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The impact of inconsistent human annotations on AI driven clinical decision making

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dc.contributor.authorSylolypavan, Aneeta
dc.contributor.authorSleeman, Derek
dc.contributor.authorWu, Honghan
dc.contributor.authorSim, Malcolm
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-06-28T16:00:02Z
dc.date.available2023-06-28T16:00:02Z
dc.date.issued2023-02-21
dc.descriptionFunding Information: We thank all the consultants from the QEUH who annotated the set of instances that formed an important part of the analysis described in this paper. We also acknowledge helpful discussions with Prof Hugh Montgomery (Faculty of Medical Sciences, UCL). H.W. is supported by Medical Research Council (MR/S004149/1, MR/S004149/2); National Institute for Health Research (NIHR202639); British Council (UCL-NMU-SEU International Collaboration On Artificial Intelligence In Medicine: Tackling Challenges Of Low Generalisability And Health Inequality); Welcome Trust ITPA (PIII0054/005); The Alan Turing Institute, London, UK. H.W. is the corresponding author of this paper - based at UCL, Gower St, London, WC1E 6BT and contactable via email: honghan.wu@ucl.ac.uk.en
dc.description.statusPeer revieweden
dc.format.extent1170894
dc.identifier239252974
dc.identifier72aac213-9cc0-4f41-854b-1801873291f6
dc.identifier85148694822
dc.identifier.citationSylolypavan, A, Sleeman, D, Wu, H & Sim, M 2023, 'The impact of inconsistent human annotations on AI driven clinical decision making', npj Digital Medicine, vol. 6, no. 26, 26. https://doi.org/10.1038/s41746-023-00773-3en
dc.identifier.doi10.1038/s41746-023-00773-3
dc.identifier.iss26en
dc.identifier.issn2398-6352
dc.identifier.urihttps://hdl.handle.net/2164/21052
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85148694822&partnerID=8YFLogxKen
dc.identifier.vol6en
dc.language.isoeng
dc.relation.ispartofnpj Digital Medicineen
dc.subjectR Medicineen
dc.subjectMedicine (miscellaneous)en
dc.subjectHealth Informaticsen
dc.subjectComputer Science Applicationsen
dc.subjectHealth Information Managementen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/S004149/1en
dc.subjectMR/S004149/2en
dc.subjectWellcome Trusten
dc.subjectPIII0054/005en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subjectNIHR202639en
dc.subjectSupplementary Informationen
dc.subject.lccRen
dc.titleThe impact of inconsistent human annotations on AI driven clinical decision makingen
dc.typeJournal articleen

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