AZmed has received the CE mark for AZnod, designed to detect and characterize pulmonary nodules on CT scans.
AZnod is the first AI tool for CT within AZmed’s Rayscan product line, extending the firm’s Rayvolve AI suite beyond x-rays. It is designed to aid lung cancer screening programs by providing standardized detection and comprehensive characterization of pulmonary nodules on CT scans. The software identifies and evaluates nodules between 3 mm and 30 mm, providing measurements of volume, long-axis diameter, and perpendicular diameters, as well as indicating the exact CT slices on which they are present.
The tool classifies the nodules according to density, contour morphology, internal composition, and position in the lungs, and generates a report listing each nodule by clinical priority. The report includes annotated views of size and standardized measurements in millimeters and cubic millimeters, and the nodules’ diagnostic attributes, as well as an anatomical lung schematic to assist with assessment of the nodules, AZmed added.
![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)
