AI in Ultrasound

Background

In the past decade, ultrasound devices have become more portable. There are several ultrasound devices available which can be connected to your own smartphone. Unfortunately, these devices are barely used outside the hospital, since it requires a well-trained sonographer to both acquire and interpret the images. The AI in Ultrasound research line at MUSIC has the aim to make ultrasound available to people with limited amount of training, which makes ultrasound more widely available.

Research / Developments

Ultrasound imaging requires a well-trained sonographer to both acquire and interpret the images. By combining AI, a standardized acquisition protocol and hand-held ultrasound devices it becomes possible to vastly reduce training of sonographers. The AI systems can be used to aid the user during the acquisition of the ultrasound data and give real-time feedback to the user. When a standardized acquisition protocol is completed, the algorithms automatically interpret the ultrasound images and reports the results back to the user. This makes ultrasound imaging accessible to a wide range of users that were previously not able to perform ultrasound imaging.