Real-time Adenoma Detection Using AI Assistance During Colonoscopies A Randomized Controlled Study in Canadian Healthcare Centers

What this Trial Is About

Researchers are evaluating the impact of using a Computer-assisted detection CADe system called Medtronic-GI genius during colonoscopies in Canadian healthcare centers. This randomized, double-blind study aims to see if the adenoma detection rate ADR is higher when the CADe technology is used compared to standard colonoscopy rooms without the system. The study includes patients aged 45 to 89 who are undergoing screening, surveillance, or diagnostic colonoscopy. Participants will be randomly assigned to two groups one will have colonoscopies in rooms equipped with the GI genius CADe system, which can provide real-time alerts by displaying bounding boxes around polyps on the screen. The other group will have colonoscopies in standard rooms without the CADe system, relying on the endoscopists usual detection methods. Use of the CADe system is at the discretion of the performing physician in the intervention group. All polyps found will be removed and analyzed in pathology labs as part of routine care. Throughout the study, data such as procedure details, histopathology results, and CADe usage will be collected and securely stored. Researchers will monitor outcomes including adenoma detection rates and other lesion detection measures within 30 days after colonoscopy. The study will run across four centers in Canada and continue for about three years, with regular data collection and analysis to assess the effectiveness of AI-assisted detection in routine colonoscopy practice.

Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies