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Articles Published Processes
7/19/2021 2:10:40 PM | Browse: 571 | Download: 1482
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Received |
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2021-01-28 22:33 |
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Peer-Review Started |
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2021-01-28 22:46 |
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To Make the First Decision |
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Return for Revision |
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2021-03-29 02:05 |
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Revised |
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2021-04-14 11:03 |
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Second Decision |
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2021-06-07 12:28 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-06-07 13:24 |
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Articles in Press |
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2021-06-07 13:24 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-07-07 09:14 |
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Typeset the Manuscript |
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2021-07-15 06:45 |
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Publish the Manuscript Online |
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2021-07-19 14:10 |
| 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
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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 |
Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases
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| Manuscript Source |
Invited Manuscript |
| All Author List |
M Alvaro Berbís, José Aneiros-Fernández, F. Javier Mendoza Olivares, Enrique Nava and Antonio Luna |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Antonio Luna, MD, PhD, Doctor, Doctor, MRI Unit, Department of Radiology, HT Médica, C/ Carmelo Torres 2, Jaén 23007, Spain. aluna70@htime.org |
| Key Words |
Artificial intelligence; Machine learning; Radiology; Endoscopy; Pathology; Gastroenterology |
| Core Tip |
Artificial intelligence in general, and machine learning (ML) in particular, hold a great potential as supporting tools for physicians in the evaluation of neoplastic diseases and other conditions of the gastrointestinal tract. Radiology, endoscopy and pathology images can be read and interpreted using ML approaches in a wide variety of clinical scenarios. These include detection, classification and automatic segmentation of tumor lesions, tumor grading, patient stratification and prediction of treatment response. |
| Publish Date |
2021-07-19 14:10 |
| Citation |
Berbís MA, Aneiros-Fernández J, Mendoza Olivares FJ, Nava E, Luna A. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases. World J Gastroenterol 2021; 27(27): 4395-4412 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i27/4395.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i27.4395 |
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