| 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 |
©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 |
Minimally invasive spine surgery with endoscopy, navigation, robotics, and artificial intelligence: Clinical evidence and future directions
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Dong Li, Xiao-Dong Tang, Zhi-Peng Li, Wei-Ping Fu, Peng-Yu Lu, Zhen Shi, Qi Zhang, Sen Fang, Bo-Kang Lv, Wen-Jie Ruan, Chang-Jiang Zhang and Rui-Bo Wang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Henan Provincial Key Research and Development Program |
231111311000 |
| Henan Provincial Higher Education Institutions Key Research Project |
26A320038 |
| Henan Provincial Medical Science and Technology Key Project |
LHGJ20250403, LHGJ20220566, LHGJ20240365 |
| Henan Provincial Medical Education Research Project |
WJLX2023079 |
|
| Corresponding Author |
Rui-Bo Wang, Associate Chief Physician, MD, Second Department of Orthopedics, The Fifth Affiliated Hospital of Zhengzhou University, No. 3 Kangfu Qian Street, Erqi District, Zhengzhou 450052, Henan Province, China. 18336397518@163.com |
| Key Words |
Artificial intelligence; Biomaterials; Clinical outcomes; Endoscopic techniques; Image-guided navigation; Individualized treatment; Minimally invasive decompression; Minimally invasive spine surgery; Robot-assisted surgery |
| Core Tip |
Minimally invasive spine surgery uses navigation, endoscopy, and robotics to minimize soft-tissue damage, enhance precision, and improve safety, achieving clear benefits in degenerative disc disease, spinal stenosis, deformity, and related disorders. Compared with open surgery, minimally invasive spine surgery offers less trauma, quicker recovery, and particular advantages for older or comorbid patients. Yet its broader adoption is limited by a steep learning curve, radiation exposure, and evolving indications. Future priorities include artificial intelligence, individualized medicine, novel biomaterials, and strengthened training and standardized clinical research. |
| Publish Date |
2026-06-17 06:55 |
| Citation |
Li D, Tang XD, Li ZP, Fu WP, Lu PY, Shi Z, Zhang Q, Fang S, Lv BK, Ruan WJ, Zhang CJ, Wang RB. Minimally invasive spine surgery with endoscopy, navigation, robotics, and artificial intelligence: Clinical evidence and future directions. World J Orthop 2026; 17(6): 119119
|
| URL |
https://www.wjgnet.com/2218-5836/full/v17/i6/119119.htm |
| DOI |
https://doi.org/10.5312/wjo.v17.i6.119119 |
