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CANCER SCREENING

AI as a new paradigm for risk-based screening for breast cancer

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AI may represent a new tool in the risk assessment and screening pathway of breast cancer. To realise its potential, the effect of AI-supported decisions on relevant clinical outcomes must be prospectively evaluated.

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Fig. 1: BC risk factors.

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Acknowledgements

N.H. receives funding via the National Breast Cancer Foundation (NBCF) Chair in Breast Cancer Prevention grant (EC-21-001).

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Authors and Affiliations

  1. The Daffodil Centre, University of Sydney—a joint venture with Cancer Council NSW, Sydney, NSW, Australia

    Nehmat Houssami

  2. Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA

    Karla Kerlikowske

Authors
  1. Nehmat Houssami
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  2. Karla Kerlikowske
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Contributions

N.H. and K.K. contributed equally to this article.

Corresponding author

Correspondence to Nehmat Houssami.

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Competing interests

N.H. is collaborating in evaluations of various AI algorithms for mammography screening. N.H. does not receive any funding or sponsorship from the AI industry, and is not involved in the development of AI systems.

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Houssami, N., Kerlikowske, K. AI as a new paradigm for risk-based screening for breast cancer. Nat Med 28, 29–30 (2022). https://doi.org/10.1038/s41591-021-01649-3

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