Integrating artificial intelligence into routine mammography screening for breast cancer can increase the number of breast cancers detected without increasing the number of women recalled for further evaluation of suspicious findings.
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References
Independent, U. K. Panel on Breast Cancer Screening. The benefits and harms of breast cancer screening: an independent review. Lancet 380, 1778–1786 (2012). A review of the effect of mammography screening on breast cancer mortality.
Lång, K. et al. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study. Lancet Oncol. 24, 936–944 (2023). A randomized controlled trial that showed a superior breast cancer detection rate in Swedish mammography screening.
Dembrower, K. et al. Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study. Lancet Digit. Health 2, e468–e474 (2020). A retrospective simulation study that reported increased breast cancer detection and workload reduction when AI-based triaging was used in mammography screening.
Byng, D. et al. AI-based prevention of interval cancers in a national mammography screening program. Eur. J. Radiol. 152, 110321 (2022). A retrospective study that found that AI assistance in breast cancer screening can detect more cases of false negatives and cancers with minimal signs.
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This is a summary of: Eisemann, N. et al. Nationwide real-world implementation of AI for cancer detection in population-based mammography screening. Nat. Med. https://doi.org/10.1038/s41591-024-03408-6 (2025).
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Artificial intelligence improves breast cancer detection in mammography screening. Nat Med 31, 1422–1423 (2025). https://doi.org/10.1038/s41591-025-03714-7
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DOI: https://doi.org/10.1038/s41591-025-03714-7
