Screenshot of Viz LVO mobile image viewerScreenshot of Viz LVO and CTP AI-powered alerts

Neuro Suite

Comprehensive AI solution tailored for neurovascular care teams to accelerate the detection and treatment of suspected neuro disease

Connect care teams earlier, coordinate care, and improve outcomes for patients - across hub and spoke networks

Screenshot of Viz ANEURYSM follow-up workflowScreenshot of Viz SUBDURAL mobile image viewer application shown with middle-age ethnic man

AI-Powered Care Coordination

The Viz Neuro Suite uses artificial intelligence to automatically analyze an array of imaging modalities, enabling neurovascular care teams to automatically detect and triage care for suspected large vessel occlusions, aneurysm, intracranial hemorrhage, and subdurals.

When a suspected disease is detected, the appropriate care teams are automatically alerted, ensuring patients get the treatment and follow-up they need. Viz empowers multidisciplinary care teams to coordinate care across mobile, desktop and within the radiology workflow.

The most comprehensive and studied neurovascular portfolio

A comparison of two automated CTP algorithms for estimation of core infarct

There was not a statistically significant difference in calculated rCBF<30% volumes between Viz™ CTP or Rapid, compared to the manually segmented volumes from the 24 hour diffusion MRI.

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Viz™ CTP

Reduce Motion Artifact

  • Automatically analyze CT perfusion images of the brain with quantified color-coded perfusion maps
  • Up to 50% fewer motion artifact errors than similar solutions with motion correction & motion artifact removal
Automated Detection of Intracerebral Hemorrhage Using Artificial Intelligence: Pilot Deployment of Viz ICH

Viz™ ICH has the potential to be an adjunct tool to streamline ICH triage, reduce treatment delays, and improve outcomes of patients presenting with ICH.

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Viz™ ICH

Minimize Unnecessary Transfers

  • Automatically detects all types of intracranial hemorrhage (ICH) on a non-contrast computerized tomography (NCCT)
  • Alerts the on-call team within minutes to efficiently manage ICH
Success Stories

Hear from happy healthcare providers

Viz LVO has the potential for wide-spread improvement in clinical outcomes with implementation across large hub and stroke systems across the country.
The most time saving and quality of life improving feature of is the ability to see the images on the phone anywhere I am.
My goal for incidental aneurysm is that when the patient leaves the ED, they know they have an aneurysm and they have an appointment with a treating specialist.
It's dramatic. I may be sitting in angio with PACS next to me and I get a consult. Instead of logging into PACs, I pull my phone from my pocket and I search Viz. It's easy to use and always in my pocket.
66 mins saved from PSC picture to CSC door led to 55% reduction in patient LOS.
The Viz app has become an indispensable component of my everyday workflow.
In our study, Viz ANEURYSM not only demonstrated the value of automated detection but also the significant importance of facilitating referrals to the appropriate specialist, so fewer aneurysms get missed, helping more people.
Viz SUBDURAL allows us to detect both acute and chronic subdural hemorrhages to better identify early treatment pathways. Having an algorithm that identifies both can allow us to take better care of our patients.

Learn how we are improving access to life-saving treatments

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