Parasher G, Wong M, Rawat M. Evolving role of artificial intelligence in gastrointestinal endoscopy. World J Gastroenterol 2020; 26(46): 7287-7298 [PMID: 33362384 DOI: 10.3748/wjg.v26.i46.7287]
Corresponding Author of This Article
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. manmeetrawat@gmail.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/
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: http://creativecommons.org/licenses/by-nc/4.0/
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. manmeetrawat@gmail.com
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
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.
