Artificial intelligence and cervical spine image recognition:application prospects and challenges
- VernacularTitle:人工智能与颈椎图像识别:应用前景与挑战
- Author:
Simin WANG
1
;
Dezhou ZHANG
;
Jing ZHAO
;
Chaoqun WANG
;
Kun LI
;
Jie CHEN
;
Xue BAI
;
Hailong ZHAO
;
Shaojie ZHANG
;
Yuan MA
;
Yunteng HAO
;
Yang YANG
;
Zhijun LI
;
Jun SHI
;
Xing WANG
Author Information
- Publication Type:Journal Article
- Keywords: artificial intelligence; artificial intelligence model; deep learning; cervical spine; medical imaging; research advance; clinical application; engineered tissue construction
- From: Chinese Journal of Tissue Engineering Research 2025;29(33):7231-7240
- CountryChina
- Language:Chinese
- Abstract: BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.
