Cardiovascular diseases remain the leading cause of mortality worldwide. Early risk detection, timely intervention, and clear patient communication are critical in preventing adverse outcomes.
This platform bridges the gap between machine learning diagnostics and medical visualization. By analyzing patient physiological parameters and clinical biomarkers, the system predicts coronary artery disease (CAD) and assesses overall cardiac risk. Instead of presenting raw numerical risk scores alone, it maps real-time predictive insights directly onto an interactive 3D human anatomical model, providing clinicians and patients with an intuitive, spatial understanding of cardiovascular health.
Key Features
Predictive Risk Assessment: Evaluates patient vitals, diagnostic values, and lifestyle factors using predictive models to compute coronary artery disease risk and overall cardiovascular vulnerability.
Interactive 3D Anatomical Mapping: Dynamically reflects patient risk profiles onto a 3D cardiovascular and anatomical model, highlighting vulnerable vascular regions and critical areas of concern.
Patient Intake & Data Management: Streamlined clinical intake workflow (/patients/new) for logging patient vitals, demographics, and lab results seamlessly.
Visual Clinical Decision Support: Empowers clinicians to interpret multi-dimensional data at a glance while serving as an educational visual aid during patient consultations.
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