Cardio4D Heart Model

Cardio4D

Cardio4D simplifies structural heart planning by transforming standard CT scans into predictive digital twins. By combining AI-driven reconstruction with physics-based modeling, our platform provides the mechanistic insights needed to evaluate risks and tailor patient-specific treatments. From secure upload to 4D biomechanical analysis, we offer a unified workflow designed to elevate the standard of cardiac care.

Transforming Structural Heart Interventions

Our AI-powered platform delivers end-to-end cardiac analysis through three core capabilities.

Digital Twin Technology

AI-automated 3D anatomy reconstruction for accurate anatomical visualization and measurements.

Functional Prediction

Simulate biomechanical responses to optimize pre-operative planning.

Seamless Workflow

Bringing the lab to the bedside with seamless, secure, cloud-based results.

Cardio4D in Action

See how our platform addresses critical challenges in structural heart care.

AI-Driven 3D Anatomy Reconstruction for Visualization and Measurements

3D Anatomy Reconstruction
  • Deep-learning segmentation with fast and accurate reconstruction.
  • Automated mesh generation of the heart for all cardiac phases.
  • Captures complex, hard-to-segment anatomy, e.g. valve leaflets, subvalvular structures.
  • Semi-auto or manual measurements for clinical evaluations.

Thoracic Aortic Aneurysm (TAA) Rupture Risk Analysis

TAA Rupture Risk Analysis
  • AI-automated 3D anatomy reconstruction for accurate anatomical evaluation.
  • Biomechanical simulation to quantify wall stress.
  • Rupture risk prediction based on patient-specific biomechanics.
  • Growth-rate assessment using CT scans from multiple time points.
  • Intuitive risk reporting to support decisions on surgical repair vs continued monitoring.

Predictive Pre-operative Planning for Medical Devices (PPP)

  • Transcatheter Aortic Valve Replacement (TAVR) and Transcatheter Mitral Valve Repair and Replacement (TMVR).
  • Semi-auto and manual critical measurement parameters.
  • Virtual implantation to assess procedure feasibility.
  • Biomechanical simulation to analyze device efficacy.
  • Patient-specific outcome prediction to evaluate device suitability and identify potential risks (leakage, LVOT obstruction, etc).