Harrison.ai is launching its CE-marked CT Chest software, an AI tool that helps clinicians identify 167 radiological features.
These features include those that may be suggestive of life-threatening conditions, tumors, and chronic diseases. Harrison.ai CT Chest identifies close to nine critical findings, such as pulmonary embolism, acute aortic syndrome, pneumothorax, and acute rib fractures.
The software is designed to reduce the risk of missed or underdiagnosed conditions, including in emergency and inpatient settings.
Harrison.ai CT Chest also helps with cancer screening by detecting, staging, and monitoring features suggestive of lung, gastric, and pancreatic cancers, and streamlines lung screen workflows through reporting features, the company 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)
