Actively Recruiting

Phase Not Applicable
Age: 45Years - 89Years
All Genders
ID05244278

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

21 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

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 endoscopist's 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.

CONDITIONS

Brief Title

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

Who Can Participate

Age: 45Years - 89Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Indication for screening, surveillance, or diagnostic colonoscopy
  • Age 45 to 89 years
Not Eligible

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

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Implementation

Duration - Single procedure day

Participants undergo a colonoscopy with or without the AI-assisted CADe system to detect colorectal polyps in real-time during the procedure.

1 procedure visit (in-person)

Diagnostic Evaluation

Duration - Up to 30 days

Polyps detected during colonoscopy are resected and sent for histological evaluation by board-certified pathologists to classify the lesions.

1 follow-up visit for pathology results

Trial Site Locations

Total: 1 location

1

Centre Hospitalier Universitaire de Montréal

Montreal, Quebec, Canada

Actively Recruiting

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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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