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Articles Published Processes
4/27/2021 7:16:02 AM | Browse: 636 | Download: 928
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Received |
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2021-03-22 02:38 |
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Peer-Review Started |
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2021-03-22 02:41 |
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To Make the First Decision |
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Return for Revision |
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2021-03-26 03:27 |
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Revised |
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2021-04-01 14:12 |
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Second Decision |
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2021-04-19 08:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-04-20 04:59 |
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Articles in Press |
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2021-04-20 04:59 |
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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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2021-04-26 10:16 |
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Publish the Manuscript Online |
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2021-04-27 07:16 |
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) 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 |
Oncology |
Manuscript Type |
Minireviews |
Article Title |
Current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy
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Manuscript Source |
Invited Manuscript |
All Author List |
Wing-Yan Ip, Fu-Ki Yeung, Shang-Peng Felix Yung, Hong-Cheung Jeffrey Yu, Tsz-Him So and Varut Vardhanabhuti |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Varut Vardhanabhuti, BSc, MBBS, PhD, Assistant Professor, Department of Diagnostic Radiation, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Room 406, Block K, Pok Fu Lam Road, Hong Kong 852, China. varv@hku.hk |
Key Words |
Artificial intelligence; Medical physics; Radiotherapy; Image acquisition; Image segmentation; Treatment planning; Treatment delivery; Quality assurance |
Core Tip |
Artificial intelligence (AI) applications in medical physics and radiotherapy represent an important emerging area in AI applications in medicine. The most notable improvements for the many aspects of radiotherapy are the ability to provide an accurate result with consistency and eliminate inter-and intra-observer variations. Perspectives from physicians and medical physicists about the use of AI are presented, and suggestions of how human can co-exist with AI are made to better equip us for the future. |
Publish Date |
2021-04-27 07:16 |
Citation |
Ip WY, Yeung FK, Yung SPF, Yu HCJ, So TH, Vardhanabhuti V. Current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy. Artif Intell Med Imaging 2021; 2(2): 37-55 |
URL |
https://www.wjgnet.com/2644-3260/full/v2/i2/37.htm |
DOI |
https://dx.doi.org/10.35711/aimi.v2.i2.37 |
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