Artificial intelligence (AI) firm Viz.ai has introduced Viz Vascular Suite, an AI-based software application designed to automatically detect and enable triage care for cases of suspected pulmonary embolism (PE), right heart strain, aortic dissection, and abdominal aortic aneurysm (AAA).
Viz Vascular Suite can automatically analyze imaging modalities such as CT exams, electrocardiograms (ECGs), and others for suspected vascular diseases, according to the vendor. After it detects suspected pathology, the app automatically alerts and displays the imaging studies on the mobile phones of the vascular care teams. These clinicians can then use the software to remotely coordinate vascular pathology care within a hospital system's hub-and-spoke network, as well as communicate synchronously, Viz.ai said.
The firm noted that it has submitted a new 510(k) application to the U.S. Food and Drug Administration specifically for the AAA algorithm.
![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)
