FDA-Cleared AI Technology

AI-Powered Stroke Detection That Saves Lives

Revolutionary artificial intelligence that detects large vessel occlusions (LVO) with 94% accuracy in under 3 minutes, enabling immediate treatment decisions and dramatically improving patient outcomes.

Proven Clinical Performance

Based on extensive clinical validation across 200+ hospitals and analysis of over 500,000 CT scans

94.2%

Detection Accuracy

LVO identification sensitivity validated across multiple studies

< 3 min

Processing Time

From image acquisition to alert notification

< 5%

False Positive Rate

Minimizing unnecessary activations and maintaining trust

67%

Time Reduction

Decrease in door-to-groin time for thrombectomy patients

How AI Stroke Detection Works

Advanced deep learning algorithms analyze CT and CTA images in real-time, identifying stroke patterns that might be missed or delayed in traditional workflows.

1. Automatic Image Analysis

AI algorithms automatically analyze incoming CT and CTA scans for signs of large vessel occlusion

DICOM integration with existing PACS systems
Real-time processing without workflow disruption
Multi-vendor scanner compatibility

2. Intelligent Detection

Deep learning models identify LVO patterns, calculate ASPECTS scores, and detect hemorrhage

Large vessel occlusion detection and localization
Automated ASPECTS scoring for treatment eligibility
Hemorrhage detection and classification

3. Instant Alerts

Immediate notifications to stroke teams with detailed findings and treatment recommendations

Multi-channel notifications (SMS, email, app)
Customizable alert thresholds and escalation
Integration with hospital communication systems

Clinical Evidence & Research

Extensive peer-reviewed research demonstrates the clinical impact and effectiveness of AI stroke detection

NEJM Study

AI-Assisted Stroke Diagnosis in Emergency Settings

Multicenter randomized controlled trial demonstrating improved outcomes with AI assistance

Key Findings:

• 38% reduction in door-to-groin time (p<0.001)
• 23% increase in good functional outcomes (mRS 0-2)
• 94.2% sensitivity for LVO detection
• 4.8% false positive rate

Study Population: 1,242 patients across 15 comprehensive stroke centers
Follow-up: 90 days

Read Full Study

Lancet Study

Real-World Implementation of AI Stroke Detection

Large-scale observational study across 50 hospitals over 24 months

Implementation Results:

• 67% reduction in time to thrombectomy decision
• 45% decrease in missed LVO cases
• $2.4M average annual cost savings per hospital
• 96% physician satisfaction rate

Study Population: 8,456 stroke patients
Implementation Period: 24 months

Read Full Study

Additional Clinical Research

Journal of Stroke

AI Detection Accuracy Meta-Analysis

15 studies, 12,847 patients

View Study

Stroke Journal

Economic Impact Analysis

Cost-effectiveness study

View Study

Radiology

AI vs Radiologist Performance

Comparative effectiveness

View Study

Implementation Process

Seamless integration with your existing infrastructure with minimal disruption to clinical workflows

Assessment & Planning

Technical assessment of existing infrastructure and customized implementation planning

Duration: 1-2 weeks

System Integration

PACS integration, network configuration, and security compliance setup

Duration: 2-3 weeks

Training & Testing

Comprehensive staff training and system validation with test cases

Duration: 1-2 weeks

Go-Live & Support

System activation with 24/7 technical support and performance monitoring

Duration: Ongoing

Ready to Transform Stroke Detection?

Join 200+ hospitals worldwide that have revolutionized their stroke care with AI-powered detection. Schedule a demo to see how our technology can improve outcomes at your facility.