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AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.

Marie Burns BerganMarthe LarsenNataliia MoshinaHauke BartschHenrik Wethe KochHildegunn Siv AaseZhanbolat SatybaldinovIngfrid Helene Salvesen HaldorsenChristoph I LeeSolveig Hofvind
Published in: European radiology (2024)
• Mammographic density is important to consider in the evaluation of artificial intelligence in mammographic screening. • Given a threshold representing about 10% of those with the highest malignancy risk score by an AI system, we found an increasing percentage of cancers with increasing mammographic density. • Artificial intelligence risk score and mammographic density combined may help triage examinations to reduce workload for radiologists.
Keyphrases
  • artificial intelligence
  • machine learning
  • breast cancer risk
  • big data
  • deep learning
  • emergency department
  • young adults