Hidden clues could help predict a woman’s breast cancer risk years in advance

Researchers have developed an AI tool that analyzes changes in a woman’s 3D mammograms over several years to predict her risk of developing breast cancer within the next five years. This approach goes beyond traditional risk assessments by identifying clues within breast tissue, potentially allowing for personalized screening strategies. While promising, the AI tool is still a research tool and requires further testing and FDA authorization for clinical use.

• An AI tool analyzes multiple years of 3D mammograms to predict a woman’s breast cancer risk within five years.
• The AI model was trained on over 313,000 mammograms from more than 161,000 women.
• This technology could help doctors tailor breast cancer screening based on individual risk.
• Women identified as high-risk could discuss additional screening options like MRI.
• The AI tool analyzes existing mammograms, avoiding additional radiation exposure.
• An AI risk score is not a diagnosis and does not eliminate risk or replace regular mammography.
• The NYU model is currently a research tool and not yet FDA-authorized for clinical use.
• Further testing is needed with data from diverse medical centers and mammography systems.