Application and Prospects of Deep Learning Technology in Fracture Diagnosis

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-grow...

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Bibliographic Details
Published in:Current medical science 2024-12, Vol.44 (6), p.1132-1140
Main Authors: 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
Format: Article
Language:English
Subjects:
Artificial Intelligence in Medicine
Deep Learning
Fractures, Bone - diagnostic imaging
Humans
Image Processing, Computer-Assisted - methods
Medicine
Medicine & Public Health
Review
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Summary: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.
ISSN:2096-5230
2523-899X
2523-899X
DOI:10.1007/s11596-024-2928-5