AI RESEARCH
Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis
arXiv CS.LG
•
ArXi:2604.03197v1 Announce Type: new Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for health tracking and early detection of cardiovascular diseases. While 1-D arterial models offer an attractive compromise between computational efficiency and solution fidelity, their application on large populations or for generating large \emph{in silico} cohorts remains challenging.