Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules

Launched by CENTRE HOSPITALIER DE L'UNIVERSITÉ DE MONTRÉAL (CHUM) · Feb 7, 2025

Keywords

ClinConnect Summary

This clinical trial is focused on creating a library of videos and images from complete and partial endoscopy procedures, specifically for patients dealing with colon polyps or rectal cancer. The aim is to use this library to build advanced computer programs—known as artificial intelligence (AI)—that can help doctors automatically check and report the quality of their endoscopy procedures. Additionally, this project will provide valuable educational tools for medical trainees to improve their skills in performing endoscopies.

To participate in this study, individuals must be at least 18 years old and scheduled for a type of endoscopy, which is a procedure that allows doctors to look inside the digestive tract. However, those with certain health conditions, such as severe bleeding risks or poor overall health, may not be eligible. Participants can expect to contribute to a significant advancement in how endoscopy procedures are evaluated and taught, which could ultimately improve patient care. This trial is currently recruiting participants, and everyone is welcome to apply, regardless of gender.

Gender

ALL

Eligibility 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