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 Executive 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/
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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
ORCID	Author(s) ORCID Number Alba Panarese http://orcid.org/0000-0002-6931-2171
Funding Agency and Grant Number
Corresponding Author	Alba Panarese, MD, Director, 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
CrossCheck Report	74661-CrossCheck report.pdf