The future of breast cancer screening and risk-reducing strategies is being shaped by artificial intelligence (AI), according to a review article published by Cell Press on December 12 in the journal Trends in Cancer.
Cell PressDec 13 2024 The future of breast cancer screening and risk-reducing strategies is being shaped by artificial intelligence , according to a review article published by Cell Press on December 12 in the journal Trends in Cancer.
Breast tissue that appears white on a mammogram is radiologically dense, while breast tissue that appears dark is considered non-dense. It is widely accepted that women with higher mammographic density for their age and body-mass index have a greater risk of breast cancer. In addition, higher density makes breast cancer harder to detect by mammography, known as the "masking effect."
To predict a future breast cancer diagnosis, advanced computational approaches such as deep learning are now being used to analyze mammographic images. In particular, AI methods are uncovering mammographic features that have potential to be stronger predictors of breast cancer risk than any other known risk factor. These features might explain a large proportion of the association between mammographic density and breast cancer risk.
Mammography Breast Cancer Cancer Cancer Diagnosis Cell Imaging Research Technology Ultrasound
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