Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 14, 2020; 26(46): 7287-7298
Published online Dec 14, 2020. doi: 10.3748/wjg.v26.i46.7287
Evolving role of artificial intelligence in gastrointestinal endoscopy
Gulshan Parasher, Morgan Wong, Manmeet Rawat
Gulshan Parasher, Morgan Wong, Manmeet Rawat, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States
Author contributions: Parasher G, Wong M and Rawat M contributed to concept design, literature search, writing and editing the manuscript.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
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:
Corresponding author: Manmeet Rawat, PhD, Assistant Professor, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM 87131, United States.
Received: August 1, 2020
Peer-review started: August 1, 2020
First decision: September 30, 2020
Revised: November 2, 2020
Accepted: November 29, 2020
Article in press: November 29, 2020
Published online: December 14, 2020
Processing time: 135 Days and 4.7 Hours
Core Tip

Core Tip: Artificial intelligence (AI) technology seems promising, and the field is full of invention and novel applications in gastrointestinal endoscopy. AI-based endoscopic systems can reliably detect and provide crucial information on gastrointestinal pathology based on their training and validation. These systems will make gastroenterology practice easier, faster, more reliable, and reduce inter-observer variability in the coming years. Gastroenterologists should welcome and embrace AI-assisted technologies in their practice as and when commercially available after thorough vetting in validation studies. A strong collaboration among physicians, computer scientists, and entrepreneurs is also needed to promote AI’s clinical use in medical practice.