Artificial intelligence improves mammography-based breast cancer risk prediction
- Author(s)
- Ingman, WV; Britt, KL; Stone, J; Nguyen, TL; Hopper, JL; Thompson, EW;
- Details
- Publication Year 2025-03,Volume 11,Issue #3,Page 188-191
- Journal Title
- Trends in Cancer
- Publication Type
- Review
- Abstract
- Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic density-associated risk prediction and shaping the future of screening and risk-reducing strategies.
- Publisher
- Cell Press
- Keywords
- Humans; *Breast Neoplasms/diagnostic imaging/diagnosis/pathology; *Mammography/methods; Female; *Artificial Intelligence; *Early Detection of Cancer/methods; *Breast Density; Risk Assessment/statistics & numerical data/methods; Risk Factors; artificial intelligence; breast cancer risk; breast cancer screening; deep learning; mammographic breast density; mammography
- Department(s)
- Laboratory Research
- Publisher's Version
- https://doi.org/10.1016/j.trecan.2024.10.007
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2025-01-07 06:16:03
Last Modified: 2025-04-08 06:06:08