Publications

Viz™ ANEURYSM

Objective Machine learning algorithms have shown groundbreaking results in neuroimaging. The authors herein evaluated the performance of a newly developed...

Viz™ ICH

188 adult patients were identified during the study period. Time between identification of ICH to neurosurgical team notification was reduced...

Viz™ LVO

Within our spoke and hub system, Viz LVO significantly decreased all workflow metrics for patients who were transferred from spokes...

Viz™ ANEURYSM

In a retrospective evaluation of incidental aneurysms 2mm or larger in 1191 consecutive CTAs for stroke evaluation, 26% of AI-identified...

Viz™ ICH

Viz.ai more accurately estimates ICH volume than ABC/2 over a broad range of hematoma volumes when compared to standard semi-automated...

Viz™ LVO

In this multicenter cohort study, implementation of automated LVO detection with coupled care-team communication tool improved PSC transfer performance by...

Viz™ LVO

Consistent with our initial 6 month post-implementation pilot, we noted sustainability over a 17 month period with sustained reduction in...

Viz Recruit

Prior to implementation of the AI-based software, there were 5 patients enrolled (0.99 patients/month). After implementation of the software for...

Viz™ CTP

Comparison of scores for identifying patients with vertebrobasilar occlusions who may benefit from EVT.