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人工智能在骨质疏松症及骨折风险评估中的研究进展

余卫

中华骨质疏松和骨矿盐疾病杂志2024,Vol.17Issue(1):1-16,16.
中华骨质疏松和骨矿盐疾病杂志2024,Vol.17Issue(1):1-16,16.DOI:10.3969/j.issn.1674-2591.2024.01.001

人工智能在骨质疏松症及骨折风险评估中的研究进展

Developing artificial intelligence for management of osteoporosis and fractures

余卫1

作者信息

  • 1. 100730 北京,中国医学科学院 北京协和医学院 北京协和医院放射科
  • 折叠

摘要

Abstract

Artificial intelligence(AI)is a potentially reliable assistant in the management of osteoporosis and fractures.Increasing efforts have been undertaken in the past few years by artificial intelligence developers to identify osteoporosis and osteoporotic fractures.The performance of these newly developed AI algorithms have been shown to be at least comparable to that of medical experts,or even superior.Machine learning,deep learning models and radiomics have applicated in osteoporosis and fractures.To enhance awareness and care for artificial intelligence,this article provided the update evidence and references on different areas for supporting and improving the manage-ment of osteoporosis.

关键词

骨质疏松/骨折/人工智能/机器学习/深度学习/影像组学

Key words

osteoporosis/fracture/artificial intelligence/machine learning/deep learning/radiomics

分类

医药卫生

引用本文复制引用

余卫..人工智能在骨质疏松症及骨折风险评估中的研究进展[J].中华骨质疏松和骨矿盐疾病杂志,2024,17(1):1-16,16.

中华骨质疏松和骨矿盐疾病杂志

OA北大核心CSTPCD

1674-2591

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