Artificial intelligence improves mammography-based breast cancer risk prediction.

Journal: Trends in cancer
Published Date: Dec 12, 2024

Abstract

Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic density-associated risk prediction and shaping the future of screening and risk-reducing strategies.

Authors

  • Wendy V Ingman
    Discipline of Surgical Specialities, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide 5011, Australia; Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia.
  • Kara L Britt
    Breast Cancer Risk and Prevention Laboratory, Peter MacCallum Cancer Centre, Melbourne 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville 3000, Australia; Department of Anatomy and Developmental Biology, Monash University Clayton, Clayton 3800, Australia.
  • Jennifer Stone
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Tuong L Nguyen
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • John L Hopper
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
  • Erik W Thompson
    School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane 4059, Australia; Translational Research Institute, Woolloongabba 4102, Australia. Electronic address: e2.thompson@qut.edu.au.

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