Siemens Healthineers presented its Mobile Stroke Unit (MSU) at the pre-Congress Meeting of the 17th World Stroke Congress in Barcelona on October 21.
MSU is the first mobile unit capable of diagnosing and treating stroke at the location where it occurs, according to the firm. Operated by a team of specialized neurology professionals, MSU is a specialized ambulance featuring CT, telemedicine, and a point-of-care lab.
Siemens reported that treatment time with MSU is 36 minutes faster, with more than half of the patients treated with the mobile unit achieving full recovery after three months, compared with 43% with conventional care. The use of MSU also resulted in lower mortality rates at 90 days following a stroke, as well as improved functional outcomes for patients.
Siemens Healthineers also presented its interactive virtual reality tool Time is Brain at the meeting. Time is Brain allows users to experience a simulated cerebrovascular accident firsthand and follow through the phases of its management from different perspectives (such as the patient’s or clinician’s). At the meeting, Time is Brain was set for participants to experience the diagnostic and treatment process through the clinician’s perspective.














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





