Comprehensive AI solution tailored for neurovascular care teams to accelerate the detection and treatment of suspected neuro disease
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.
Hospital utilization of an AI-based care coordination platform was associated with a significant decrease of 39.5 minutes in the time to NIR contact, increase in patients taken for intervention, and lower DTN times for thrombolytics.
Reduce Time-to-Treatment
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.
Reduce Motion Artifact
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.
Minimize Unnecessary Transfers
UCAs of sizes and intra-dural locations that may warrant treatment are frequently missed in routine clinical care. An ML algorithm that flags studies and notifies clinicians may minimize missed treatment opportunities.
Detect and Follow More Incidental Aneurysms
Viz™ SUBDURAL CNN performed exceptionally well at identifying and quantifying key features of SDHs in an independent validation imaging data set.
Unleash Chronic Subdural Management
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 Viz.ai 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.
Emergency surgery to put a stent in the 23-year-old's neck helped him return to life pretty much as normal.
Emergency surgery to put a stent in the 23-year-old's neck helped him return to life pretty much as normal.
Join leaders of CommonSpirit’s Neuroscience Committee as they share their experience building a gold-plus awarded stroke program with AI-assisted triage.
Join leaders of CommonSpirit’s Neuroscience Committee as they share their experience building a gold-plus awarded stroke program with AI-assisted triage.
A new multicenter study showed that up to 85% of aneurysms detected by AI had not been previously referred for follow-up to the appropriate specialist. Dr. Sunil Sheth, primary investigator, will highlight the study results.
A new multicenter study showed that up to 85% of aneurysms detected by AI had not been previously referred for follow-up to the appropriate specialist. Dr. Sunil Sheth, primary investigator, will highlight the study results.
Connect multi-disciplinary care teams earlier, coordinate care, and improve outcomes for patients.
Connect multi-disciplinary care teams earlier, coordinate care, and improve outcomes for patients.
