Uses machine learning algorithms to automatically analyze coronary CT scans for plaque and stenosis.
Precisely measures plaque volume and composition, providing detailed metrics for risk assessment.
Generates risk scores based on scan data to stratify patients for heart disease.
Seamlessly integrates with hospital PACS, EHR, and other clinical systems for efficient workflow.
Produces detailed reports with visual aids and actionable insights for clinicians.
Backed by peer-reviewed studies and FDA clearance for clinical use.
Designed for easy navigation and use by healthcare professionals with minimal training.
Identifies at-risk patients through routine screenings before symptoms develop, enabling preventive measures.
Guides decisions on stents, bypass surgery, or medications based on precise anatomical data.
Assesses the effectiveness of treatments over time by tracking changes in plaque and stenosis.
Used for individuals with risk factors like high cholesterol or family history to monitor heart health.
Aids in studies by providing standardized data for cardiovascular disease research and trials.
Streamlines diagnosis processes by integrating with imaging systems, reducing turnaround times.
Helps patients visualize their heart health, improving understanding and adherence to treatment plans.
Provides objective data for underwriting, claims processing, and value-based care models.
Enables remote diagnosis and second opinions by sharing detailed scan analyses digitally.
Identifies trends and risk patterns across patient populations to inform public health strategies.
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