[Applications and prospects of artificial intelligence in cervical spine surgery]

Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine diseases, encompassing areas such as image analysis, assisted diagnosis, clinical treatment decision support, surgical assistance, and postoperative rehabilitation, thereby demonstrating significant clinical value. However, many existing studies primarily focus on evaluating model performance and often lack clear indicators of clinical utility. Additionally, these studies face challenges such as heterogeneity in research design and reporting, low transparency of algorithms and dataset quality. As AI continues to advance rapidly, future efforts should prioritize the establishment of standardized databases, the enhancement of algorithm reliability, the minimization of data bias, and the achievement of comprehensive AI assistant management throughout the cervical spine surgery process.