In the diagnosis and treatment of orthopedic diseases, medical imaging plays a crucial role. However, as traditional imaging relies heavily on the personal experience and subjective judgment of clinicians, it may lead to diagnostic bias. In recent years, artificial intelligence (AI) technology has developed rapidly in the field of medical imaging, offering new opportunities for orthopedic surgeons to interpret imaging results. Deep learning, the essence of AI technology, can automatically extract characteristic images from vast amounts of X-ray films, CT scans, MRIs, and other imaging data, for intelligent analysis. This enables early diagnosis and accurate identification of diseases such as occult fractures, bone tumors, and degenerative lesions, significantly improving the rate and accuracy of disease detection. This article reviews the application of AI technology in X-ray film, CT plain scan and 3D reconstruction, MRI, and ultrasound 3D reconstruction in imaging examination based on the latest research progress. In addition, the potential values of AI technology in orthopedic imaging diagnosis and prediction are explored, and the "bottleneck" problems in AI technology are also analyzed in the diagnosis of orthopedic diseases.

In the diagnosis and treatment of orthopedic diseases, medical imaging plays a crucial role. However, as traditional imaging relies heavily on the personal experience and subjective judgment of clinicians, it may lead to diagnostic bias. In recent years, artificial intelligence (AI) technology has developed rapidly in the field of medical imaging, offering new opportunities for orthopedic surgeons to interpret imaging results. Deep learning, the essence of AI technology, can automatically extract characteristic images from vast amounts of X-ray films, CT scans, MRIs, and other imaging data, for intelligent analysis. This enables early diagnosis and accurate identification of diseases such as occult fractures, bone tumors, and degenerative lesions, significantly improving the rate and accuracy of disease detection. This article reviews the application of AI technology in X-ray film, CT plain scan and 3D reconstruction, MRI, and ultrasound 3D reconstruction in imaging examination based on the latest research progress. In addition, the potential values of AI technology in orthopedic imaging diagnosis and prediction are explored, and the "bottleneck" problems in AI technology are also analyzed in the diagnosis of orthopedic diseases.