Artificial intelligence (AI) software developer RapidAI has garnered U.S. Food and Drug Administration (FDA) clearance for its Rapid ASPECTS stroke imaging computer-aided diagnosis (CADx) software.
Based on the Alberta Stroke Program Early CT Scoring (ASPECTS) system, Rapid ASPECTS employs a machine-learning algorithm to automatically identify the ASPECTS regions of the brain on noncontrast CT exams. In a few minutes, the software then generates an ASPECT score to indicate early signs of brain infarction, the company said.
By automating and standardizing the process of identifying areas of irreversible brain injury, Rapid ASPECTS can improve the accuracy of nonexpert readers and help stroke teams to quickly assess patient eligibility for thrombectomy, enabling faster triage and transfer decisions, according to the vendor.
![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)
