Application of artificial intelligence in the diagnosis and treatment of spinal fracture and rehabilitation of spinal cord injury: a review
10.3760/cma.j.cn501098-20250305-00120
- VernacularTitle:人工智能在脊柱骨折诊治与脊髓损伤康复中应用的研究进展
- Author:
Haomin WANG
1
;
Haifeng LIU
1
;
Yibo ZHAO
1
;
Wenxuan WANG
1
;
Ningning XUE
1
;
Bin ZHAO
1
Author Information
1. 山西医科大学第二医院骨科，太原 030001
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Spinal fractures;
Spinal cord injuries;
Surgical procedures, operative
- From:
Chinese Journal of Trauma
2025;41(9):912-917
- CountryChina
- Language:Chinese
-
Abstract:
Spinal trauma, primarily caused by high-energy external forces, predominantly manifest as vertebral fracture and spinal cord injury. These conditions are characterized by spinal pain, restricted mobility, and sensory and autonomic dysfunction, significantly compromising patients′ quality of life and life expectancy. Current diagnostic and therapeutic practices for spinal fracture remain susceptible to subjective clinical experience, resulting in misdiagnosis, underdiagnosis, and imprecise surgical execution. Similarly, the therapeutic efficacy of spinal cord injury rehabilitation is frequently limited by a lack of personalized treatment protocols. The growing integration of artificial intelligence (AI) in medicine presents novel opportunities to overcome these obstacles. By excelling in image interpretation, data analytics, clinical decision support, and personalized rehabilitation planning, AI has emerged as a prominent focus of modern research. To this end, the authors reviewed the research progress in the application of AI in the diagnosis and treatment of spinal fracture and rehabilitation of spinal cord injury, providing a reference for AI-assisted precision diagnosis and treatment of vertebral fracture and rehabilitation of spinal cord injury.
