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dc.contributor.authorHoussami, Nehmat
dc.contributor.authorKirkpatric-Jones, Georgia
dc.contributor.authorNoguchi, Naomi
dc.contributor.authorLee, Christoph I
dc.date.accessioned2021-08-19T06:25:08Z
dc.date.available2021-08-19T06:25:08Z
dc.date.issued2019en_AU
dc.identifier.urihttps://hdl.handle.net/2123/25882
dc.description.abstractVarious factors are driving interest in the application of artificial intelligence (AI) for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale use in population-based screening. We performed a scoping review, a structured evidence synthesis describing a broad research field, to summarize knowledge on AI evaluated for BC detection and to assess AI’s readiness for adoption in BC screening. Studies were predominantly small retrospective studies based on highly selected image datasets that contained a high proportion of cancers (median BC proportion in datasets 26.5%), and used heterogeneous techniques to develop AI models; the range of estimated AUC (area under ROC curve) for AI models was 69.2–97.8% (median AUC 88.2%). We identified various methodologic limitations including use of non-representative imaging data for model training, limited validation in external datasets, potential bias in training data, and few comparative data for AI versus radiologists’ interpretation of mammography screening.en_AU
dc.language.isoenen_AU
dc.publisherTaylor and Francisen_AU
dc.relation.ispartofExpert Review of Medical Devicesen_AU
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0en_AU
dc.subjectArtificial intelligenceen_AU
dc.subjectbreast canceren_AU
dc.subjectdata biasen_AU
dc.subjectmammographyen_AU
dc.subjectpopulation screeningen_AU
dc.titleArtificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential for screening practice.en_AU
dc.typeArticleen_AU
dc.subject.asrc1112 Oncology and Carcinogenesisen_AU
dc.subject.asrc1117 Public Health and Health Servicesen_AU
dc.identifier.doi10.1080/17434440.2019.1610387
dc.relation.otherNational Breast Cancer Foundation (NBCF)
dc.relation.otherSafeway Foundation
usyd.facultySeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Healthen_AU
usyd.citation.volume16en_AU
usyd.citation.issue5en_AU
usyd.citation.spage351en_AU
usyd.citation.epage362en_AU
workflow.metadata.onlyYesen_AU


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