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Articles Published Processes
4/26/2021 11:27:56 AM | Browse: 361 | Download: 732
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Received |
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2021-03-24 20:36 |
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Peer-Review Started |
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2021-03-24 20:42 |
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To Make the First Decision |
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Return for Revision |
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2021-03-26 03:18 |
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Revised |
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2021-04-01 21:14 |
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Second Decision |
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2021-04-19 08:47 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-04-20 04:57 |
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Articles in Press |
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2021-04-20 04:57 |
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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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2021-04-25 04:29 |
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Publish the Manuscript Online |
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2021-04-26 11:27 |
ISSN |
2644-3228 (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 |
Editorial |
Article Title |
Artificial intelligence and colorectal cancer: How far can you go?
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Manuscript Source |
Invited Manuscript |
All Author List |
Rita Alloro and Emanuele Sinagra |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Emanuele Sinagra, PhD, Attending Doctor, Gastroenterology and Endoscopy Unit, Fondazione Istituto G. Giglio, Contrada Pietrapollastra Pisciotto, Cefalù, Palermo 90015, Italy. emanuelesinagra83@googlemail.com |
Key Words |
Artificial intelligence; Colorectal cancer; Diagnosis; Treatment; Prognosis |
Core Tip |
In this editorial, we would like to highlight and summarize the research progress and clinical application value of artificial intelligence in the diagnosis, treatment, and prognosis of colorectal cancer to provide evidence for its use as a promising diagnostic and therapeutic tool in this setting. |
Publish Date |
2021-04-26 11:27 |
Citation |
Alloro R, Sinagra E. Artificial intelligence and colorectal cancer: How far can you go? Artif Intell Cancer 2021; 2(2): 7-11 |
URL |
https://www.wjgnet.com/2644-3228/full/v2/i2/7.htm |
DOI |
https://dx.doi.org/10.35713/aic.v2.i2.7 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345