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Articles Published Processes
5/10/2022 9:43:36 AM | Browse: 494 | Download: 1174
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Received |
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2021-02-26 13:10 |
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Peer-Review Started |
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2021-02-26 13:24 |
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To Make the First Decision |
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Return for Revision |
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2021-05-03 05:25 |
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Revised |
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2021-06-21 21:38 |
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Second Decision |
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2022-04-11 02:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-04-21 18:24 |
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Articles in Press |
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2022-04-21 18:24 |
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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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2022-04-27 12:25 |
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Publish the Manuscript Online |
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2022-05-10 09:43 |
| ISSN |
1948-5204 (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) 2022. 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 |
Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Scott B Minchenberg, Trent Walradt and Jeremy R Glissen Brown |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Jeremy R Glissen Brown, MD, Academic Fellow, Division of Gastroenterology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02130, United States. jglissen@bidmc.harvard.edu |
| Key Words |
Artificial intelligence; Oncology; Gastroenterology; Endoscopy; Machine learning; Computer-assisted decision making; Computer-aided detection; Computer-aided diagnosis |
| Core Tip |
Artificial intelligence (AI) technologies have become a topic of intense investigation in clinical medicine. In gastrointestinal oncology AI has been employed in multiple areas, with notable progress seen in computer-aided detection and computer-aided diagnosis. Most efforts have focused on colorectal cancer, but AI systems have also been developed for malignancies involving the esophagus, stomach, pancreas and liver. Although studies in this field have demonstrated excellent diagnostic characteristics, many have limited external validity. This article will review the current evidence for AI technologies applied to the detection and diagnosis of gastrointestinal malignancies. |
| Publish Date |
2022-05-10 09:43 |
| Citation |
Minchenberg SB, Walradt T, Glissen Brown JR. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy. World J Gastrointest Oncol 2022; 14(5): 989-1001 |
| URL |
https://www.wjgnet.com/1948-5204/full/v14/i5/989.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v14.i5.989 |
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