cardiac-health — See the Risk Before It Strikes
Imagine a world where cardiovascular risks can be understood through intelligent technology. Introducing cardiac-health an AI-powered cardiovascular risk prediction and visualization system that combines machine learning, IoT-based sensors, and interactive 3D heart modeling.
Our solution analyzes clinical parameters to predict coronary artery disease risk and assess potential stenosis in three major coronary arteries: LAD, LCX, and RCA. With hardware integration, sensors can capture real-time physiological measurements, while an intelligent dashboard combines available patient data with AI predictions. An interactive 3D heart visualizes the results, helping users understand potential risk areas, while explainable AI highlights the factors influencing each prediction.
Unlike traditional dashboards that display only numbers, cardiac-health transforms complex medical data into an intuitive visual experience. Our goal is to make cardiovascular risk information more accessible, interpretable, and useful for research and clinical decision support.
cardiac-health doesn't just show data—it helps people see what the data could mean.
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