BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/17/2020 1:56:13 AM | Browse: 831 | Download: 2006
 |
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 Executive 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 |
|
| 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 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
