Abstract: As deep learning brings a series of revolutionary change, artificial intelligence has become a focus in various fields again in recent years. With the transition from computer vision to deep learning and the progress in hardware and big data, artificial intelligence, has demonstrated broader prospects for the development of image recognition. Image algorithm exploiting deep learning model has achieved better identification accuracy than the naked eye, which offers the possibility of making breakthrough in medical imaging field. Ultrasonography is a main branch of medical imaging. An increasing number of papers on research of the application of artificial intelligence-related algorithms into analyzing ultrasonographic images provide new insights into clinical research. Meanwhile, specific software is able to compensate for the practitioner's deficiency in experience and improve diagnostic accuracy as well.