Accurate diagnosis and treatment of breast cancer significantly improve patient outcomes. Ultrasound is commonly used in the screening

diagnosis

and evaluation of therapeutic effects in breast cancer. Ultrasound radiomics uses high-throughput methods to extract numerous features from ultrasound images

reflecting the microscopic changes and biological behavior of the tumors. Ultrasound radiomics models based on artificial intelligence are gradually developed and applied in the diagnosis andtreatment evaluation of breast cancer

aiming to facilitate the precise diagnosis and treatment of breast cancer. This article briefly introduced the research progress of ultrasound imaging based on artificial intelligence in breast cancer screening and diagnosis

molecular classification

axillary lymph node metastasis assessment

and neoadjuvant treatment efficacy assessment

summarized the limitations

challenges and the future development direction of the application of this technology.