Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	74630
Country	India

Received	2021-12-30 05:21
Peer-Review Started	2021-12-30 05:23
To Make the First Decision
Return for Revision	2022-02-21 10:13
Revised	2022-03-07 07:30
Second Decision	2022-05-06 02:56
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-05-07 01:03
Articles in Press	2022-05-07 01:03
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-05-26 08:53
Publish the Manuscript Online	2022-06-28 02:06

ISSN	2689-7164 (online)
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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions
Manuscript Source	Invited Manuscript
All Author List	Harshavardhan Rao B, Judy A Trieu, Priya Nair, Gilad Gressel, Mukund Venu and Rama P Venu
Funding Agency and Grant Number
Corresponding Author	Rama P Venu, AGAF, FACG, FACP, FASGE, MD, Emeritus Professor, Gastroenterology, Amrita Institute of Medical Sciences, Ponekkara,Edapally,kochi,kerala-682041, Kochi 682041, Kerala, India. ramapvenu@yahoo.com
Key Words	Artificial intelligence; Artificial; Machine; Colonoscopy; Polyp; Endosonography; Pancreas
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.
Publish Date	2022-06-28 02:06
Citation	Rao B H, Trieu JA, Nair P, Gressel G, Venu M, Venu RP. Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions. Artif Intell Gastrointest Endosc 2022; 3(3): 16-30
URL	https://www.wjgnet.com/2689-7164/full/v3/i3/16.htm
DOI	https://dx.doi.org/10.37126/aige.v3.i3.16

Full Article (PDF)	AIGE-3-16.pdf
Full Article (Word)	AIGE-3-16.docx
Manuscript File	74630_Auto_Edited-LJH.docx
Answering Reviewers	74630-Answering reviewers.pdf
Audio Core Tip	74630-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	74630-Conflict-of-interest statement.pdf
Copyright License Agreement	74630-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	74630-Language certificate.pdf
Supplementary Material	74630-Supplementary material.pdf
Peer-review Report	74630-Peer-review(s).pdf
Scientific Misconduct Check	74630-Bing-Liu JH-2.jpg
Scientific Misconduct Check	74630-CrossCheck.jpg
Scientific Editor Work List	74630-Scientific editor work list.pdf