Cardio4D
AI-based tool for analyzing CT scans
Cardio4D is a medical platform designed to support cardiologists with advanced tools for diagnosing heart disease. I joined the team to design an interface that could bring together real-time 3D modeling, flow simulations, and patient data in a way that felt clear, actionable, and clinically useful. The goal was to make highly technical cardiovascular data easier to interpret—so clinicians could focus less on navigating software and more on treating patients.
Client
Future Processing
Services
Workshops UI & UX Design
Industries
Healthcare
Date
2019
The Challenge
Cardiac diagnostics involve large volumes of complex data: imaging, simulations, segmentation, and patient-specific insights. The challenge was to present all of this in a way that supported fast decision-making, without sacrificing accuracy or overwhelming the user.
We needed a UI that felt seamless under pressure and supported the full diagnostic workflow, from data review to treatment planning.
My Approach
Working closely with medical experts and engineers, I designed an interface that combined automated artery segmentation, 3D visualizations, and advanced flow analysis into a single, unified experience.
The design focused on clarity: minimal distractions, smart defaults, and high-contrast visuals that helped surface what mattered most. I also worked on structuring the data layout to align with how clinicians naturally process cases, so key insights were always surfaced at the right time.
Impact
The new interface significantly improved how clinicians interacted with cardiovascular data:
3D models and flow simulations became easier to interpret and manipulate
Clinicians could make faster, more confident treatment decisions
The platform supported smoother diagnostic workflows in clinical settings
Overall user feedback highlighted clarity and speed