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7/6/2021 10:06:23 AM | Browse: 289 | Download: 458
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 68730
Country/Territory 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 Company 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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
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
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