Application of artificial intelligence technology in the diagnosis and treatment of thoracolumbar trauma: a review
10.3760/cma.j.cn501098-20250103-00005
- VernacularTitle:人工智能技术在胸腰椎创伤诊疗及术后管理中应用的研究进展
- Author:
Yukuan LEI
1
;
Yuan LIU
;
Shuai LI
;
Shenglong GAO
;
Xinnan CHENG
;
Baorong HE
;
Lei ZHU
;
Sibo WANG
Author Information
1. 延安大学医学院，延安 716099
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Spinal injuries;
Thoracic vertebrae;
Lumbar vertebrae;
Rehabilitation
- From:
Chinese Journal of Trauma
2025;41(6):605-612
- CountryChina
- Language:Chinese
-
Abstract:
Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.
