Actively Recruiting
Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules
Led by Centre hospitalier de l'Université de Montréal (CHUM) · Updated on 2025-02-18
10000
Participants Needed
1
Research Sites
342 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this observational study is to establish a video/image library dataset of complete endoscopy or partial colonoscopy procedures for patients with rectal cancer or inflammatory bowel disease (IBD). With this video/image library, the aims are: * to develop and validate novel AI-empowered solutions to automatically detect and report endoscopy quality metrics * to develop automated endoscopy reporting solutions, auditing, and educational tools for residents and fellows to enhance their endoscopy skills. The hypothesis is that a heterogeneous video/image library will provide: * comprehensive and robust source material to develop AI models * real-time quality feedback at the end of an endoscopy procedure.
CONDITIONS
Official Title
Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 18 years of age or older
- Scheduled for a screening, surveillance, diagnostic, or therapeutic upper (EGD) or lower (colonoscopy) endoscopy
You will not qualify if you...
- Coagulopathy with an INR of 2.5 or higher
- Platelet count of 50,000/mm3 or lower
- Emergency endoscopy
- Poor general health defined as American Society of Anesthesiologists physical status class greater than 3
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Centre Hospitalier de l'Université de Montréal
Montreal, Quebec, Canada
Actively Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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