解放军医学院学报2025，Vol.46Issue(3)：224-229,238,7.DOI:10.12435/j.issn.2095-5227.25022401
从数据到决策:探索机器学习在中轴型脊柱关节炎诊疗中的应用
From data to decision:Application of machine learning in diagnosis and treatment of axial spondyloarthritis
摘要
Abstract
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.关键词
中轴型脊柱关节炎/机器学习/应用Key words
axial spondyloarthritis/machine learning/application分类
医药卫生引用本文复制引用
孙磊,冀肖健,雷瑛,宋一敏,李坤鹏,李涛..从数据到决策:探索机器学习在中轴型脊柱关节炎诊疗中的应用[J].解放军医学院学报,2025,46(3):224-229,238,7.基金项目
北京市自然科学基金-海淀原始创新联合基金(L242143) （L242143）
新一代人工智能国家科技重大专项(2021ZD0140409) （2021ZD0140409）
