Cardiovascular hemodynamics

Noninvasive Stenosis Diagnosis

• Overcomes limitations of invasive techniques like coronary angiography.

• Reduces costs associated with traditional diagnostic methods.

• Mitigates risks linked to invasive procedures for patients.

Tailored Outflow Boundary Conditions

• Provides precise outflow boundary conditions for stenosis diagnosis.

• Novel use of 1D PINN for initial conditions, enhancing diagnostic accuracy.

• Utilizes physiology and physics, reducing dependency on extensive data.

Conceptual Model-Proof Stage

• Minimizes reliance on extensive datasets for model verification.

• Grounded in physiological principles, ensuring realistic simulations.

• IREC approval was obtained for patient data collection and ethical considerations.

• Physics Informed Neural Network (PINN) for 3D transient hemodynamic simulation in cardiovascular system