Big-data visualization software developer Zebra Medical Vision has received U.S. Food and Drug Administration (FDA) clearance for its Coronary Calcium Scoring software algorithm for calculating coronary artery calcium (CAC) scores from CT scans.
The algorithm is designed to automatically calculate CAC score from electrocardiogram-gated CT scans, thereby giving doctors information that can be used to assess a patient's risk of coronary artery disease (CAD). Zebra's algorithm can be used to analyze CT scans of the chest and possibly help identify those with CAD sooner.
The company noted that coronary artery disease is responsible for one-third of all deaths of people older than 35, and nearly half of men and one-third of women older than 40 will develop CAD symptoms. FDA clearance of Coronary Calcium Scoring will enable Zebra to expand in the U.S., according to co-founder and CEO Elad Benjamin.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)