PREDICTING VASCULAR BEHAVIOR USING A VASCULAR TWIN

    公开(公告)号:US20240354475A1

    公开(公告)日:2024-10-24

    申请号:US18641104

    申请日:2024-04-19

    CPC classification number: G06F30/28 A61B5/026 A61B5/7264 A61B5/7475

    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.

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