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
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.
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).
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.
day reduction in hospital length of stay1
faster time-to-treatment decision2
faster than standard care3
Viz.ai makes imaging viewable right on my phone and allows me to not only confirm the occlusion, but simultaneously evaluate the rest of anatomy and scout any potential complications including carotid stenosis, vessel tortuously, and aortic arch type. I am planning the case and communicating that plan to my team well before the patient is on the table.
Viz alerts my team to all potential LVOs in our network and allows me to quickly view them on my phone. This is the new standard for stroke care.
Viz.ai is the singular most effective change that can improve quality of life for a neurointerventionalist with a busy stroke service.
New feature provides AI-enhanced 3D imaging to improve neurovascular visualization and streamline workflows SAN FRANCISCO – April 30, 2025 -...
Apr 30, 2025
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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
