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Articles Published Processes
2/23/2022 9:24:32 AM | Browse: 330 | Download: 687
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Received |
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2021-11-09 00:50 |
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Peer-Review Started |
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2021-11-09 00:51 |
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To Make the First Decision |
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Return for Revision |
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2021-12-27 03:09 |
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Revised |
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2022-01-09 00:20 |
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Second Decision |
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2022-01-24 03:54 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-01-25 03:17 |
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Articles in Press |
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2022-01-25 03:17 |
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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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2022-02-16 13:46 |
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Publish the Manuscript Online |
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2022-02-23 09:24 |
| ISSN |
2218-4333 (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 |
Artificial intelligence and cholangiocarcinoma: Updates and prospects
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Hossein Haghbin and Muhammad Aziz |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Hossein Haghbin, MD, Doctor, Department of Gastroenterology, Ascension Providence Southfield, 16001 W Nine Mile Road, Southfield, MI 48075, United States. hoshaq@yahoo.com |
| Key Words |
Artificial intelligence; Machine learning; Cholangiocarcinoma; Diagnosis; Treatment; Prognosis |
| Core Tip |
The wide array of modalities available to treat cholangiocarcinoma (CCA) in addition to the diversity of the tumor urges us to use individualized therapy. To establish the proper approach to diagnose, treat, and prognose CCA, analysis of available data is the key to achieve the individualized care. Artificial intelligence can be a potential modality for achieving this goal. |
| Publish Date |
2022-02-23 09:24 |
| Citation |
Haghbin H, Aziz M. Artificial intelligence and cholangiocarcinoma: Updates and prospects. World J Clin Oncol 2022; 13(2): 125-134 |
| URL |
https://www.wjgnet.com/2218-4333/full/v13/i2/125.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v13.i2.125 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
