Real-time estimation of thrombotic risk in the left atria interacting with medical devices

The main goal of this project would be to estimate the risk of thrombosis in the left atria of atrial fibrillation patients with different occluder device configurations in real-time. The most recent version of Ansys will be used with a simplified version of the geometry and the device and also deep-learning surrogates of fluid simulations so that the user can quickly observe the effect of changing device settings.

Supervisors: Oscar Camara, Jordi Mill, Xabier Morales