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dc.contributor.authorGilbert, FJ
dc.contributor.authorSmye, SW
dc.contributor.authorSchönlieb, C-B
dc.date.accessioned2019-10-24T23:30:27Z
dc.date.available2019-10-24T23:30:27Z
dc.date.issued2020-01
dc.identifier.issn0009-9260
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/298068
dc.description.abstractThe development and application of artificial intelligence (AI) to radiology requires an approach that encompasses a health system. The UK government and National Health Service (NHS) are creating an ecosystem to facilitate academic/industrial partnerships aimed at accelerating the creation of relevant and robust AI tools, which will improve the development and delivery of healthcare imaging. A series of recent initiatives are described, which will drive the development and adoption of AI in clinical imaging.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherElsevier BV
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHumans
dc.subjectRadiology
dc.subjectDiffusion of Innovation
dc.subjectArtificial Intelligence
dc.subjectState Medicine
dc.subjectUnited Kingdom
dc.titleArtificial intelligence in clinical imaging: a health system approach.
dc.typeArticle
prism.endingPage6
prism.issueIdentifier1
prism.publicationDate2020
prism.publicationNameClin Radiol
prism.startingPage3
prism.volume75
dc.identifier.doi10.17863/CAM.45126
dcterms.dateAccepted2019-09-03
rioxxterms.versionofrecord10.1016/j.crad.2019.09.122
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-01
dc.contributor.orcidGilbert, Fiona [0000-0002-0124-9962]
dc.identifier.eissn1365-229X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N014588/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/J009539/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/M00483X/1)
pubs.funder-project-idNETSCC (None)
cam.issuedOnline2019-09-30
cam.orpheus.successThu Jan 30 10:36:39 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2020-09-30


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International