Actively Recruiting
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
Led by Centre hospitalier de l'Université de Montréal (CHUM) · Updated on 2025-03-05
1596
Participants Needed
1
Research Sites
178 weeks
Total Duration
On this page
Sponsors
C
Centre hospitalier de l'Université de Montréal (CHUM)
Lead Sponsor
M
McGill University
Collaborating Sponsor
AI-Summary
What this Trial Is About
This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions. The main hypothesis of this study is that the ADR in the operating room equipped with the GI genius CADe system will be significantly higher than the ADR in the ordinary operating room.
CONDITIONS
Official Title
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Indication for screening, surveillance, or diagnostic colonoscopy
- Age between 45 and 89 years
You will not qualify if you...
- Undergoing emergency colonoscopy
- Known familial polyposis syndrome
- Known inflammatory bowel disease
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Centre Hospitalier Universitaire de Montréal
Montreal, Quebec, Canada
Actively Recruiting
How is the study designed?
Study Type
INTERVENTIONAL
Masking
TRIPLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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