Viz.ai plans to highlight data gleaned from a large hospital network based in Texas that demonstrates the efficacy of its Viz Aneurysm software at the upcoming Society of Vascular and Interventional Neuroradiology (SVIN) meeting in Los Angeles.
Viz Aneurysm automatically analyzes CT angiograms for suspected cerebral aneurysm and facilitates referrals, allowing for better diagnosis and patient care, Viz.ai said. In the hospital network, it was used with 1,200 CT angiograms for stroke evaluation across eight stroke centers; of these, 85% of the aneurysms detected by Viz Aneurysm had not been previously referred for follow-up. The median size of all aneurysms was 5 mm and 45% were larger than 7 mm, according to the firm.
![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)
