Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection

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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection

Background: Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing challenges faced by breast screening programs. We compared the accuracy of AI versus radiologists in real-world population breast cancer screeni...

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Bibliographic Details
Main Authors:	Marinovich, Luke, Wylie, Elizabeth, Lotter, William, Lund, Helen, Waddell, Andrew, Madeley, Carolyn, Pereira, Gavin, Houssami, Nehmat
Format:	Journal Article
Language:	English
Published:	Elsevier 2023
Subjects:	Artificial intelligence Breast neoplasms Diagnostic screening programs Sensitivity and specificity Humans Female Breast Neoplasms Artificial Intelligence Retrospective Studies Prospective Studies Cohort Studies Mass Screening Early Detection of Cancer Mammography
Online Access:	http://purl.org/au-research/grants/nhmrc/1099655 http://hdl.handle.net/20.500.11937/93238

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