Publication Name	World Journal of Orthopedics
Manuscript ID	107064
Country	China

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
Manuscript Source	Unsolicited Manuscript
All Author List	Aqil M Jawed, Lei Zhang, Zhang Zhang, Qi Liu, Waqas Ahmed and Huan Wang
Funding Agency and Grant Number
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.
Citation	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. World J Orthop 2025; In press

Received	2025-03-14 07:54
Peer-Review Started	2025-03-14 07:55
To Make the First Decision
Return for Revision	2025-04-15 06:24
Revised	2025-05-02 19:35
Second Decision	2025-07-03 02:44
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-07-03 06:34
Articles in Press	2025-07-03 06:34
Publication Fee Transferred	2025-05-16 03:21
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2218-5836 (online)
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