A survey of artificial intelligence in rheumatoid arthritis.
artificial intelligence
disease management
early diagnosis
early intervention
rheumatoid arthritis
Journal
Rheumatology and immunology research
ISSN: 2719-4523
Titre abrégé: Rheumatol Immunol Res
Pays: Germany
ID NLM: 9918419176206676
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
13
04
2023
accepted:
14
06
2023
medline:
24
7
2023
pubmed:
24
7
2023
entrez:
24
7
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37485476
doi: 10.2478/rir-2023-0011
pii: rir-2023-0011
pmc: PMC10362600
doi:
Types de publication
Journal Article
Langues
eng
Pagination
69-77Informations de copyright
© 2023 Jiaqi Wang, Yu Tian, Tianshu Zhou, Danyang Tong, Jing Ma, Jingsong Li, published by De Gruyter on behalf of the SMP.
Déclaration de conflit d'intérêts
Conflict of Interest The authors declare no conflict of interest.
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