Artificial intelligence in rheumatoid arthritis: potential applications and future implications

被引:5
作者
Gilvaz, Vinit J. [1 ]
Reginato, Anthony M. [1 ,2 ]
机构
[1] Brown Univ, Warren Alpert Med Sch, Rhode Isl Hosp, Div Rheumatol,Dept Med, Providence, RI 02912 USA
[2] Brown Univ, Warren Alpert Med Sch, Rhode Isl Hosp, Dept Dermatol, Providence, RI USA
关键词
artificial intelligence; rheumatoid arthritis; machine learning; deep learning; clinical applications; RELIABILITY;
D O I
10.3389/fmed.2023.1280312
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The widespread adoption of digital health records, coupled with the rise of advanced diagnostic testing, has resulted in an explosion of patient data, comparable in scope to genomic datasets. This vast information repository offers significant potential for improving patient outcomes and decision-making, provided one can extract meaningful insights from it. This is where artificial intelligence (AI) tools like machine learning (ML) and deep learning come into play, helping us leverage these enormous datasets to predict outcomes and make informed decisions. AI models can be trained to analyze and interpret patient data, including physician notes, laboratory testing, and imaging, to aid in the management of patients with rheumatic diseases. As one of the most common autoimmune diseases, rheumatoid arthritis (RA) has attracted considerable attention, particularly concerning the evolution of diagnostic techniques and therapeutic interventions. Our aim is to underscore those areas where AI, according to recent research, demonstrates promising potential to enhance the management of patients with RA. Key concepts and definitions.
引用
收藏
页数:7
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