
Artificial intelligence (AI) software developer Avicenna.ai has garnered U.S. Food and Drug Administration (FDA) 510(k) clearance for its Cina Head AI computer-assisted triage software.
Within 20 seconds, Cina Head can automatically detect and alert radiologists to the presence of intracranial hemorrhage (ICH) and large-vessel occlusion (LVO) on CT scans of emergency room patients, according to the vendor. Radiologists are notified of these findings within their existing systems and workflow, Avicenna.ai said.
Avicenna.ai's Cina Head software can automatically detect and triage intracranial hemorrhage and large-vessel occlusion on emergency room CT scans. Image courtesy of Avicenna.ai.In testing on data from 814 cases at more than 250 imaging centers in the U.S., the software yielded 91.4% sensitivity, 97.5% specificity, and 96% accuracy for detecting ICH, the company said. Cina Head delivered 97.9% sensitivity, 97.6% specificity, and 97.7% accuracy for detecting LVO on 476 cases.
Avicenna.ai said that it plans to also introduce other emergency radiology AI tools for trauma and vascular imaging applications over the next 12 months.











![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&fit=crop&h=112&q=70&w=112)








