The leading Researchers in ehealthlab@CUT have built solid expertise in atherosclerotic plaque analysis in carotid ultrasound images and videos, for stroke risk stratification. During the past 15 years, there has been a collaborative effort, closely guided by the Honorary Prof. of Surgery (St. George’s University of London/University of Nicosia, Medical School), Prof. Andrew Nicolaides, which lead to the identification of carotid plaque image-based characteristics (morphology, texture and geometries) distinctive in patients with symptoms. Moreover, the large Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) database, part of an effort to elucidate stroke-inducing plaque features in asymptomatic individuals, enabled multiple publications, from which a gold standard image prepocessing scheme for reproducible measurements was introduced and is universally accepted, prior to mainstream computational analysis. Since 2017, our laboratory researchers have extended carotid plaque analysis, extracting plaque-specific motion patterns, in ultrasound videos, to locate plaque areas more susceptible to rupture, where the underlying cardiac cycle phases are also identified.