Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	68730
Country	United States

Received	2021-06-02 15:23
Peer-Review Started	2021-06-02 15:26
To Make the First Decision
Return for Revision	2021-06-18 05:31
Revised	2021-06-20 20:07
Second Decision	2021-06-28 12:34
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-06-28 12:58
Articles in Press	2021-06-28 12:58
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-07-05 06:40
Publish the Manuscript Online	2021-07-06 09:59

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/
Copyright	© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies
Manuscript Source	Invited Manuscript
All Author List	Ravinder Mankoo, Ahmad H Ali and Ghassan M Hammoud
ORCID	Author(s) ORCID Number Ravinder Mankoo http://orcid.org/0000-0001-7581-2167 Ahmad H Ali http://orcid.org/0000-0001-8553-7744 Ghassan M Hammoud http://orcid.org/0000-0003-3551-0652
Funding Agency and Grant Number
Corresponding Author	Ghassan M Hammoud, MD, Professor, Division of Gastroenterology and Hepatology, University of Missouri School of Medicine, One hospital Dr, Columbia, MO 65212, United States. hammoudg@health.missouri.edu
Key Words	Artificial intelligence; Deep learning; Machine learning; Convolutional neural network; Endoscopic ultrasound; Autoimmune pancreatitis; Pancreatic ductal adenocarcinoma; Chronic pancreatitis; Intraductal papillary mucinous neoplasm
Core Tip	Artificial intelligence is an emerging diagnostic tool that may further aid clinicians in the current evaluation of diseases of the pancreas.
Publish Date	2021-07-06 09:59
Citation	Mankoo R, Ali AH, Hammoud GM. Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies. Artif Intell Gastrointest Endosc 2021; 2(3): 89-94
URL	https://www.wjgnet.com/2689-7164/full/v2/i3/89.htm
DOI	https://dx.doi.org/10.37126/aige.v2.i3.89

Full Article (PDF)	AIGE-2-89.pdf
Full Article (Word)	AIGE-2-89.docx
Manuscript File	68730_Auto_Edited-ZMG.docx
Answering Reviewers	68730-Answering reviewers.pdf
Audio Core Tip	68730-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	68730-Conflict-of-interest statement.pdf
Copyright License Agreement	68730-Copyright license agreement.pdf
Peer-review Report	68730-Peer-review(s).pdf
Scientific Misconduct Check	68730-Bing-Liu M-1.png
Scientific Misconduct Check	68730-Bing-Liu M-2.png
Scientific Misconduct Check	68730-Scientific misconduct check.pdf
Scientific Editor Work List	68730-Scientific editor work list.pdf
CrossCheck Report	68730-CrossCheck report.pdf