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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38053
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dc.contributor.authorMenon, Tara Pen_UK
dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2026-05-22T00:09:02Z-
dc.date.available2026-05-22T00:09:02Z-
dc.date.issued2026-03-26en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38053-
dc.description.abstractAtrial fibrillation (AF) affects over 50 million people worldwide and carries substantial downstream morbidity, mortality, and cost. Yet many contemporary screening programs rely primarily on age thresholds—an approach that is operationally simple but can be imprecise for identifying near-term risk. AI applied to handheld single-lead ECGs can predict incident AF with accuracy similar to established clinical risk scores, but real-world deployment remains limited by signal noise, workflow complexity, and unclear risk thresholds.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMenon TP, Mahajan A & Powell D (2026) Reimagining atrial fibrillation screening beyond age-based thresholds using AI. <i>npj Digital Medicine</i>. https://doi.org/10.1038/s41746-026-02485-wen_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.titleReimagining atrial fibrillation screening beyond age-based thresholds using AIen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-026-02485-wen_UK
dc.identifier.pmid41888221en_UK
dc.citation.jtitlenpj Digital Medicineen_UK
dc.citation.issn2398-6352en_UK
dc.citation.issn2398-6352en_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildylan.powell@stir.ac.uken_UK
dc.citation.date26/03/2026en_UK
dc.contributor.affiliationVirginia Polytechnic Institute And State Universityen_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.wtid2250697en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2026-02-14en_UK
dcterms.dateAccepted2026-02-14en_UK
dc.date.filedepositdate2026-04-21en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMenon, Tara P|en_UK
local.rioxx.authorMahajan, Arjun|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.freetoreaddate2026-04-21en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2026-04-21|en_UK
local.rioxx.filenames41746-026-02485-w_reference.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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