Minireviews
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Jun 28, 2022; 3(3): 16-30
Published online Jun 28, 2022. doi: 10.37126/aige.v3.i3.16
Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions
Harshavardhan Rao B, Judy A Trieu, Priya Nair, Gilad Gressel, Mukund Venu, Rama P Venu
Harshavardhan Rao B, Priya Nair, Rama P Venu, Department of Gastroenterology, Amrita Institute of Medical Sciences, Kochi 682041, Kerala, India
Judy A Trieu, Mukund Venu, Internal Medicine - Gastroenterology, Loyola University Medical Center, Maywood, IL 60153, United States
Gilad Gressel, Center for Cyber Security Systems and Networks, Amrita Vishwavidyapeetham, Kollam 690546, Kerala, India
Author contributions: Rao B H, Trieu JA, and Nair P performed the majority of the writing, prepared the figures and tables; Gressel G provided valuable inputs in the technical aspects of Artificial intelligence and data science; Venu M and Venu RP designed the outline and coordinated the writing of the paper.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Rama P Venu, AGAF, FACG, FACP, FASGE, MD, Emeritus Professor, Department of Gastroenterology, Amrita Institute of Medical Sciences, Amrita University, Kochi 682041, India. ramapvenu@yahoo.com
Received: December 30, 2021
Peer-review started: December 30, 2021
First decision: February 21, 2022
Revised: March 7, 2022
Accepted: May 7, 2022
Article in press: May 7, 2022
Published online: June 28, 2022
Processing time: 179 Days and 20.8 Hours
Core Tip

Core Tip: The influence of artificial intelligence (AI) based applications in our everyday practice as endoscopists has been steadily increasing. One of the areas where it has shown promise is in image discrimination and diagnosis, which has many applications in endoscopy. The increasing application and rapid advancement of technology in this area necessitates an understanding of the basics and scope of AI in gastroenterology. In this review, a brief technical basis of AI in image discrimination has been described, followed by an update on the role of AI in the prevention of colorectal cancer and the evaluation of specific pancreatic lesions using endoscopic ultrasound.