Zhang Jia-Yao, Yang Jia-Ming, Wang Xin-Meng, Wang Hong-Lin, Zhou Hong, Yan Zi-Neng, Xie Yi, Liu Peng-Ran, Hao Zhi-Wei, Ye Zhe-Wei
Department of Orthopedics, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350013, China.
Department of Orthopedics, Fujian Provincial Hospital, Fuzhou, 350013, China.
Curr Med Sci. 2024 Dec;44(6):1132-1140. doi: 10.1007/s11596-024-2928-5. Epub 2024 Nov 18.
Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks. Moreover, with advancements in digital imaging technology, DL has become a key tool for processing high-dimensional medical image data and conducting medical image analysis in clinical applications. With the development of this technology, the diagnosis of orthopedic diseases has undergone significant changes. In this review, we describe recent research progress on DL in fracture diagnosis and discuss the value of DL in this field, providing a reference for better integration and development of DL technology in orthopedics.
人工智能(AI)是一个跨学科领域,它融合了计算机技术、数学和其他几个领域。近年来,随着机器学习(ML)和深度学习(DL)的迅速发展,人工智能领域取得了重大进展。作为发展最快的分支之一,深度学习可以有效地从大数据中提取特征,并优化各种任务的性能。此外,随着数字成像技术的进步,深度学习已成为处理高维医学图像数据和在临床应用中进行医学图像分析的关键工具。随着这项技术的发展,骨科疾病的诊断发生了重大变化。在这篇综述中,我们描述了深度学习在骨折诊断方面的最新研究进展,并讨论了深度学习在该领域的价值,为深度学习技术在骨科的更好整合与发展提供参考。