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dc.contributor.authorBrodie, Andrew
dc.contributor.authorDairu, Dai
dc.contributor.authorTeoh, Jeremy
dc.contributor.authorDecaestecker, Karel
dc.contributor.authorDasgupta, Prokar
dc.contributor.authorVasdev, Nikhil
dc.date.accessioned2021-06-10T16:34:54Z
dc.date.available2021-06-10T16:34:54Z
dc.date.issued2021-05-20
dc.identifier.citationBrodie , A , Dairu , D , Teoh , J , Decaestecker , K , Dasgupta , P & Vasdev , N 2021 , ' Artificial Intelligence in Urological Oncology: An update and future applications ' , Urologic Oncology . https://doi.org/10.1016/j.urolonc.2021.03.012
dc.identifier.issn1078-1439
dc.identifier.otherPURE: 24902386
dc.identifier.otherPURE UUID: afb1acd7-eb23-4815-be9e-1663828cdb53
dc.identifier.urihttp://hdl.handle.net/2299/24578
dc.description© 2021 Elsevier Inc. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.urolonc.2021.03.012
dc.description.abstractThere continues to be rapid developments and research in the field of Artificial Intelligence (AI) in Urological Oncology worldwide. In this review we discuss the basics of AI, application of AI per tumour group (Renal, Prostate and Bladder Cancer) and application of AI in Robotic Urological Surgery. We also discuss future applications of AI being developed with the benefits to patients with Urological Oncology.en
dc.format.extent21
dc.language.isoeng
dc.relation.ispartofUrologic Oncology
dc.titleArtificial Intelligence in Urological Oncology: An update and future applicationsen
dc.contributor.institutionDepartment of Clinical, Pharmaceutical and Biological Science
dc.contributor.institutionExtracellular Vesicle Research Unit
dc.contributor.institutionBasic and Clinical Science Unit
dc.contributor.institutionCentre for Health Services and Clinical Research
dc.contributor.institutionSchool of Life and Medical Sciences
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-05-20
dc.relation.school
dcterms.dateAccepted2021-05-20
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.urolonc.2021.03.012
rioxxterms.licenseref.startdate2022-05-20
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.date.embargo2022-05-20


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