06059378 on ClinicalTrials.gov

What this trial studies

This prospective study aims to evaluate the accuracy of AI-assisted optical diagnosis for diminutive colorectal polyps during colonoscopy. It will compare the AI's diagnostic capabilities, both autonomous and with human input, against the reference standard provided by expert endoscopists. The study will involve two phases: the first 102 patients will have their diagnoses assisted by endoscopists, while subsequent patients will rely solely on autonomous AI diagnosis. Participants will be informed about the study and must provide consent to undergo the procedures.

Who should consider this trial

Good fit: Ideal candidates are adults aged 45-80 who are scheduled for an outpatient colonoscopy at the Centre Hospitalier de l'Université de Montréal.

Not a fit: Patients with inflammatory bowel disease, active colitis, hereditary colorectal cancer syndrome, coagulopathy, or those with an ASA status greater than 3 may not benefit from this study.

Why it matters

Potential benefit: If successful, this approach could enhance the accuracy of polyp diagnosis and potentially reduce unnecessary procedures for patients.

How similar studies have performed: While the use of AI in optical diagnosis is a growing field, this specific implementation of resect and discard strategies in real-time practice is novel and has not been extensively tested in prior studies.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age 45-80 years
* Undergoing an outpatient colonoscopy at the Centre Hospitalier de l'Université de Montréal (CHUM)
* Signed informed consent form

Exclusion Criteria:

* Inflammatory Bowel Disease;
* Active colitis;
* Hereditary CRC syndrome;
* Coagulopathy;
* American Society of Anesthesiologists (ASA) status \>3

Where this trial is running

Montreal, Quebec

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 Artificial IntelligenceArtificial intelligencOptical diagnosisColonoscopyResect and Discard
Last reviewed 2026-06-09 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.