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9/17/2020 1:56:13 AM | Browse: 666 | Download: 1533
Publication Name World Journal of Gastroenterology
Manuscript ID 57092
Country/Territory China
Received
2020-05-25 11:18
Peer-Review Started
2020-05-25 11:18
To Make the First Decision
Return for Revision
2020-07-29 04:17
Revised
2020-07-29 06:34
Second Decision
2020-08-11 12:37
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-08-12 07:20
Articles in Press
2020-08-12 07:20
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-08-22 06:33
Typeset the Manuscript
2020-09-11 07:32
Publish the Manuscript Online
2020-09-17 01:56
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) 2020. 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 esophageal cancer management: Now and future
Manuscript Source Invited Manuscript
All Author List Yu-Hang Zhang, Lin-Jie Guo, Xiang-Lei Yuan and Bing Hu
ORCID
Author(s) ORCID Number
Yu-Hang Zhang http://orcid.org/0000-0003-2268-6149
Lin-Jie Guo http://orcid.org/0000-0002-0852-3186
Xiang-Lei Yuan http://orcid.org/0000-0003-2281-5094
Bing Hu http://orcid.org/0000-0002-9898-8656
Funding Agency and Grant Number
Funding Agency Grant Number
Sichuan Science and Technology Department Key R and D Projects 2019YFS0257
Chengdu Technological Innovation R and D Projects 2018-YFYF-00033-GX
Corresponding Author Bing Hu, MD, Chief Doctor, Professor, Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Wuhou District, Chengdu 610041, Sichuan Province, China. hubingnj@163.com
Key Words Artificial intelligence; Computer-aided diagnosis; Deep learning; Esophageal squamous cell cancer; Barrett’s esophagus; Endoscopy
Core Tip Deep-learning-based artificial intelligence (AI) is a breakthrough technology that has been widely explored in diagnosis, treatment and prediction of esophageal cancer. Present studies have dealt with limitations of previous researches, namely small sample size, selecting bias, lack of external validation and algorithm efficiency, etc. Favorable outcomes that are comparable to experienced endoscopists have been obtained with satisfactory robustness, indicating a real-time potential. Future randomized controlled trials are needed to further address these issues concerning AI to provide an ultimate patient-centered satisfaction, in an interpretable, ethical and legal manner.
Publish Date 2020-09-17 01:56
Citation Zhang YH, Guo LJ, Yuan XL, Hu B. Artificial intelligence-assisted esophageal cancer management: Now and future. World J Gastroenterol 2020; 26(35): 5256-5271
URL https://www.wjgnet.com/1007-9327/full/v26/i35/5256.htm
DOI https://dx.doi.org/10.3748/wjg.v26.i35.5256
Full Article (PDF) WJG-26-5256.pdf
Full Article (Word) WJG-26-5256.docx
Manuscript File 57092-Review-Ma JY.docx
Answering Reviewers 57092-Answering reviewers.pdf
Audio Core Tip 57092-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 57092-Conflict-of-interest-statement.pdf
Copyright License Agreement 57092-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 57092-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate 57092-Language certificate.pdf
Peer-review Report 57092-Peer-review(s).pdf
Scientific Misconduct Check 57092-Bing-Yan JP-1.png
Scientific Misconduct Check 57092-Scientific misconduct check.pdf
Scientific Editor Work List 57092-Scientific editor work list.pdf