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6/28/2022 6:24:22 AM | Browse: 354 | Download: 861
Publication Name Artificial Intelligence in Medical Imaging
Manuscript ID 75310
Country/Territory United States
Received
2022-01-28 03:43
Peer-Review Started
2022-01-28 03:45
To Make the First Decision
Return for Revision
2022-03-28 05:45
Revised
2022-05-18 03:10
Second Decision
2022-06-17 03:04
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-06-20 17:46
Articles in Press
2022-06-20 17:46
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-06-26 15:58
Publish the Manuscript Online
2022-06-28 02:17
ISSN 2644-3260 (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) 2022. 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 Advances and horizons for artificial intelligence of endoscopic screening and surveillance of gastric and esophageal disease
Manuscript Source Invited Manuscript
All Author List Byung Soo Yoo, Kevin V Houston, Steve M D'Souza, Alsiddig Elmahdi, Isaac Davis, Ana Vilela, Parth J Parekh and David A Johnson
Funding Agency and Grant Number
Corresponding Author David A Johnson, FACG, FACP, FASGE, MD, Chief Doctor, Full Professor, Division of Gastroenterology, Department of Internal Medicine, Eastern Virginia Medical School, 886 Kempsville Road Suite 114, Norfolk, VA 23507, United States. dajevms@aol.com
Key Words Artificial intelligence; Endoscopy; Gastric cancer; Gastric polyps; Barrett’s esophagus; Esophageal cancer
Core Tip The application of artificial intelligence (AI) in gastroenterology has demonstrated broad utility in esophageal and gastric disease diagnosis and management. The current data shows that AI can be used for gastric polyp and cancer detection and characterization as well as screening and surveillance for esophageal cancer and its high-risk conditions such as Barrett’s esophagus. The AI systems can also apply in conditions such as achalasia, post-caustic esophageal injuries, and eosinophilic esophagitis.
Publish Date 2022-06-28 02:17
Citation Yoo BS, Houston KV, D'Souza SM, Elmahdi A, Davis I, Vilela A, Parekh PJ, Johnson DA. Advances and horizons for artificial intelligence of endoscopic screening and surveillance of gastric and esophageal disease. Artif Intell Med Imaging 2022; 3(3): 70-86
URL https://www.wjgnet.com/2644-3260/full/v3/i3/70.htm
DOI https://dx.doi.org/10.35711/aimi.v3.i3.70
Full Article (PDF) AIMI-3-70.pdf
Full Article (Word) AIMI-3-70.docx
Manuscript File 75310_Auto_Edited_LM.docx
Answering Reviewers 75310-Answering reviewers.pdf
Audio Core Tip 75310-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 75310-Conflict-of-interest statement.pdf
Copyright License Agreement 75310-Copyright license agreement.pdf
Peer-review Report 75310-Peer-review(s).pdf
Scientific Misconduct Check 75310-Bing-Liu JH-2.jpg
Scientific Misconduct Check 75310-CrossCheck.jpg
Scientific Editor Work List 75310-Scientific editor work list.pdf