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Articles Published Processes
1/11/2024 5:28:09 AM | Browse: 150 | Download: 374
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Received |
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2023-11-07 14:00 |
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Peer-Review Started |
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2023-11-07 14:02 |
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To Make the First Decision |
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Return for Revision |
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2023-12-05 03:18 |
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Revised |
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2023-12-06 10:11 |
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Second Decision |
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2023-12-21 02:38 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-12-21 06:26 |
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Articles in Press |
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2023-12-21 06:26 |
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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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2024-01-04 01:23 |
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Publish the Manuscript Online |
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2024-01-11 05:28 |
ISSN |
2307-8960 (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) 2023. 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 |
Medicine, General & Internal |
Manuscript Type |
Editorial |
Article Title |
Use of artificial intelligence in the field of pain medicine
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Manuscript Source |
Invited Manuscript |
All Author List |
Min Cheol Chang |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
National Research Foundation of Korea Grant |
00219725 |
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Corresponding Author |
Min Cheol Chang, MD, Professor, Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, 317-1, Daemyungdong, Namku, Daegu 705-717, South Korea. wheel633@gmail.com |
Key Words |
Artificial intelligence; Pain medicine; Diagnosis; Prediction; Image |
Core Tip |
Artificial intelligence (AI) technology is revolutionizing the field of pain medicine by facilitating accurate diagnosis, ensuring precise interpretation of medical images, and predicting treatment outcome. AI algorithms assist clinicians in selecting appropriate diagnostic tests, analyzing complex imaging data, and personalizing treatment plans, thereby enhancing overall patient care. For efficient utilization of AI in the pain medicine field, it is crucial to enhance the accuracy of AI decision-making by using more medical data, while issues related to the protection of patient personal information and responsibility for AI decisions will have to be addressed. In the future, AI technology is expected to be innovatively applied in the field of pain medicine. |
Publish Date |
2024-01-11 05:28 |
Citation |
<p>Chang MC. Use of artificial intelligence in the field of pain medicine. <i>World J Clin Cases</i> 2024; In press</p> |
URL |
https://www.wjgnet.com/2307-8960/full/v12/i2/236.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v12.i2.236 |
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