A survey of artificial intelligence in rheumatoid arthritis

作者：Jiaqi Wang, Yu Tian, Tianshu Zhou, Danyang Tong, Jing Ma, Jingsong Li · 发表于：Rheumatology and Immunology Research · 年份：2023 · DOI：10.2478/rir-2023-0011 · 被引用次数：23 · 研究领域：Rheumatoid Arthritis Research and Therapies、Biosimilars and Bioanalytical Methods、Chronic Lymphocytic Leukemia Research

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.