
Scaida
BrainCT-ICH
BrainCT-ICH identifies various types of hemorrhages using a slice-by-slice analysis model.
Enhanced Brain Imaging Interpretation for confident diagnosis and accelerated decision-making


BrainCT is an advanced AI module built specifically to assist neuroradiologists in the interpretation of non-contrast brain CT scans. Powered by deep learning and semantic segmentation, it delivers pixel-level insights into brain structures and pathology, ensuring faster diagnosis, reduced error rates, and consistent reporting across institutions.
• Structural anomalies: Atrophy, edema, mass effects
• Early signs of stroke and infarcts
• Midline shifts and abnormal density patterns
• Post-operative and traumatic changes
• Emergency departments
• Stroke assessment units
• High-volume neuroimaging centers


Scaida
BrainCT-ICH identifies various types of hemorrhages using a slice-by-slice analysis model.

Reads a standard chest X-ray for 13 critical findings, flags them for a qualified reader and drafts the report.
Provides a comprehensive, cloud-based infrastructure for managing patient data, imaging studies, and diagnostic workflows—securely and efficiently.
Messaging
Compatibility
Interoperability
security & scalability

Trained on real-world CT scans and expert-authored reports, this tool transforms AI insights into clinically accurate radiology reports

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