CompletedNot Applicable

Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps

Canada, France372 participantsStarted 2020-12-18

Plain-language summary

The investigators hypothesize that the clinical implementation of a deep learning AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps and other anatomical landmarks during colonoscopy. The objectives of this study are to generate preliminary data to evaluate the effectiveness of AI-assisted colonoscopy on: a) the rate of detection of adenomas; b) the automatic detection of the anatomical landmarks (i.e., ileocecal valve and appendiceal orifice).

Who can participate

Age range45 Years – 80 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria : * Signed informed consent * Age 45-80 years * Indication to undergo a lower GI endoscopy. Exclusion Criteria : * Coagulopathy * Poor general health, defined as an American Society of Anesthesiologists (ASA) physical status class \>3 * Emergency colonoscopies * Hospitalized patients * Known inflammatory bowel disease (IBD) * Patients currently in the emergency room

What they're measuring

Number of polyps detected

Timeframe: Day 1

Evaluation of the automatic report of the colonoscopy quality indicators

Timeframe: Day 1

Trial details

NCT IDNCT04586556

SponsorCentre hospitalier de l'Université de Montréal (CHUM)

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2022-03-31

View on ClinicalTrials.gov More Adenomatous Polyps trials