Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Oct 28, 2020; 1(2): 28-32
Published online Oct 28, 2020. doi: 10.37126/aige.v1.i2.28
Artificial intelligence in Barrett’s esophagus: A renaissance but not a reformation
Karen Chang, Christian S Jackson, Kenneth J Vega
Karen Chang, Department of Internal Medicine, University of California, Riverside School of Medicine, Riverside, CA 92521, United States
Christian S Jackson, Gastroenterology Section, VA Loma Linda Healthcare Syst, Loma Linda, CA 92357, United States
Kenneth J Vega, Division of Gastroenterology and Hepatology, Department of Medicine, Augusta University-Medical College of Georgia, Augusta, GA 30912, United States
Author contributions: All authors planned the editorial and reviewed all data included; all authors wrote the editorial and revised it for intellectual content; and approved the final submitted version; Vega KJ is the editorial guarantor.
Conflict-of-interest statement: All authors have no conflict of interests to declare.
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: Kenneth J Vega, MD, Professor, Division of Gastroenterology and Hepatology, Department of Medicine, Augusta University-Medical College of Georgia, 1120 15th Street, AD 2226, Augusta, GA 30912, United States. kvega@augusta.edu
Received: October 10, 2020
Peer-review started: October 10, 2020
First decision: October 22, 2020
Revised: October 26, 2020
Accepted: October 27, 2020
Article in press: October 27, 2020
Published online: October 28, 2020
Processing time: 17 Days and 4.9 Hours
Core Tip

Core Tip: Screening and surveillance in patients with Barrett’s esophagus (BE) remain problematic in regards to accuracy and adherence. This occurs in spite of recom-mendations and advances in endoscopic imaging. Artificial intelligence (AI) algorithms assist in endoscopic evaluation of BE by identifying potential targets for biopsy. This may occur by increasing endoscopic efficiency and diagnosing accuracy by decreasing procedure time. AI in BE has been developed by expert endoscopists and appear to perform similarly among them. At this point, the benefit of AI in BE may be for use by non-expert endoscopists and trainees to maximize BE endoscopic evaluation.