Creating a video library of endoscopy procedures to improve AI quality reporting and education

Creation of a Video/Image Library of Annotated Full-length Endoscopy Procedures for the Development of Artificial Intelligence-empowered Endoscopy Quality Reporting and Educational Modules

Observational Centre hospitalier de l'Université de Montréal (CHUM) · NCT06822816

This study is creating a video library of endoscopy procedures to help improve the quality of care for patients with rectal cancer or inflammatory bowel disease and to train future doctors.

Quick facts

Study typeObservational
Enrollment10000 (estimated)
Ages18 Years and up
SexAll
SponsorCentre hospitalier de l'Université de Montréal (CHUM) Academic / other
Locations1 site (Montreal, Quebec)
Trial IDNCT06822816 on ClinicalTrials.gov

What this trial studies

This observational study aims to establish a comprehensive video/image library of endoscopy procedures for patients with rectal cancer or inflammatory bowel disease. By collecting these recordings, the study seeks to develop and validate AI-driven solutions that can automatically detect and report endoscopy quality metrics. Additionally, the library will serve as a resource for creating educational tools to enhance the skills of residents and fellows in endoscopy. The study will involve recruiting patients undergoing upper or lower gastrointestinal endoscopies at the Centre Hospitalier de l'Université de Montréal, with all procedures performed by trained gastroenterologists.

Who should consider this trial

Good fit: Ideal candidates for this study are adults aged 18 and older who are scheduled for screening, surveillance, diagnostic, or therapeutic endoscopies.

Not a fit: Patients with coagulopathy, emergency endoscopy needs, or poor general health may not benefit from this study.

Why it matters

Potential benefit: If successful, this initiative could significantly enhance the quality of endoscopic procedures and training for healthcare professionals.

How similar studies have performed: While the use of AI in endoscopy is an emerging field, similar studies have shown promise in improving procedural quality and training outcomes.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* ≥ 18 y.o.
* indication of undergoing a screening, surveillance, diagnostic, or therapeutic upper (EGD) or lower (colonoscopy) endoscopy

Exclusion Criteria:

* Coagulopathy defined as an elevated INR ≥ 2.5
* Platelet count ≤ 50,000/mm3
* Emergency endoscopy
* Poor general health defined as the American Society of Anesthesiologists physical status class \>3

Where this trial is running

Montreal, Quebec

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 Polyp of ColonArtificial Intelligence
Last reviewed 2026-06-13 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.