The Problem We Solve
Leading Cause of Death
Stroke remains one of the leading causes of death and disability worldwide, often linked to undetected cerebral aneurysms or arterial stenosis.
Incomplete Diagnostics
Traditional imaging focuses only on vascular morphology, neglecting critical hemodynamic alterations that influence stroke risk.
Delayed Detection
Current methods lack speed and automation, delaying early intervention for at-risk patients.
Our AI-Powered Solution
Three integrated AI models work together to transform MRA scans into actionable stroke risk predictions in real-time.
Vessel Segmentation (2.5s)
3D U-Net extracts cerebrovascular anatomy from MRA scans with 98% accuracy, identifying aneurysms and stenosis automatically.
CFD Surrogate Modeling (15s)
Physics-informed neural network computes hemodynamic biomarkers—velocity, pressure, and wall shear stress—1000× faster than traditional CFD.
Risk Prediction (1.5s)
Ensemble AI classifier combines morphology + hemodynamics to predict stroke risk with 89% accuracy and highlights high-risk zones.
~19 Seconds
From MRA scan to clinical report
vs. Traditional CFD
1000× Faster
Platform Features
Real-time 3D Visualization
Interactive vascular reconstruction with full rotation, zoom, and transparency controls.
Hemodynamic Mapping
Color-coded velocity, pressure, and WSS visualizations for complete flow assessment.
Risk Highlighting
Automatically identifies and highlights aneurysms, stenosis, and disturbed flow regions.
Clinical Tools
Slice viewer, measurement tools, and flow animations for detailed examination.
Medical Format Support
Native support for .nii and .dcm formats with metadata extraction.
Personalized Reports
Comprehensive risk assessment supporting personalized cerebrovascular intervention.