Viz LVO

Viz LVO
VIZ.AI
Large-vessel occlusion detection; Workflow triage
Generally Available (GA)

Viz LVO is Viz.ai’s flagship AI module revolutionizing acute stroke care through automated detection of large vessel occlusions (LVO)—the most devastating form of ischemic stroke. With approximately 1.9 million neurons dying every minute during untreated stroke, Viz LVO’s rapid detection capabilities transform time-critical emergency workflows where minutes literally determine the difference between disability and functional recovery.
The Clinical Problem Viz LVO Solves
Large vessel occlusions block major cerebral arteries (internal carotid, middle cerebral, basilar), causing severe strokes requiring immediate mechanical thrombectomy. Traditional workflows create critical delays: radiologists must review CT angiography scans, interpret findings, contact neurologists, who then coordinate with interventional specialists—a sequential process that can consume 90-120 minutes. Communication gaps, after-hours coverage limitations, and competing priorities further slow response times, directly impacting patient outcomes.
How Viz LVO Works
Instant AI Analysis: The moment a brain CTA completes, Viz LVO’s deep learning algorithms—trained on hundreds of thousands of neurovascular images—automatically analyze arterial flow patterns, vessel opacification, hemispheric asymmetries, occlusion location, and collateral circulation. Analysis occurs within 1-3 minutes, operating 24/7 without fatigue.
Automated Triage & Alerts: Upon detecting suspected LVO, the system immediately sends HIPAA-compliant mobile notifications to the entire stroke team simultaneously—emergency physicians, neurologists, interventional neuroradiologists, stroke coordinators. Each alert includes anonymized patient data, vessel location, imaging snapshots, and direct study links, eliminating sequential communication delays.
Mobile-First Collaboration: Specialists review full CTA studies with advanced visualization tools on smartphones/tablets from any location. The platform enables 3D vessel manipulation, secure team messaging, real-time documentation, patient transfer coordination, and workflow tracking—allowing informed thrombectomy decisions without phone tag or secondhand descriptions.
Seamless Integration: Viz LVO connects directly to existing PACS and EHR systems without workflow disruption. It automatically monitors for new CTA studies, pulls patient data, documents alerts in medical records, and provides quality dashboards tracking alert volumes, response times, and outcomes.
Clinical Performance: Proven Results
Diagnostic Accuracy:

Sensitivity: 82-90% for LVO detection
Specificity: 88-95%, minimizing false positive alerts
Negative Predictive Value: >95%

These metrics meet or exceed international stroke imaging interpretation standards.
Time Savings That Save Brain Tissue:

30-40 minute average reduction from imaging to treatment
52 minute reduction in door-to-notification time
20 minute faster treatment decisions
Door-to-groin puncture reduced from 120+ to under 60 minutes in high-performing centers

Every 15-minute reduction correlates with improved functional independence at 90 days, reduced disability, and lower mortality.
Real-World Clinical Impact:

Increased thrombectomy identification rates, especially off-hours
Higher functional recovery rates (mRS 0-2 at 90 days)
Reduced severe disability and institutional care needs
Enhanced workflow efficiency and reduced clinician stress

Economic Value & Reimbursement
Viz LVO achieved CMS (Medicare) reimbursement approval through New Technology Add-On Payment (NTAP), confirming proven clinical value and cost-effectiveness. Health systems typically achieve positive ROI within 12-18 months through:

Reduced long-term disability costs (hundreds of thousands per patient)
Increased appropriate thrombectomy utilization
Workflow efficiency gains
Optimized transfer protocols

Who Should Implement Viz LVO
Comprehensive Stroke Centers: Optimize high-volume workflows, maintain consistent off-hours performance, track quality metrics, support resident training.
Primary Stroke Centers: Rapidly identify transfer candidates, coordinate with hub hospitals, provide expert-level detection without on-site specialists, meet certification requirements.
Telestroke Networks: Standardize triage across spoke hospitals, optimize hub resource utilization, enable data-driven network improvement.
Implementation Considerations
Technical Requirements: Cloud-based platform compatible with any PACS/EHR via HL7, DICOM, FHIR standards. Minimal IT infrastructure changes required.
Regulatory Status: FDA-cleared, extensively validated through peer-reviewed publications and real-world evidence from 1,700+ hospitals.
Support Included: Technical integration assistance, clinical workflow consulting, comprehensive team training, ongoing performance monitoring, 24/7 technical support.
Training: Minimal learning curve. 97% of users report preferring to work with Viz LVO active.
Why Viz LVO Over Alternatives
Unlike standalone detection tools, Viz LVO provides a complete workflow solution: automated detection + instant communication + mobile collaboration + quality tracking. Competitors may offer detection but lack integrated care coordination, require manual alert approval, or provide limited mobile functionality. Viz LVO’s proven deployment across 1,700+ diverse facilities demonstrates reliability at scale.
Critical Differentiators

After-hours consistency: AI never sleeps, democratizing expert-level detection 24/7
Network-ready: Seamless hub-spoke coordination for transfer decisions
Regulatory validation: CMS reimbursement approval confirms healthcare value
Complete solution: Detection through documentation in unified platform

Conclusion
For healthcare organizations seeking to modernize stroke care, reduce treatment delays, and improve patient outcomes, Viz LVO offers validated, scalable AI that transforms emergency neurovascular workflows. In stroke care where every minute matters, Viz LVO ensures no time is wasted—turning potential disability into functional recovery through intelligent automation that augments clinical expertise.

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