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A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study) : a qualitative study using the WHO guide

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dc.contributor.authorNewlands, Rumana
dc.contributor.authorBruhn, Hanne
dc.contributor.authorRzewuska Diaz, Magdalena
dc.contributor.authorLip, Gerald
dc.contributor.authorAnderson, Lesley
dc.contributor.authorRamsay, Craig
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Evaluationen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Cancer Centreen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.date.accessioned2024-05-03T11:19:09Z
dc.date.available2024-05-03T11:19:09Z
dc.date.issued2024-05-02
dc.descriptionFunding This project was funded by the Innovate UK - part of UK Research and Innovation (Project No: 20378). The funders had no role in the study design, data collection and analysis, publication decision, or manuscript preparation. Acknowledgements This work is supported by the Industrial Centre for AI Research in digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690]. We thank all participants in the study. We thank all co-authors for their contributions. We also thank Graham Scotland for interpreting findings around economic evaluation and the rest of the iCAIRD team (including Moragh Boyle, Roger Staff) for contributing towards Phases 3 and 4 of this study. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.en
dc.description.statusPeer revieweden
dc.format.extent12
dc.format.extent1013690
dc.identifier285292150
dc.identifier25415cb2-2a92-4f25-8722-63d8b0f9b7ff
dc.identifier38698386
dc.identifier85191945529
dc.identifier.citationNewlands, R, Bruhn, H, Rzewuska Diaz, M, Lip, G, Anderson, L & Ramsay, C 2024, 'A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study) : a qualitative study using the WHO guide ', BMC Health Services Research, vol. 24, no. 1, 569. https://doi.org/10.1186/s12913-024-10926-zen
dc.identifier.doi10.1186/s12913-024-10926-z
dc.identifier.iss1en
dc.identifier.issn1472-6963
dc.identifier.otherORCID: /0000-0002-1000-3649/work/159077622
dc.identifier.otherORCID: /0000-0003-4043-7349/work/159078391
dc.identifier.otherORCID: /0000-0003-4642-1196/work/159078900
dc.identifier.otherORCID: /0000-0003-4563-152X/work/169078801
dc.identifier.urihttps://hdl.handle.net/2164/23402
dc.identifier.vol24en
dc.language.isoeng
dc.relation.ispartofBMC Health Services Researchen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectartificial intelligenceen
dc.subjectalgorithmen
dc.subjectbreasten
dc.subjectscreeningen
dc.subjectstakeholder analysisen
dc.subjectR Medicineen
dc.subjectUK Research and Innovation (UKRI)en
dc.subject20378en
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleA stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study) : a qualitative study using the WHO guideen
dc.typeJournal articleen

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