The mutual integration and application of artificial intelligence (AI) system and ultrasonic medical big data analysis and processing technology has developed into a new hot spot in the integration of medical industry. One of the most important algorithms at the heart of AI technology is deep machine learning

which can intelligently recognize and classify ultrasonic images. In recent years

more and more technical experts engaged in the field of ultrasound medical engineering and computer science at home and abroad have begun to devote themselves to how to promote the highly integrated development of intelligent ultrasound and big data technology

aiming at assisting clinical physicians screening

diagnosis

prognosis risk assessment

etc. It is helpful to reduce the workload of front-line medical staff

increase the accuracy of ultrasonography in assisting disease diagnosis and reduce the misdiagnosis rate of patients conditions

so as to improve the diagnosis and treatment efficiency and meet the rapid growth of various clinical service demands. This paper focused on the application of AI and big data technology in the clinical and practical work of hospital ultrasound

and summarized the technical necessity

development status and existing problems of AI and big data in the development of medical and industrial integration one by one. It aimed to promote the sustainable development of the integration of medicine and industry and improve the level of clinical practice of ultrasound medicine.