Radiology scan of a large vessel occlusion (LVO) stroke

Viz LVO

The leader in AI-powered stroke care coordination

Request a demo
Picture collage of a doctor and nurse looking at their phones

Introducing Viz 3D CTA™

A Dynamic 360° View for Enhanced Vessel Clarity

AI-Enhanced 3D Imaging
Clear, unobstructed views of the neurovasculature by removing bone and venous noise

Interactive Tools
Allows freeform manipulation to better assess distal and complex vessels

Streamlined Workflow
Automates 3D processing to save time and improve workflow efficiency

lvo-inset

Use the most reliable AI-powered triage software

Viz LVO auto-detects suspected large vessel occlusions within seconds of image acquisition. 90% of alerts are reviewed by the intended specialist within 5 minutes.

Improve stroke team coordination and patient outcomes simultaneously

Use of Viz LVO has been shown to significantly decrease critical stroke care metrics—including door-to-transfer, door-to-puncture, and door-to-recanalization—while improving Modified Rankin Scores (mRS).

Coordinate care across your network

Installed in over 1,700 hospitals globally, Viz LVO enables HIPAA-compliant image review, care plan discussions, and streamlined transfer decisions across primary and comprehensive stroke centers.

Demonstrated Time Savings leads to Improved Outcomes

2.5

day reduction in hospital length of stay1

73%

faster time-to-treatment decision2

52 minutes

faster than standard care3

Clinical study

Should they stay or should they go? Stroke transfers across a hospital network pre- and post-implementation of an automated image interpretation and communication platform

The implementation of an automated image interpretation and communication platform was associated with increased CTA use, more transfers treated with EVT, and potential economic benefits.

View publication

What our customers are saying

Schedule a meeting

Experience the power of AI

See for yourself how you can harness the power of AI to accelerate patient access to care through AI-powered care coordination.

References:
1. Hassan AE, Ringheanu VM, Rabah RR, Preston L, Tekle WG, Qureshi AI. Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model. Interv Neuroradiol. 2020;26(5):615-622. 2. Elijovich L, Dornbos Iii D, Nickele C, et al. Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care. J Neurointerv Surg. 2022;14(7):704-708. 3. Viz LVO De Novo Clearance Letter DEN170073