Large user differences and low standardization are the main challenges faced by medical ultrasound diagnosis. Shenzhen University's MUSIC (Medical UltraSound Image Computing, www.music-bme.net) laboratory has long been committed to the standardization, quantification and intelligent research of ultrasound diagnosis by making use of image analysis, artificial intelligence and robotics technologies. This talk will introduce in detail the research and thinking of the MUSIC laboratory in full-stack intelligent medical ultrasound, including the detection of standard planes, the measurement of biological parameters, and computer-aided diagnosis. It will reveal the use of cutting-edge artificial intelligence methods to solve ultrasound diagnosis faced challenges.