Leveraging AI to make the use and analysis of ultrasound images smarter and more accessible to all
DiA Imaging Analysis was founded by Dr. Noah Liel, Michal Yaacobi, Hila Goldman-Aslan and Arnon Toussia-Cohen who saw how ultrasound analysis was done by then - manually and visually.
This means the process is subjective, time-consuming, error-prone, cumbersome, and highly dependent on the user's experience.
DiA's mission is to support clinicians with various analysis experience levels, in their decision-making process and to use our solutions as part of their everyday analysis routine.
DiA’s AI auto solutions use advanced pattern recognition, deep learning and machine learning algorithms to automatically imitate the way the human eye identifies borders and motion.
The solutions are vendor-neutral that runs on images from any ultrasound device, including mobile and portable devices, and cross-platform that can be added to any ultrasound device , Healthcare IT system or work behind the scenes.