【摘要】 随着全球人口老龄化的加剧，越来越多人群被诊断为骨质疏松症，其特点是骨密度降低和骨微结构退化，从而导致骨折风险显著增加，进一步增加患者的精神和经济负担。而机会性筛查可在不增加患者经济、辐射负担下定量监测骨质变化情况，近来受到越来越多的关注。人工智能技术在医学影像诊断领域的应用发展迅速，特别是对骨质疏松症患者的早期、特异性诊断和后续风险评估具有重要的作用。基于此，本文对近年来人工智能在骨质疏松症患者机会性CT筛查中的研究进展进行综述。

    【关键词】 人工智能 骨质疏松症 机会性筛查 计算机断层扫描

    Research Progress in Artificial Intelligence for Opportunistic CT Scanning for Osteoporosis/LIAO Ruikun， XIONG Hua. //Medical Innovation of China， 2025， 22(04)： -184

    [Abstract] As the global population ages， more and more people are being diagnosed with osteoporosis(OP)， which is characterized by decreased bone mineral density and bone micro-architectural deterioration， leading to a significant increase in fracture risk and further increasing the mental and economic burden on patients. Opportunistic screening， which allows quantitative monitoring of bone quality changes without increasing the economic and radiological burden on patients， has recently received increasing attention. The application of artificial intelligence technology in the field of medical imaging diagnosis is developing rapidly， especially for the early ......