Breast cancer risk prediction tools are increasingly used in clinical practice to guide early detection, prevention, and shared decision-making. Unlike population-level screening, personalised risk estimates incorporate individual factors (family history, genetics, lifestyle, breast density), providing tailored assessments. These tools show promise for improving patient engagement and targeted prevention, but require effective...