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Articles Published Processes
8/8/2025 9:09:10 AM | Browse: 16 | Download: 64
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Received |
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2025-03-14 07:54 |
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Peer-Review Started |
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2025-03-14 07:55 |
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To Make the First Decision |
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Return for Revision |
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2025-04-15 06:24 |
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Revised |
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2025-05-02 19:35 |
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Second Decision |
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2025-07-03 02:44 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-07-03 06:34 |
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Articles in Press |
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2025-07-03 06:34 |
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Publication Fee Transferred |
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2025-05-16 03:21 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-08-01 06:40 |
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Publish the Manuscript Online |
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2025-08-08 09:09 |
| ISSN |
2218-5836 (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) 2025. 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 |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence and machine learning in spine care: Advancing precision diagnosis, treatment, and rehabilitation
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Aqil M Jawed, Lei Zhang, Zhang Zhang, Qi Liu, Waqas Ahmed and Huan Wang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Huan Wang, PhD, Professor, Department of Orthopaedic Surgery, Shengjing Hospital, China Medical University, No. 36 Sanhao Street, Shenyang 110004, Liaoning Province, China. spinewh@qq.com |
| Key Words |
Spine care; Spine artificial intelligence; Machine learning diagnostics; Precision rehabilitation; Robotics surgery |
| Core Tip |
Artificial intelligence and machine learning are transforming spine care by improving diagnostics, surgical precision, and personalized rehabilitation. These technologies enable early risk assessment, accurate implant placement, and adaptive therapies, though challenges like data limitations and ethical concerns remain. Future advancements in multi-modal artificial intelligence systems promise enhanced precision, accessibility, and cost efficiency, revolutionizing patient outcomes in spine care. |
| Publish Date |
2025-08-08 09:09 |
| Citation |
<p>Jawed AM, Zhang L, Zhang Z, Liu Q, Ahmed W, Wang H. Artificial intelligence and machine learning in spine care: Advancing precision diagnosis, treatment, and rehabilitation. <i>World J Orthop</i> 2025; 16(8): 107064</p> |
| URL |
https://www.wjgnet.com/2218-5836/full/v16/i8/107064.htm |
| DOI |
https://dx.doi.org/10.5312/wjo.v16.i8.107064 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
