Ignite Creation Date:
2025-12-24 @ 11:30 PM
Ignite Modification Date:
2025-12-25 @ 9:18 PM
Study NCT ID:
NCT04586556
Status:
COMPLETED
Last Update Posted:
2022-11-25
First Post:
2020-10-01
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps
Sponsor:
Centre hospitalier de l'Université de Montréal (CHUM)
Organization:
Study Overview
Official Title:
Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps
Status:
COMPLETED
Status Verified Date:
2022-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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);
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 Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: