French artificial intelligence (AI) software developer Avicenna.AI has signed a distribution deal with enterprise imaging and digital pathology vendor Sectra.
Under the deal, Avicenna's AI software for neurovascular pathologies will be offered through the Sectra amplifier marketplace, a platform for contracting, purchasing, and servicing of AI applications that have been validated and verified for use at point of care.
Avicenna's software uses deep learning to identify, detect, and quantify pathologies from CT images. The tools automatically detect and prioritize acute intracranial hemorrhage and large vessel occlusion cases within seconds and assess them for severity.
![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)
