What are the ultrasonic imaging artificial intelligence diagnosis systems?

Diagnostic systems include Watson Health of IBM, Calico of Google, biometrics of Microsoft and Kangfuzi, carbon cloud intelligence of Matu Shenkang and China.

Ultrasonic imaging artificial intelligence diagnosis system uses high-frequency sound waves and the reflection, refraction and attenuation characteristics of human structures to check and diagnose with real-time imaging technology. It uses the principle of ultrasound to obtain the image information of related tissues through the conduction and reflection of sound waves in human body. These image information can be used to analyze and measure the structure, morphology and potential conditions of tissues, such as obstruction and injury, so as to judge whether there are disease changes. The development of ultrasonic imaging artificial intelligence diagnosis system benefits from the research and innovation of many companies, including Watson Health of IBM, Calico of Google, biometric technology of Microsoft, and Kangfuzi, Matu Shenkang and Carbon Cloud Intelligence of China. These systems provide more accurate, fast and reliable ultrasonic diagnosis results by integrating artificial intelligence technology, which is helpful to improve the efficiency and accuracy of medical diagnosis.