A survey of artificial intelligence in rheumatoid arthritis

被引:7
作者
Wang, Jiaqi [1 ]
Tian, Yu [2 ]
Zhou, Tianshu [1 ]
Tong, Danyang [1 ]
Ma, Jing [1 ]
Li, Jingsong [1 ,2 ]
机构
[1] Res Ctr Healthcare Data Sci, Zhejiang Lab, Hangzhou 311121, Zhejiang, Peoples R China
[2] Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Engn Res Ctr EMR & Intelligent Expert Syst, Key Lab Biomed Engn,Minist Educ, Hangzhou 310027, Zhejiang, Peoples R China
来源
RHEUMATOLOGY AND IMMUNOLOGY RESEARCH | 2023年 / 4卷 / 02期
基金
中国国家自然科学基金;
关键词
rheumatoid arthritis; artificial intelligence; early diagnosis; early intervention; disease management; LEARNING APPROACH; DIAGNOSIS;
D O I
10.2478/rir-2023-0011
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The article offers a survey of currently notable artificial intelligence methods (released between 2019-2023), with a particular emphasis on the latest advancements in detecting rheumatoid arthritis (RA) at an early stage, providing early treatment, and managing the disease. We discussed challenges in these areas followed by specific artificial intelligence (AI) techniques and summarized advances, relevant strengths, and obstacles. Overall, the application of AI in the fields of RA has the potential to enable healthcare professionals to detect RA at an earlier stage, thereby facilitating timely intervention and better disease management. However, more research is required to confirm the precision and dependability of AI in RA, and several problems such as technological and ethical concerns related to these approaches must be resolved before their widespread adoption.
引用
收藏
页码:69 / 77
页数:9
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