Abstract
Emerging evidence suggests generative artificial intelligence (AI) may offer potential for autoimmune and rheumatic disease care, moving beyond traditional narrow AI applications to produce contextualized clinical content to support a wide spectrum of medical tasks. This article explores generative AI applications across autoimmune and rheumatologic clinical care, research, and administrative domains. However, significant implementation challenges remain, including clinical validation, model interpretability, data integration complexities, and evolving regulatory frameworks.
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CITATION STYLE
Mahajan, A., LaChance, A. H., Rodman, A., Chung, L., & Powell, D. (2025, December 1). Artificial intelligence for autoimmune diseases. Npj Digital Medicine. Nature Research. https://doi.org/10.1038/s41746-025-02015-0
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