Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37621
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Artificial intelligence for autoimmune diseases
Author(s): Mahajan, Arjun
LaChance, Avery H
Rodman, Adam
Chung, Lorinda
Powell, Dylan
Contact Email: dylan.powell@stir.ac.uk
Issue Date: 24-Oct-2025
Date Deposited: 28-Nov-2025
Citation: Mahajan A, LaChance AH, Rodman A, Chung L & Powell D (2025) Artificial intelligence for autoimmune diseases. <i>npj Digital Medicine</i>, 8, Art. No.: 628. https://doi.org/10.1038/s41746-025-02015-0
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.
DOI Link: 10.1038/s41746-025-02015-0
Rights: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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