Artificial intelligence and colonoscopy − enhancements and improvements

doi:10.37126/aige.v2.i4.157

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Aug 28, 2021 (publication date) through Feb 26, 2026

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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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.

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.

Keywords: Artificial intelligence; Colon polyp; Adenoma detection rate; Dysplasia; Inflammatory bowel disease; Colon preparation

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.