人工智能在类风湿性关节炎影像评估中的研究进展
Research progress of artificial intelligence in imaging evaluation of rheumatoid arthritis
李生虎 1王莉莉2
作者信息
- 1. 无锡市中医医院放射科,无锡 214000
- 2. 甘肃省人民医院放射科,兰州 730000
- 折叠
摘要
类风湿关节炎(rheumatoid arthritis,RA)是一种常见的自身免疫性疾病,严重影响患者的生活质量.影像评估在类风湿关节炎的诊断、治疗和预后中发挥着重要作用.近年来,人工智能尤其是深度学习技术的迅速发展,为类风湿关节炎的影像评估带来了新突破.本文首先阐述人工智能的相关概念,随后主要基于人工智能在X光、CT、MRI和其他成像模式中的应用,对骨骼病变、滑膜病变、软骨病变等进行综述,最后总结出目前人工智能及其在RA应用中存在的问题,并对前景进行展望.
Abstract
Rheumatoid arthritis is a common autoimmune disease,which seriously affects the quality of life of patients. Imaging evaluation plays an important role in the diagnosis,treatment and prognosis of rheumatoid arthritis. In recent years,the rapid development of artificial intelligence,especially deep learning technology,has brought new breakthroughs to the image evaluation of rheumatoid arthritis. This paper first expounds the related concepts of artificial intelligence,then mainly based on the application of artificial intelligence in X-ray,CT,MRI and other imaging modalities,summarizes the bone lesions,synovial lesions and cartilage lesions,etc. Finally,puts forward the disadvantages of artificial intelligence at present,and prospects the application prospect of artificial intelligence in RA.
关键词
类风湿关节炎/医学影像/人工智能/机器学习/深度学习/磁共振成像Key words
rheumatoid arthritis/medical imaging/artificial intelligence/machine learning/deep learning/magnetic resonance imaging引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据