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

Adenomatous Polyps Clinical Trial

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

Clinical Trial 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).

Clinical Trial 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); ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04586556
Study type Interventional
Source Centre hospitalier de l'Université de Montréal (CHUM)
Contact
Status Completed
Phase N/A
Start date December 18, 2020
Completion date May 11, 2022
View Details
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