BrainCT-ICH
BrainCT-ICH identifies various types of hemorrhages using a slice-by-slice analysis model.
This AI module automates detection of anomalies in CT scans across multiple body parts, improving accuracy and reducing diagnostic load.
Detectable Areas
- Chest
- Head
- Shoulder
- Neck
- Abdomen
- Pelvis
- Extremities
- Spine
Highlights
• ≤ 3 mins/scan abnormality detection
• Trained on de-identified, high-quality data
• Compatible with HIS and PACS
• Supports 3D CNN-based predictions
Our Product Suite
Orion CXR
Reads a standard chest X-ray for 13 critical findings, flags them for a qualified reader and drafts the report.
Imaging Workflow
Provides a comprehensive, cloud-based infrastructure for managing patient data, imaging studies, and diagnostic workflows—securely and efficiently.
Seamless Integration with Hospital Systems
HL7 ORM & ORU
Messaging
FHIR
Compatibility
HIS/PACS
Interoperability
Cloud Agnostic
security & scalability
Reporting Tool Powered by GenAI
Automated, Structured Diagnostic Reports
Trained on real-world CT scans and expert-authored reports, this tool transforms AI insights into clinically accurate radiology reports
Key Features
- Vision-language transformer model
- BLEU Score: 50+ (high-quality report generation)
- Generates both observations and impressions
- Fully integrates into PACS/HIS for notification workflows
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