Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions
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.
: 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. firstname.lastname@example.org
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