Cardio4D
Cardio4D is an advanced medical platform that uses AI-driven simulations to model blood flow through cardiovascular structures based on CT scan data. By transforming static imaging into dynamic, data-rich visualizations, the platform helps clinicians better understand hemodynamics and assess potential risks before they become critical.
The Challenge
Cardiovascular CT scans contain vast amounts of data, but:
Blood-flow behavior is inherently complex and hard to interpret
Important indicators such as wall shear stress or flow anomalies are not obvious in static images
Existing tools were often too technical, fragmented, or visually overwhelming
Clinicians needed results that were both scientifically accurate and clinically actionable
My Role & Approach
As a Product Designer, I worked on shaping the end-to-end experience of the platform, focusing on clarity, precision, and confidence in decision-making.
Key design priorities included:
Translating complex AI simulation outputs into clear, interpretable visualizations
Helping design interactive 3D views that allow doctors to explore blood-flow behavior in context
Supporting side-by-side comparisons of different parameters and views
Reducing cognitive load through strong hierarchy, contrast, and focused interaction tools
Ensuring outputs could be easily exported into structured medical reports
Result
Cardio4D bridges the gap between advanced AI simulations and real-world clinical decision-making while transforming CT scans into clear, dynamic, and clinically meaningful insights that help doctors better understand cardiovascular risk and plan treatment with greater confidence.