Medical AI Diagnostic
Clinical Grade
Featured
AVIEW CAC
Coronary Artery Calcification Analysis - Automated CAC Scoring for Cardiovascular Risk Assessment
PACS / DICOM Compatible
HIPAA / GDPR
Clinical Overview & Details
99.2% Accuracy in Coronary Artery Calcification Detection
Coronary Artery Disease is the leading global cause of mortality. It can be detected by calcification analysis from CT examination. Medical AI technology achieves high accuracy of 99.2% in coronary artery calcification detection.
Key Features:
- Automated CAC score calculation (Agatston, Volume, Mass)
- Detection from both cardiac CT and chest CT
- Cardiovascular risk assessment and stratification
- Workflow automation to reduce examination time
- Enhanced patient communication tools with visual reports
- Support for clinical research with detailed analytics
- Integration with existing PACS systems
Key Highlights & Benefits
Rapid Automated Processing
Accelerates radiological reading speed while minimizing diagnostic errors.
Subtle Anomaly Detection
Identifies early-stage findings with deep learning neural networks.
Seamless PACS Integration
Integrates directly into hospital workflows without workflow disruption.
Quantitative Metrics
Generates automated volumetric and progression tracking metrics.
Request Live Demonstration
Experience AVIEW CAC with your clinical team. Schedule a custom evaluation.
Technical Specification
Modality
CT / MRI / X-Ray
Deployment
Cloud / On-Premise
Protocol
DICOM 3.0 / HL7
Data Security
End-to-End Encrypted