Zhang Jingyi1, Wang Youzhi1, Li Jun2
1The Second Clinical Medical College, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, 712046, China
2Rheumatology and Immune Joint Surgery, Hong Hui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, 710000, China
Deep learning provides favorable conditions for the application of artificial intelligence in the medical field, which has been widely used in medical images and has great application potential in the diagnosis and treatment of lower limb joint diseases. Deep learning techniques used to train and analyze images of the lower limb joints can be used in the clinical auxiliary diagnosis and offer a fresh approach to the study of joint diseases. For many tasks involving imaging of joint diseases, significant results have currently been attained. This paper reviews the development history of deep learning, describes the application progress of deep learning in lower limb joint images, expounds on the existing problems in the application of deep learning in the diagnosis and treatment of lower limb joint diseases, and looks forward to the future development direction.
Artificial Intelligence, Deep Learning, Convolutional Neural Network, Fracture, Osteoarthritis, Joint Replacement
Zhang Jingyi, Wang Youzhi, Li Jun. Application of Deep Learning in Lower Limb Joint Images. Academic Journal of Medicine & Health Sciences (2023) Vol. 4, Issue 1: 13-18. https://doi.org/10.25236/AJMHS.2023.040103.
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