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