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Articles Published Processes
9/28/2020 7:42:41 AM | Browse: 786 | Download: 1348
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Received |
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2020-07-08 19:55 |
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Peer-Review Started |
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2020-07-08 19:56 |
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To Make the First Decision |
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Return for Revision |
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2020-08-08 19:48 |
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Revised |
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2020-09-01 19:48 |
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Second Decision |
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2020-09-17 13:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-09-17 18:01 |
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Articles in Press |
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2020-09-17 18:01 |
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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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2020-09-27 00:54 |
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Publish the Manuscript Online |
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2020-09-28 07:42 |
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) 2020. 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 |
Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
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Manuscript Source |
Invited Manuscript |
All Author List |
Miguel Jiménez Pérez and Rocío González Grande |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Miguel Jiménez Pérez, MD, PhD, Chief Doctor, UGC de Aparato Digestivo, Unidad de Hepatología-Trasplante Hepático, Hospital Regional Universitario de Málaga, Avenida Carlos Haya, Málaga 29010, Spain. mjimenezp@commalaga.com |
Key Words |
Artificial intelligence; Machine learning; Hepatocellular carcinoma; Diagnosis; Treatment; Prognosis |
Core Tip |
The biological variability in the behavior of hepatocellular carcinoma (HCC), conditioned by multiple factors, makes it difficult to establish general standards of action applicable equally to all patients. Analysis of the vast amount of data now available and their relation with tumor behavior is fundamental to be able to establish an efficient approach to HCC. It is here that the computational power of artificial intelligence can play a determining role, though it is necessary to understand the strengths and limitations of this technology before it can be applied in clinical practice. |
Publish Date |
2020-09-28 07:42 |
Citation |
Jiménez Pérez M, Grande RG. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World J Gastroenterol 2020; 26(37): 5617-5628 |
URL |
https://www.wjgnet.com/1007-9327/full/v26/i37/5617.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v26.i37.5617 |
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