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Articles Published Processes
6/3/2026 7:29:03 AM | Browse: 0 | Download: 0
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Received |
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2026-02-24 07:13 |
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Peer-Review Started |
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2026-02-24 07:13 |
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First Decision by Editorial Office Director |
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2026-02-27 08:50 |
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Return for Revision |
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2026-02-27 08:50 |
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Revised |
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2026-03-06 10:15 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-04-02 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-02 05:57 |
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Articles in Press |
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2026-04-02 05:57 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-04-13 06:15 |
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Publish the Manuscript Online |
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2026-06-03 07:29 |
| 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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Orthopedics |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Anirudh Dwajan, Deepak Ranjan Patro, Amber Agarwal and Mary Lalhmingmawii |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Anirudh Dwajan, MD, Department of Orthopaedics, All India Institute of Medical Sciences-Bilaspur, Kothipura, Bilaspur 174001, Himāchal Pradesh, India. anirudhdwajan@gmail.com |
| Key Words |
Artificial intelligence; Orthopaedics; Machine learning; Deep learning; Clinical decision support systems; Medical imaging; Surgical planning; Predictive analytics; Precision medicine; Musculoskeletal disorders |
| Core Tip |
Artificial intelligence is rapidly advancing orthopaedic care by improving diagnostic accuracy, surgical planning, risk prediction, and personalised rehabilitation through integration of imaging, clinical, and biomechanical data. Emerging technologies such as decision support systems, robotics, and predictive modelling are enhancing precision and efficiency across subspecialties. Despite promising clinical performance, challenges including dataset bias, limited external validation, regulatory uncertainty, and data privacy concerns must be addressed. Artificial intelligence is best viewed as a clinical adjunct that augments surgeon judgement and supports the transition toward data-driven, precision musculoskeletal medicine. |
| Publish Date |
2026-06-03 07:29 |
| Citation |
Dwajan A, Patro DR, Agarwal A, Lalhmingmawii M. Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction. World J Clin Cases 2026; 14(17): 120192
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| URL |
https://www.wjgnet.com/2307-8960/full/v14/i17/120192.htm |
| DOI |
https://doi.org/10.12998/wjcc.v14.i17.120192 |
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