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.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
