Artificial intelligence for autoimmune diseases

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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Publication Details

Journal
npj Digital Medicine
Published
2025-10-24
DOI
https://doi.org/10.1038/s41746-025-02015-0
Citations
1
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
1.16
Controls
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article

Artificial intelligence for autoimmune diseases

Leland W.K. Chung, Dylan Powell, Avery LaChance, Adam Rodman et al.
1 citations
npj Digital Medicine
Clinical Laboratory Practices and Quality Control
1.16
article

Artificial intelligence for autoimmune diseases

Leland W.K. Chung, Dylan Powell, Avery LaChance, Adam Rodman, Arjun Mahajan
article en
1 citations

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.

npj Digital MedicineVol. 8(1)
University of Stirling (GB), Brigham and Women's Hospital (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), Stanford University (US)
Openalex Percentile: Top 17%
Clinical Laboratory Practices and Quality Control
1.16
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Artificial intelligence for autoimmune diseases — Leland W.K. Chung, Dylan Powell, et al. · npj Digital Medicine (2025) | TGRS Research Map | TGRS