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Spots Global Cancer Trial Database for Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps

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Trial Identification

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

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

Study ID: NCT04586556

Study Description

Brief 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).

Detailed Description: In this trial, the investigators aim to evaluate the followings: 1. the accuracy of automatic detection of important anatomical landmarks (i.e., ileocecal valve, appendiceal orifice); 2. the accuracy of automatic detection of polyps/adenomas (PDR/ADR);

Eligibility

Minimum Age: 45 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Université de Montréal, Montréal, Quebec, Canada

Centre Hospitalier Universitaire de Montréal, Montréal, Quebec, Canada

IHU Strasbourg, Strasbourg, , France

Contact Details

Name: Daniel von Renteln

Affiliation: Centre hospitalier de l'Université de Montréal (CHUM)

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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