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Artif Intell Gastrointest Endosc. Dec 28, 2021; 2(6): 211-219
Published online Dec 28, 2021. doi: 10.37126/aige.v2.i6.211
Artificial intelligence in polyp detection - where are we and where are we headed?
Kristen E Dougherty, Vatche J Melkonian, Grace A Montenegro
Kristen E Dougherty, Vatche J Melkonian, Grace A Montenegro, Department of Surgery, St. Louis University Hospital, Saint Louis, MO 63110, United States
Author contributions: Dougherty KE and Melkonian VJ and Montenegro GA contributed equally to this work; Dougherty KE and Melkonian VJ and Montenegro GA performed writing, review and editing of the manuscript.
Conflict-of-interest statement: None of the authors have disclosures.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Grace A Montenegro, FACS, MD, MS, Assistant Professor, Surgeon, Department of Surgery, St. Louis University Hospital, 1008 S. Spring Avenue, SLUCare Academic Pavilion, Saint Louis, MO 63110, United States. grace.montenegro@health.slu.edu
Received: April 27, 2021
Peer-review started: April 28, 2021
First decision: May 19, 2021
Revised: July 2, 2021
Accepted: November 18, 2021
Article in press: November 18, 2021
Published online: December 28, 2021
Core Tip

Core Tip: Use of computer aided detection (CADe) in colonoscopy has been shown to increase polyp and adenoma detection rates compared to standard high-definition colonoscopy with little added procedure time. Additionally, CADe have been built to increase quality of screening colonoscopy. These advantages and features have been demonstrated in blinded and non-blinded randomized controlled trials.