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Artificial intelligence for autoimmune diseases
by
Powell, Dylan
, Mahajan, Arjun
, Chung, Lorinda
, LaChance, Avery H.
, Rodman, Adam
in
631/114
/ 631/250
/ 692/4023
/ Accuracy
/ Autoimmune diseases
/ Biomedicine
/ Biotechnology
/ Clinical decision making
/ Collaboration
/ Datasets
/ Disease management
/ Documentation
/ Drug development
/ Generative artificial intelligence
/ Large language models
/ Longitudinal studies
/ Lupus
/ Medicine
/ Medicine & Public Health
/ News & Views
/ news-and-views
/ Rheumatic diseases
/ Rheumatoid arthritis
/ Views
2025
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Artificial intelligence for autoimmune diseases
by
Powell, Dylan
, Mahajan, Arjun
, Chung, Lorinda
, LaChance, Avery H.
, Rodman, Adam
in
631/114
/ 631/250
/ 692/4023
/ Accuracy
/ Autoimmune diseases
/ Biomedicine
/ Biotechnology
/ Clinical decision making
/ Collaboration
/ Datasets
/ Disease management
/ Documentation
/ Drug development
/ Generative artificial intelligence
/ Large language models
/ Longitudinal studies
/ Lupus
/ Medicine
/ Medicine & Public Health
/ News & Views
/ news-and-views
/ Rheumatic diseases
/ Rheumatoid arthritis
/ Views
2025
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Do you wish to request the book?
Artificial intelligence for autoimmune diseases
by
Powell, Dylan
, Mahajan, Arjun
, Chung, Lorinda
, LaChance, Avery H.
, Rodman, Adam
in
631/114
/ 631/250
/ 692/4023
/ Accuracy
/ Autoimmune diseases
/ Biomedicine
/ Biotechnology
/ Clinical decision making
/ Collaboration
/ Datasets
/ Disease management
/ Documentation
/ Drug development
/ Generative artificial intelligence
/ Large language models
/ Longitudinal studies
/ Lupus
/ Medicine
/ Medicine & Public Health
/ News & Views
/ news-and-views
/ Rheumatic diseases
/ Rheumatoid arthritis
/ Views
2025
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Journal Article
Artificial intelligence for autoimmune diseases
2025
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Overview
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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