Jia-Yao Zhang, Jia-Ming Yang, Xin-Meng Wang, Hong-Lin Wang, Hong Zhou, Zi-Neng Yan, Yi Xie, Peng-Ran Liu, Zhi-Wei Hao, Zhe-Wei Ye
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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-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.
期刊介绍:
Current Medical Science provides a forum for peer-reviewed papers in the medical sciences, to promote academic exchange between Chinese researchers and doctors and their foreign counterparts. The journal covers the subjects of biomedicine such as physiology, biochemistry, molecular biology, pharmacology, pathology and pathophysiology, etc., and clinical research, such as surgery, internal medicine, obstetrics and gynecology, pediatrics and otorhinolaryngology etc. The articles appearing in Current Medical Science are mainly in English, with a very small number of its papers in German, to pay tribute to its German founder. This journal is the only medical periodical in Western languages sponsored by an educational institution located in the central part of China.