摘要
中轴型脊柱关节炎是一种慢性炎症性疾病,早期诊断和治疗对改善患者预后至关重要。传统的诊疗方法在应对中轴型脊柱关节炎的复杂性和异质性方面存在诸多局限性,其中误诊率高、诊断延迟时间长的问题尤为突出。机器学习技术的引入为中轴型脊柱关节炎的诊疗带来了革命性的突破。本文探讨了机器学习在中轴型脊柱关节炎诊疗中的研究进展和应用潜力,比较了模型应用的优缺点,分析了现有研究的局限性并展望了未来发展方向。
Axial Spondyloarthritis(axSpA),as a chronic inflammatory disease,requires early diagnosis and treatment to improve patient outcomes.Traditional methods have many limitations in addressing the complexity and heterogeneity of axSpA,with particularly prominent issues of high misdiagnosis rates and long diagnostic delays.The introduction of machine learning technology has brought revolutionary breakthroughs in the diagnosis and treatment of axSpA.This review explores research advances and application potential of machine learning in the diagnosis and treatment of axSpA,evaluates the strengths and weaknesses of current models,analyzes the limitations of existing research,and proposes future development directions.
作者
孙磊
冀肖健
雷瑛
宋一敏
李坤鹏
李涛
SUN Lei;JI Xiaojian;LEI Ying;SONG Yimin;LI Kunpeng;LI Tao(Medical Innovation Research Department of PLA General Hospital,Beijing 100853,China;Department of Rheumatology and Immunology,the First Medical Center of PLA General Hospital,Beijing 100853,China;National Engineering Research Center for Medical Big Data Application Technology,Medical Engineering Laboratory of PLA General Hospital,Beijing 100853,China)
出处
《解放军医学院学报》
2025年第3期224-229,238,共7页
Academic Journal of Chinese PLA Medical School
基金
北京市自然科学基金-海淀原始创新联合基金(L242143)
新一代人工智能国家科技重大专项(2021ZD0140409)。
关键词
中轴型脊柱关节炎
机器学习
应用
axial spondyloarthritis
machine learning
application
