Clinical Validation

Saving Time, Improving Outcomes, and Increasing Access to Care

Nationwide Clinical Time Savings

Viz LVO has reduced time to treatment at 6 major US centers*. Reducing time to treatment improves patient outcomes.

Clinical Time Savings

*Froehler, M et al. STRATIS Registry.Circulation. 2017 and Viz customer data.1 Elijovich L, et al. Preliminary Data, Time Savings of Viz LVO first 100 patients. 2020. [Preliminary Analysis] Whaley M, et al. Use of Artificial Intelligence Shows Significant Reduction in Door to Skin Puncture Times at a Stroke Center. Sky Ridge Regional Medical Center. 2020. [Preliminary Analysis] Hassan, A et al. Early Experience Utilizing Artificial Intelligence Shows Significant Reduction in Transfer Times and Length of Stay in a Hub and Spoke Model (n. 43). International Stroke Conference 2020. Fifi, et al. Impact of Viz LVO on Time-to-Treatment and Clinical Outcomes in Large Vessel Occlusion Stroke Patients Presenting to Primary Stroke Centers. 2020. Strauss, et al. Reduction of Door-In Door-Out Times with Viz LVO at Piedmont Healthcare. 2020. [Preliminary Analysis] Eskioglu, et al. Reduction of Door to Needle Times with Viz LVO at Novant Health. 2020. [Preliminary Analysis]

LVO Clinical Impact Summary, A Multi-Center Review of Time Savings, Improved Outcomes, and Increased Access to Care. Presented by Dr. Ameer Hassan, Head of Neuroscience at Valley Baptist Medical Center.
Reduce LOS with Viz. 2.5 Fewer Days in the Hospital. 3.5 Fewer Days in the Neuro ICU. Elijovich L, et al. Preliminary Data, Time Savings of Viz LVO first 100 patients. 2020. [Preliminary Analysis]

Reducing Length of Hospital Stays

Reducing hospital length of stay (LOS) has been associated with decreased hospital costs and improved patient outcomes. Viz has been clinically proven to reduce length of stay.*

*Hassan, A et al. Early Experience Utilizing Artificial Intelligence Shows Significant Reduction in Transfer Times and Length of Stay in a Hub and Spoke Model (n. 43). International Stroke Conference 2020.

Learn More About Viz’s Impact at Valley Baptist Medical Center →

Improving Patient Outcomes

Viz’s technology is clinically proven to improve patient outcomes. Viz has demonstrated decreased NIHSS, Discharge mRS, and 90 day mrs in patients triaged with Viz.*

*Fifi, et al. Impact of Viz LVO on Time-to-Treatment and Clinical Outcomes in Large Vessel Occlusion Stroke Patients Presenting to Primary Stroke Centers. 2020.

Learn More About Viz’s Impact at Mount Sinai Medical Center →
Clinical Time Savings Chart
More Mechanical Thrombectomy Procedures

Increasing Access to Care

Viz has been clinically proven to increase the mechanical thrombectomy rate at partnering centers. By automatically detecting suspected strokes and notifying members of the stroke team, Viz quickly identifies candidates for mechanical thrombectomy and reduces the number of missed strokes at your center.*

*Whaley M, et al. Use of Artificial Intelligence Shows Significant Reduction in Door to Skin Puncture Times at a Stroke Center. Sky Ridge Regional Medical Center. 2020. [Preliminary Analysis]

Learn More About Viz’s Impact at Sky Ridge Medical Center →
World's Largest AI Detection Data Set

Real World LVO Performance

In CTAs from 2,544 consecutive patients across 139 US hospitals using scanners from multiple manufacturers,* Viz LVO has demonstrated 96% sensitivity and 94% specificity identifying LVOs. This is the only peer reviewed data describing the performance of AI powered stroke triage in the real world from any manufacturer.

*Shalitin et al. AI-powered stroke triage system performance in the wild. Journal of Experimental Stroke &Translational Medicine. 2020;12(3):03

Read the Journal Article →
Viz LVO Chart: Specificity of 96%, Specificity of 94%, LVO Prevalence 6% (163/2544). Patients from 139 Hospitals (n=2544) Citation: Shalitin et al. AI-powered stroke triage system performance in the wild. Journal of Experimental Stroke & Translational Medicine. 2020;12(3):03.
Dr. Quill Turk videoDr. Donald Frei videoMichelle Whaley video

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