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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37621
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dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorLaChance, Avery Hen_UK
dc.contributor.authorRodman, Adamen_UK
dc.contributor.authorChung, Lorindaen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2025-12-02T01:05:17Z-
dc.date.available2025-12-02T01:05:17Z-
dc.date.issued2025-10-24en_UK
dc.identifier.other628en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37621-
dc.description.abstractEmerging 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.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMahajan 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/s41746-025-02015-0en_UK
dc.rightsThis 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/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.titleArtificial intelligence for autoimmune diseasesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-025-02015-0en_UK
dc.identifier.pmid41136754en_UK
dc.citation.jtitlenpj Digital Medicineen_UK
dc.citation.issn2398-6352en_UK
dc.citation.issn2398-6352en_UK
dc.citation.volume8en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildylan.powell@stir.ac.uken_UK
dc.citation.date24/10/2025en_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationStanford Universityen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.isiWOS:001600911300003en_UK
dc.identifier.scopusid105019798816en_UK
dc.identifier.wtid2212786en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2025-09-18en_UK
dcterms.dateAccepted2025-09-18en_UK
dc.date.filedepositdate2025-11-28en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMahajan, Arjun|en_UK
local.rioxx.authorLaChance, Avery H|en_UK
local.rioxx.authorRodman, Adam|en_UK
local.rioxx.authorChung, Lorinda|en_UK
local.rioxx.authorPowell, Dylan|0000-0003-1233-5468en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2025-11-28en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2025-11-28|en_UK
local.rioxx.filenames41746-025-02015-0.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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