SynthesisFrontiers in medicine2026
Artificial intelligence in rheumatoid arthritis: current applications and future perspectives.
Synthesis in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
9 authors.
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Abstract
Rheumatoid arthritis (RA) is a highly prevalent systemic autoimmune disease characterized by a complex and partially understood pathogenesis. The substantial challenges in early identification and marked therapeutic heterogeneity pose a significant burden on affected patients. Despite notable advancements in diagnostic techniques and therapeutic interventions in recent years, optimal patient care remains hindered by several ongoing clinical challenges. To address these limitations, artificial intelligence (AI) has been increasingly integrated into the field of rheumatology. By leveraging its potent capabilities in large-scale data and medical image processing, AI offers diversified and individualized approaches to RA diagnosis and management. Herein, following a review of the fundamental concepts of RA and AI, we explore the multifaceted applications of AI across RA diagnosis, treatment response prediction,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.