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AI detects heart risk in mammograms (Level A2) — smiling woman standing near another woman beside mammogram machine

AI detects heart risk in mammogramsCEFR A2

26 May 2026

Adapted from Emory University, Futurity CC BY 4.0

Photo by National Cancer Institute, Unsplash

Level A2 – High beginner / Elementary
3 min
136 words

The study, led at Emory University School of Medicine, examined data from 123,762 women aged 40 to 79 who had breast screening at Emory Healthcare and another large health system. None had known cardiovascular disease when their mammograms were taken. Researchers used AI tools to measure calcium deposits in breast arteries, called breast arterial calcification (BAC).

Researchers classified BAC as absent, mild, moderate, or severe and compared later cardiovascular outcomes. Mild BAC was about 30% higher risk, moderate was more than 70% higher, and severe was two to three times higher risk. Women are recommended to start mammograms at age 40, and younger women may be overlooked. The team advised discussing mammogram findings with a doctor. The results were published in the European Heart Journal and the work was funded by the National Institutes of Health.

Difficult words

  • cardiovascular diseaseIllness of the heart and blood vessels
  • mammogramX-ray image of the breast
    mammograms
  • arteryBlood vessel that carries blood from the heart
    arteries
  • calcificationHardening when calcium builds in body tissue
  • riskChance of harm or a bad result
  • outcomeResult or effect after a health event
    outcomes

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Discussion questions

  • If a mammogram shows calcification, what would you ask your doctor?
  • Do you think regular mammograms can help find other health problems? Why or why not?

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