The George Institute for Global Health researchers developed a machine learning model that analyzes routine mammographic images to accurately predict women's cardiovascular disease risk. This novel approach leverages existing breast cancer screening infrastructure to deliver dual-purpose diagnostics without additional testing, potentially enabling earlier intervention for heart disease—a leading cause of mortality among women. The integration of AI with imaging data signifies a promising advancement in personalized preventative care.