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Articles Published Processes
10/27/2021 8:14:26 AM | Browse: 491 | Download: 991
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Received |
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2021-06-06 00:18 |
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Peer-Review Started |
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2021-06-06 00:20 |
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To Make the First Decision |
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Return for Revision |
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2021-06-23 03:54 |
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Revised |
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2021-06-26 19:55 |
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Second Decision |
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2021-09-02 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-09-02 06:10 |
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Articles in Press |
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2021-09-02 06:10 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-10-25 01:30 |
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Publish the Manuscript Online |
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2021-10-27 08:14 |
ISSN |
2644-3236 (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
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations
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Manuscript Source |
Invited Manuscript |
All Author List |
Sarah El-Nakeep and Mohamed El-Nakeep |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Sarah El-Nakeep, MD, Associate Professor, Gastrentrology and hepatology Unit, Internal Medicine Department, Faculty of Medicine, AinShams University, Ramsees street, Cairo 11591, Egypt. sarahnakeep@gmail.com |
Key Words |
Artificial intelligence; Upper gastrointestinal endoscopy; Esophageal cancer, Gastric cancer, Barrett’s esophagus |
Core Tip |
This minireview aims to explore an important topic; the role of artificial intelligence in upper gastrointestinal (GI) endoscopy detection of cancer. We tried to delineate the most common obstacles encountered when trying to implement artificial intelligence in upper GI endoscopy for cancer detection and characterization. Moreover, we tried to outline the future prospects of this technique, along with its benefits, and uncertainties. This topic summarizes the wide scope for integration of artificial intelligence, between the practicing physicians and the computational engineers and how their collaboration could provide a better healthcare services. |
Publish Date |
2021-10-27 08:14 |
Citation |
El-Nakeep S, El-Nakeep M. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artif Intell Gastroenterol 2021; 2(5): 124-132 |
URL |
https://www.wjgnet.com/2644-3236/full/v2/i5/124.htm |
DOI |
https://dx.doi.org/10.35712/aig.v2.i5.124 |
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