AI-powered Viz.ai improves outcomes in stroke patients

For Viz.ai founder and CEO Chris Mansi, MD, every minute spent on inefficient tasks like retrieving medical results meant an exponential growth of problems for his patients.  

As a former U.K.-based neurosurgeon treating stroke patients, “time is brain.” Every minute a stroke patient waits for care, they lose, on average, 1.9 million neurons and 14 billion synapses in their brain. Every 10 minutes a patient goes untreated, they lose eight weeks of their life.   

Mansi founded Viz.ai to help providers treat patients faster. Using artificial intelligence, the software compares CT images of a patient’s brain against a database to detect early signs of vessel occlusion strokes. It then notifies doctors on their phones, reducing the amount of time it would take to get that patient into surgery using traditional diagnostic methods.  

“The Viz.ai One solution, integrated into electronic health record (EHR) systems and radiology worklists, provides intelligent care pathways powered by AI in neurological, vascular, and cardiac diseases. It offers auto-orchestration to apply the right AI algorithms to patient images or data in real-time. When Viz.ai’s FDA-cleared AI algorithms detect suspected signs of disease, radiologists and specialists are notified in seconds,” Mansi shared.  

“The platform does not stop at detection, however. Aiming to prevent patients from falling through the cracks, Viz.ai connects care teams in different hospital systems, allowing critical patient images and data to be shared within seconds. This accelerated coordination is crucial, especially in time-sensitive cases.”  

One study found that hospitals using Viz.ai’s AI technology could reduce the time between a patient’s arrival and their first evaluation by a brain surgery specialist by almost 40 minutes.  

In January, Viz.ai announced that over 1500 hospitals had adopted their technology, reaching 45,000 healthcare providers.  

“Viz.ai is designed entirely around the provider workflow — care teams generate enormous outcomes improvements, and it improves the quality of life for the teams delivering the care,” Mansi said. “They’re able to support a case from anywhere through the power of their phone, web, or radiology workstation.”  

Other impressive stats the tool boasts are a 40% reduction in disability at 90 days, a 2.5-day reduction in hospital length of stay, and a 3.5-day reduction in ICU length of stay, according to data found in their clinical studies.  

“More than 90% of our notifications and alerts are viewed within 5 minutes. This engagement is critical to generating better patient outcomes. For hospital systems, more effective and efficient care will lead to an ability to serve more patients with timely care, resulting in fewer delays and greater access to life-saving treatments.”