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Articles Published Processes
7/10/2020 5:53:53 AM | Browse: 803 | Download: 1798
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Received |
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2020-06-09 02:58 |
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Peer-Review Started |
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2020-06-09 02:59 |
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To Make the First Decision |
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Return for Revision |
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2020-06-15 05:33 |
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Revised |
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2020-06-18 14:24 |
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Second Decision |
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2020-06-19 10:36 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-06-19 19:01 |
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Articles in Press |
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2020-06-19 19:01 |
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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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2020-07-09 06:14 |
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Publish the Manuscript Online |
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2020-07-10 05:53 |
ISSN |
2644-3260 (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 |
Artificial intelligence in pancreatic disease
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Manuscript Source |
Invited Manuscript |
All Author List |
Bang-Bin Chen |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Ministry of Science and Technology (Taiwan) |
107-2314-B-002-102-MY3 |
Ministry of Science and Technology (Taiwan) |
104-2314-B-002-080-MY3 |
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Corresponding Author |
Bang-Bin Chen, MD, Associate Professor, Department of Medical Imaging, National Taiwan University College of Medicine and Hospital, No. 7 Chung-Shan South Rd, Taipei 10016, Taiwan. bangbin@gmail.com |
Key Words |
Artificial intelligence; Machine learning; Deep learning; Radiomics; Texture analysis; Pancreas |
Core Tip |
The integration of radiomics, clinical data, and advanced machine-learning methodologies will improve diagnostic, prognostic, and predictive accuracy in patients with pancreatic disease, and facilitate clinical decision and management towards precision medicine. |
Publish Date |
2020-07-10 05:53 |
Citation |
Chen BB. Artificial intelligence in pancreatic disease. Artif Intell Med Imaging 2020; 1(1): 19-30 |
URL |
https://www.wjgnet.com/2644-3260/full/v1/i1/19.htm |
DOI |
https://dx.doi.org/10.35711/aimi.v1.i1.19 |
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