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

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

Introduction Artiļ¬ cial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer screening programmes if they can detect cancers, including interval cancers, without contributing substantially to overdiagnosis. Studies sugge...

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Bibliographic Details
Main Authors: Marinovich, Luke, Wylie, E., Lotter, W., Pearce, A., Carter, S.M., Lund, H., Waddell, A., Kim, J.G., Pereira, Gavin, Lee, C.I., Zackrisson, S., Brennan, M., Houssami, N.
Format: Journal Article
Language:English
Published: BMJ PUBLISHING GROUP 2022
Subjects:
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
breast tumours
breast imaging
diagnostic radiology
Artificial Intelligence
Australia
Breast Neoplasms
Cohort Studies
Early Detection of Cancer
Female
Humans
Infant, Newborn
Mammography
Mass Screening
Retrospective Studies
Online Access:http://purl.org/au-research/grants/nhmrc/1099655
http://hdl.handle.net/20.500.11937/91327

Internet

http://purl.org/au-research/grants/nhmrc/1099655
http://hdl.handle.net/20.500.11937/91327

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