Abstract:Ultrasound is the first-line screening method for breast cancer. The application of BI-RADS makes the ultrasound diagnosis of breast diseases relatively consistent, but it is still affected by subjective factors of operators. With the advancement of computer technology and the arrival of the era of big data, the performance of computer-aided diagnostic models based on deep learning has been continuously improved from two-dimensional static image analysis to dynamic capture of lesions and keyframe analysis to automatic breast volume scanning and multi-modal research. The use of artificial intelligence in ultrasound can help sonographers increase the consistency and accuracy of diagnosis, and play an important role in the process of breast cancer screening, diagnosis and treatment.