Publication Name	World Journal of Gastroenterology
Manuscript ID	62488
Country	China

Received	2021-01-10 09:02
Peer-Review Started	2021-01-10 09:03
To Make the First Decision
Return for Revision	2021-02-11 01:32
Revised	2021-02-23 06:47
Second Decision	2021-03-12 14:27
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-03-13 06:46
Articles in Press	2021-03-13 06:46
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-03-18 22:49
Typeset the Manuscript	2021-03-29 01:08
Publish the Manuscript Online	2021-04-09 09:07

ISSN	1007-9327 (print) and 2219-2840 (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	Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?
Manuscript Source	Invited Manuscript
All Author List	Yong Liu
ORCID	Author(s) ORCID Number Yong Liu http://orcid.org/0000-0002-4048-5837
Funding Agency and Grant Number
Corresponding Author	Yong Liu, MD, PhD, Doctor, Surgeon, Surgical Oncologist, Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 26, Shengli Street, Wuhan 430011, Hubei , China. liuyong7575@163.com
Key Words	Early esophageal cancer; Artificial intelligence; Endoscopy; Diagnosis; Trend
Core Tip	Esophageal cancer (EC) is one of the common malignant tumors of the digestive tract. Early EC lesions can be cured by endoscopic therapy and the curative effect is equivalent to that of surgical operation. Upper gastrointestinal endoscopy is still the gold standard for EC diagnosis while the accuracy of endoscopy depends on parts of the professional experience. Artificial intelligence (AI) has been applied in the screening of early EC shown to be good assistant for those less-experienced endoscopists. This manuscript reviews the state of art of AI applications in clinical early EC detection by endoscopy for those who will be interested in this field.
Publish Date	2021-04-09 09:07
Citation	Liu Y. Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step? World J Gastroenterol 2021; 27(14): 1392-1405
URL	https://www.wjgnet.com/1007-9327/full/v27/i14/1392.htm
DOI	https://dx.doi.org/10.3748/wjg.v27.i14.1392

Full Article (PDF)	WJG-27-1392.pdf
Full Article (Word)	WJG-27-1392.docx
Manuscript File	62488-Review-FilipodiaCL.docx
Answering Reviewers	62488-Answering reviewers.pdf
Audio Core Tip	62488-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	62488-Conflict-of-interest statement.pdf
Copyright License Agreement	62488-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	62488-Language certificate.pdf
Peer-review Report	62488-Peer-review(s).pdf
Scientific Misconduct Check	62488-Bing-Yan JP-1.jpg
Scientific Misconduct Check	62488-Scientific misconduct check.pdf
Scientific Editor Work List	62488-Scientific editor work list.pdf