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4/28/2022 2:02:04 PM | Browse: 368 | Download: 907
Publication Name Artificial Intelligence in Cancer
Manuscript ID 74661
Country Italy
Received
2021-12-31 09:42
Peer-Review Started
2021-12-31 09:43
To Make the First Decision
Return for Revision
2022-03-12 02:38
Revised
2022-03-27 17:53
Second Decision
2022-04-15 01:58
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-04-19 21:39
Articles in Press
2022-04-19 21:39
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-04-28 09:19
Publish the Manuscript Online
2022-04-28 13:59
ISSN 2644-3228 (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 Usefulness of artificial intelligence in early gastric cancer
Manuscript Source Invited Manuscript
All Author List Alba Panarese
Funding Agency and Grant Number
Corresponding Author Alba Panarese, MD, Director, Gastroenterology and Endoscopy, Central Hospital, Bruno Street, 1, Taranto 74123, Italy. albapanarese@libero.it
Key Words Early gastric cancer; Artificial intelligence; Helicobacter pylori; Endoscopic submucosal dissection; Dysplasia; Computer-aided; Detection
Core Tip Early diagnosis and treatment of gastric cancer (GC) can benefit from the introduction of artificial intelligence (AI) into endoscopic diagnostics of the upper digestive tract. AI improves endoscopic diagnosis because it overcomes the difficulty of diagnosis linked to the experience of the endoscopist. Improving endoscopic diagnosis will allow for better treatment, which is more likely to be curative, with submucosal endoscopic dissection or surgery. However, because research advances in this area continue to be rapid, prospective multicenter studies are needed on the application of AI to the diagnosis of early GC.
Publish Date 2022-04-28 13:59
Citation Panarese A. Usefulness of artificial intelligence in early gastric cancer. Artif Intell Cancer 2022; 3(2): 17-26
URL https://www.wjgnet.com/2644-3228/full/v3/i2/17.htm
DOI https://dx.doi.org/10.35713/aic.v3.i2.17
Full Article (PDF) AIC-3-17.pdf
Full Article (Word) AIC-3-17.docx
Manuscript File 74661_Auto_Edited-LJH.docx
Answering Reviewers 74661-Answering reviewers.pdf
Audio Core Tip 74661-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 74661-Conflict-of-interest statement.pdf
Copyright License Agreement 74661-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 74661-Language certificate.pdf
Peer-review Report 74661-Peer-review(s).pdf
Scientific Misconduct Check 74661-Bing-Liu JH-2.jpg
Scientific Misconduct Check 74661-CrossCheck.jpg
Scientific Editor Work List 74661-Scientific editor work list.pdf