Intracranial Vascular Diagnostics
for Efficient Medical Triage
Deep learning for efficient triage and accessible screening. AI-powered detection to flag potential aneurysms and reduce diagnostic burden.
Why NeuroScan Matters
Critical Mortality Rates
Brain aneurysms often show no symptoms until rupture. Once ruptured, the mortality rate is approximately 50%.
The Cognitive Fatigue Problem
A landmark 2018 study analyzing 2.9 million radiology exams found diagnostic errors peaked after 10 hours into shifts. Error-containing shifts were associated with 76% higher volume of work.
Efficient Triage for Radiologists
Automated pre-screening flags obvious cases so radiologists can focus on complex findings, maintaining diagnostic quality regardless of workload.
Democratizing Healthcare Access
Compatible with older 1.5T MRI systems and portable low-field scanners, making advanced screening accessible to rural hospitals and underserved communities.
*Sources: 6.5 million prevalence and 30,000 annual ruptures based on common NIH/CDC estimates. Radiologist cognitive fatigue data from Hanna et al., Radiology 2018. Error rate volume correlation from Ivanovic et al., AJNR 2024. Sub-Saharan Africa radiologist shortage from Journal of Clinical Imaging Science 2012.
Benchmarks & Data
Our V5 model achieved 83.72% sensitivity, approaching the 95% sensitivity reported in clinical MRA studies (Sailer et al., 2014), despite working with significantly lower resolution data (64×64×64 voxels vs. clinical 512×512×200+ scans).
Clinical MRA Studies
~95%
NeuroScan V5 Sensitivity
83.72%
Room for Improvement
Higher-resolution training data, architectural refinements, and expanded datasets could help close this gap. This tool should complement, not replace, clinical judgment.
Validate the Findings
We believe in transparency. Download anonymized test samples (NIfTI format) to validate our model using the diagnostic tool below.
Individual Samples
Diagnostic Interface
Ready for 3D Volumetric Analysis