Today, most sonography results are very operator-dependent. Additionally, for a carotid doppler, it is time-consuming to make all the measurements (IMT, CAS doppler, stenosis grading, etc.).

AI-assisted guidance & interpretation will reduce the dependence on specially trained radiologists. It will also reduce the operator-dependent interpretation and make it more consistent. Auto-detection of boundary structures would make the algorithms more reliable and easier to interpret. This solution can truly benefit patients and the medical fraternity.