Nanox Imaging said that a study in Israel using CT scans and its HealthCCSng AI algorithm identified moderate to severe levels of coronary artery calcium (CAC) in 58% of patients.
CAC is a proven indicator of future cardiac events and Nanox.AI’s (a Nanox subsidiary) algorithm uses medical imaging data from routine chest CT scans to automatically quantify and analyze a patient's CAC category.
In a study at the Beilinson Hospital in Petah Tikva, clinicians led by Ran Kornowski, MD, director of the hospital's cardiology center, tested the algorithm in 326 patient CT scans that had nothing to do with cardiac concerns. Out of these scans, the algorithm helped identify 101 patients (31%) with severe CAC, 88 (27%) with moderate CAC, and 137 (42%) with low CAC.
Patients with severe CAC levels were referred to specialized preventive cardiology clinics for in-depth evaluation and treatment, while those categorized with low and moderate CAC were directed to primary care physicians for further assessment and medical optimization, Kornowski noted in a news release.
"The patients in this study received routine CT scans that had nothing to do with a cardiac concern. Nanox’s AI technology can enable physicians to route these unsuspecting individuals with high CAC levels to the appropriate care pathways and treatment," he said.
Nanox.AI’s HealthCCSng is cleared by the U.S. Food and Drug Administration and has received the CE mark in Europe, Nanox noted.
![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
