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An overview of artificial intelligence applications for next-generation gynaecological pathology

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dc.contributor.authorBell, Sarah
dc.contributor.authorBlackwood, James D.
dc.contributor.authorFell, Christina
dc.contributor.authorMohammadi, Mahnaz
dc.contributor.authorMorrison, David
dc.contributor.authorHarris-Birtill, David
dc.contributor.authorBryson, Gareth
dc.date.accessioned2023-09-29T10:30:02Z
dc.date.available2023-09-29T10:30:02Z
dc.date.issued2023-10-01
dc.identifier291720794
dc.identifier86823537-e513-4e75-8575-221f0a57b08b
dc.identifier85166240087
dc.identifier.citationBell , S , Blackwood , J D , Fell , C , Mohammadi , M , Morrison , D , Harris-Birtill , D & Bryson , G 2023 , ' An overview of artificial intelligence applications for next-generation gynaecological pathology ' , Diagnostic Histopathology , vol. 29 , no. 10 , pp. 442-449 . https://doi.org/10.1016/j.mpdhp.2023.07.002en
dc.identifier.issn1756-2317
dc.identifier.otherRIS: urn:A6C15A484C4A77B5086A58BEE8C539D3
dc.identifier.otherORCID: /0000-0001-5502-9773/work/139965408
dc.identifier.otherORCID: /0000-0002-0740-3668/work/139965443
dc.identifier.urihttps://hdl.handle.net/10023/28473
dc.descriptionFunding: The work described in the section Creation of a Scottish ‘living lab’ for AI development is part of iCAIRD which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI), project number 104690.en
dc.description.abstractWith the drive to roll out digital pathology in the UK, implementation of artificial intelligence (AI) tools for pathology is now a possibility, bringing with it the potential to change how we work as a specialty. AI promises many benefits for working practices such as improved efficiency and consistency, financial and productivity gains and ultimately a better service for our patients. Gynaecological pathology is a diverse specialty with many potential avenues for algorithm development, yet there are relatively few nearing clinical validation compared to other pathology specialties. This article provides a summary of the current landscape of AI in pathology with a focus on applications in gynaecological pathology. We discuss the ways pathologists can be involved in algorithm development and draw on our significant experiences in a nationally funded programme for AI development and research. Finally we look to what the future might hold.
dc.format.extent8
dc.format.extent2042189
dc.language.isoeng
dc.relation.ispartofDiagnostic Histopathologyen
dc.subjectArtificial intelligenceen
dc.subjectComputational pathologyen
dc.subjectDeep learningen
dc.subjectDigital pathologyen
dc.subjectGynaecological pathologyen
dc.subjectWhole slide imagesen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRB Pathologyen
dc.subjectRG Gynecology and obstetricsen
dc.subjectT-NDASen
dc.subjectACen
dc.subjectMCCen
dc.subjectNCADen
dc.subject.lccQA75en
dc.subject.lccRBen
dc.subject.lccRGen
dc.titleAn overview of artificial intelligence applications for next-generation gynaecological pathologyen
dc.typeJournal articleen
dc.contributor.sponsorTechnology Strategy Boarden
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1016/j.mpdhp.2023.07.002
dc.description.statusPeer revieweden
dc.identifier.grantnumberTS/S013121/1en


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