Multimodal AI Cardiac Risk Prediction

CardioVision 3D is an AI-powered 3D cardiac digital twin and multimodal risk prediction platform that transforms abstract medical test results into real-time spatial anatomical intelligence. Addressing cardiovascular disease—the world's leading killer—the platform fuses physiological vitals, lipid biochemistry, and resting ECG waveforms to predict coronary artery disease (CAD) risk and 10-year ASCVD likelihood. Rather than outputting a generic number, CardioVision 3D maps arterial stenosis directly onto an interactive 3D human heart, where the Left Anterior Descending (LAD "Widowmaker"), RCA, and LCx arteries dynamically change color and glow based on occlusion severity. The digital twin physically synchronizes its heartbeat contractions to the patient's actual heart rate in real time and features SHAP-based explainable AI to highlight key risk drivers alongside prioritized clinical triage directives. By bridging the gap between cryptic lab numbers and visual understanding, CardioVision 3D empowers patients and accelerates life-saving emergency cardiac triage.

Built With

• ai
• chart.js
• css3
• data
• git
• healthcare
• html5
• javascript
• learning
• machine
• multimodal
• python
• three.js
• visualization
• webgl