Upload a DICOM CT brain scan and get an AI-powered hemorrhage probability score, Grad-CAM heatmap visualization, and automated clinical triage report — instantly.
From raw DICOM upload to clinical-grade report in under a minute.
Upload a .dcm file or a .zip archive of hundreds of slices. The pipeline handles CT windowing, preprocessing, and inference on every slice automatically.
Our EfficientNet-B4 model outputs probability scores calibrated with temperature scaling, so a 90% score actually means 90%.
Gradient-weighted class activation maps overlay on every scan, highlighting the exact regions that drove the model's hemorrhage prediction.
Each scan triggers a Groq-powered LLM that generates a human-readable clinical narrative with triage action and urgency classification.
Built-in evaluation dashboard with ROC curves, calibration plots, and confidence band analysis to track model performance over time.
Every user gets their own isolated data directory. All uploads are user-scoped and access-controlled with rate limiting and audit logs.
The entire pipeline runs in the background — you just upload and wait.
Upload a .dcm slice or a .zip batch. Single exams or full series are both supported.
EfficientNet-B4 scores each slice for ICH probability with calibrated confidence.
Gradient-weighted heatmaps highlight regions driving the hemorrhage prediction.
Auto-generated PDF report with findings, confidence bands, and triage action.
Create a free account and upload your first scan in under a minute.