Abstract: A computer-implemented method for predicting vascular behavior of a patient, in particular a hemodynamic behavior. The method includes obtaining a vascular model of a circulatory system, one or more measurements of the vascular behavior of the patient, and a surrogate model comprising an artificial neural network. The vascular model represents a general vascular behavior and comprises a plurality of physiological parameters. The surrogate model is configured to predict a simulation of a vascular behavior from the physiological parameters. The method further includes calibrating the vascular model using the surrogate model and based on the one or more measurements; and predicting the vascular behavior of the patient using the calibrated vascular model.