Early accurate diagnosis of breast lesions is the core link to reducing the harm of malignant breast lesions and improving patients’ prognosis. Relying on deep learning, real-time image recognition, and dynamic image analysis technologies, dynamic artificial intelligence-assisted ultrasound examination can intelligently analyze dynamic breast ultrasound images, automatically locate lesions, extract imaging features of lesions, and assist in differentiating benign and malignant lesions, making up for the inherent shortcomings of traditional ultrasound examination from a technical perspective. On this basis, this paper studies the application of dynamic artificial intelligence-assisted ultrasound examination in the diagnosis of breast lesions, analyzes the practical problems existing in traditional ultrasound examination for breast lesion diagnosis, explains the clinical application value of dynamic artificial intelligence-assisted ultrasound examination, and puts forward targeted application countermeasures for technical popularization, so as to promote the steady development of breast lesion diagnosis toward standardization, precision and high efficiency.