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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38097
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dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorHeydari, Kimiaen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2026-05-30T00:15:21Z-
dc.date.available2026-05-30T00:15:21Z-
dc.date.issued2025-03-22en_UK
dc.identifier.other176en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38097-
dc.description.abstractWearable artificial intelligence (AI) technologies show promise in healthcare, with early applications demonstrating diverse benefits for patient safety. These systems go beyond traditional data collection, using advanced algorithms to provide real-time clinical guidance. From infectious disease monitoring to AI-powered surgical assistance, these technologies enable proactive, personalized care while addressing critical safety gaps. However, successful implementation requires careful consideration of technical, operational, and ethical challenges.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMahajan A, Heydari K & Powell D (2025) Wearable AI to enhance patient safety and clinical decision-making. <i>npj Digital Medicine</i>, 8, Art. No.: 176. https://doi.org/10.1038/s41746-025-01554-wen_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleWearable AI to enhance patient safety and clinical decision-makingen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-025-01554-wen_UK
dc.identifier.pmid40121336en_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.date22/03/2025en_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.isiWOS:001468348700003en_UK
dc.identifier.scopusid105000521967en_UK
dc.identifier.wtid2232749en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2025-03-04en_UK
dcterms.dateAccepted2025-03-04en_UK
dc.date.filedepositdate2026-02-24en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMahajan, Arjun|en_UK
local.rioxx.authorHeydari, Kimia|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.freetoreaddate2026-02-24en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-02-24|en_UK
local.rioxx.filenames41746-025-01554-w.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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