Yoo BS, D'Souza SM, Houston K, Patel A, Lau J, Elmahdi A, Parekh PJ, Johnson D. Artificial intelligence and colonoscopy − enhancements and improvements. Artif Intell Gastrointest Endosc 2021; 2(4): 157-167 [DOI: 10.37126/aige.v2.i4.157]
Corresponding Author of This Article
David Johnson, MD MACG, FASGE, MACP, Professor of Medicine, Chief, Division of Gastroenterology Department of Internal Medicine, Eastern Virginia Medical School, 886 Kempsville Road Suite 114, Norfolk, VA 23505, United States. dajevms@aol.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
Artif Intell Gastrointest Endosc. Aug 28, 2021; 2(4): 157-167 Published online Aug 28, 2021. doi: 10.37126/aige.v2.i4.157
Artificial intelligence and colonoscopy − enhancements and improvements
Byung Soo Yoo, Steve M D'Souza, Kevin Houston, Ankit Patel, James Lau, Alsiddig Elmahdi, Parth J Parekh, David Johnson
Byung Soo Yoo, Steve M D'Souza, Kevin Houston, Ankit Patel, James Lau, Alsiddig Elmahdi, Department of Medicine, Eastern Virginia Medical School, Norfolk, VA 23507, United States
Parth J Parekh, David Johnson, Division of Gastroenterology, Department of Internal Medicine, Eastern Virginia Medical School, Norfolk, VA 23505, United States
Author contributions: Johnson DA, Parekh PJ, D'Souza SM and Yoo BS contributed to the construction of the project; all authors wrote and edited the manuscript.
Conflict-of-interest statement: Authors have nothing to disclose.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: David Johnson, MD MACG, FASGE, MACP, Professor of Medicine, Chief, Division of Gastroenterology Department of Internal Medicine, Eastern Virginia Medical School, 886 Kempsville Road Suite 114, Norfolk, VA 23505, United States. dajevms@aol.com
Received: June 5, 2021 Peer-review started: June 5, 2021 First decision: June 18, 2021 Revised: June 21, 2021 Accepted: July 23, 2021 Article in press: July 23, 2021 Published online: August 28, 2021 Processing time: 92 Days and 13.8 Hours
Abstract
Artificial intelligence is a technology that processes and analyzes information with reproducibility and accuracy. Its application in medicine, especially in the field of gastroenterology, has great potential to facilitate in diagnosis of various disease states. Currently, the role of artificial intelligence as it pertains to colonoscopy revolves around enhanced polyp detection and characterization. The aim of this article is to review the current and potential future applications of artificial intelligence for enhanced quality of detection for colorectal neoplasia.
Core Tip: The application of artificial intelligence (AI) in medicine and gastroenterology has demonstrated to date, broad utility in both disease diagnostics and management. The utility of AI in colonoscopy has recently demonstrated enhanced polyp detection and characterization, assessment for mucosal healing and identification of dysplasia associated with inflammatory bowel disease, as well as assessment of the quality of bowel preparation for colonoscopy.
