解放军医学杂志2025，Vol.50Issue(10)：1256-1262,7.DOI:10.11855/j.issn.0577-7402.1106.2025.0121
深度学习技术在退行性脊髓型颈椎病中的应用研究进展
Progress of the application of deep learning in degenerative cervical myelopathy
摘要
Abstract
Degenerative cervical myelopathy(DCM)is a group of diseases caused by cervical spine degeneration that compresses the spinal cord.It is a major cause of spinal cord dysfunction in adults,and its incidence is increasing globally.In the late stage,DCM could lead to paralysis due to spinal cord injury,which makes rapid,effective,and accurate medical diagnosis clinically significant.Deep learning(DL)technology can assist physicians in the rapid and accurate diagnosis of DCM by analyzing and processing a large amount of imaging data to extract features of the affected regions.In recent years,DL algorithm models have been leveraged for DCM-related research,which has become a focal point of intelligent medical development.In this review,domestic and international literature is surveyed,and the research progress and application of DL technology in the auxiliary diagnosis and prognosis evaluation of DCM are systematically summarized,aiming to provide a reference for intelligent diagnosis in clinical practice.关键词
深度学习/退行性脊髓型颈椎病/人工智能/神经网络Key words
deep learning/degenerative cervical myelopathy/artificial intelligence/neural networks分类
临床医学引用本文复制引用
宋乾波,杜迁,曾彦,陆远铭,廖文星,赵东,曹广如..深度学习技术在退行性脊髓型颈椎病中的应用研究进展[J].解放军医学杂志,2025,50(10):1256-1262,7.基金项目
This work was supported by the Guizhou Province Fducation Institution Teachin g Content and Curriculum Reform Project(SJJG2022-02-182)贵州省高等学校教学内容和课程体系改革项目(SJJG2022-02-182) （SJJG2022-02-182）
