摘要/Abstract

摘要： 骨肌系统疾病种类繁多，影像学检查是疾病诊断的首要手段。合理选择图像后处理方法，可为疾病的诊断、手术治疗以及预后等提供可靠的评估依据。人工智能技术作为计算机科学发展的新阶段，能够高效、精准地对影像学图像进行预处理和分析，辅助医师诊断和治疗工作，将为骨肌系统影像学领域的发展带来新的机遇。该文就人工智能在骨肌系统疾病的影像诊断方面的应用现状和挑战展开综述，以期为开展相关研究的****提供一定的参考。
关键词: 骨肌系统, 影像诊断, 人工智能, 深度学习
Abstract:
Musculoskeletal diseases are diverse. Medical imaging examination is the primary means of disease diagnosis. Reasonable selection of image post-processing methods can provide reliable evaluation basis for disease diagnosis, surgery and prognosis. As a new stage of the development of computer science, artificial intelligence technology can efficiently and accurately preprocess and analyze images, and assist clinicians in diagnosis and treatment. It will bring new opportunities for the development of musculoskeletal imaging. This paper reviews the current situation and challenges of artificial intelligence in the field of imaging diagnosis of musculoskeletal system diseases, in order to provide some reference for the relevant research scholars.
Key words: musculoskeletal system, imaging diagnosis, artificial intelligence, deep-learning


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