基于多模态影像的人工智能在骨质疏松性骨折预测中的应用进展
杨祯
秦健
271000 泰安,山东第一医科大学第二附属医院医学影像科
摘要：Osteoporosis(OP)is a systemic skeletal disease characterized by reduced bone density and deteriorated bone quality.Its most severe complication,osteoporotic fractures(OPF),is a major cause of morbidity and mortality among the elderly.In recent years,artificial intelligence(AI)has demonstrated significant advantages in the assessment of skeletal health.Research on fracture risk prediction based on existing imaging techniques and clinical data has further explored and optimized the application of AI in predicting OPF,which is expected to improve patients'prognosis and quality of life and better serve clinical practice.This article reviews the application progress of AI based on multimodal imaging in osteoporotic fractures,providing new insights for the prediction of osteoporotic fractures.
关键词：骨质疏松骨折骨质疏松性骨折人工智能综述
分类号：R683(骨科学（运动系疾病、矫形外科学）)
资助基金：山东省医药卫生科研重点项目(202409010744)泰安市科技创新发展项目(2023NS373)
论文发表日期：2026-02-19
在线出版日期：2026-03-09（本平台首次上网日期，不代表文献的发表时间）
页数：5( 188-192 )
英文信息