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

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

Internet

http://purl.org/au-research/grants/nhmrc/1099655
http://hdl.handle.net/20.500.11937/93238

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