A multicenter study developed a radiomics model based on contrast-enhanced ultrasound imaging that accurately predicts axillary lymph node metastasis and prognosis in breast cancer patients. This tool enhances personalized cancer diagnostics by non-invasively assessing tumor progression risk, supporting more tailored therapeutic decisions. The study marks a significant advance in utilizing AI-driven image analysis to improve clinical management of breast cancer.