1. A computer-implemented method for visualizing medical image data, comprising: extracting a feature vector from the medical image data, metadata associated with the medical image data, patient data associated with the medical image data, or a combination thereof; supplying the feature vector as input to a machine learned model configured to predict which one of a plurality of applications is to be selected by a user, wherein each of the plurality of applications comprises a pre-processing algorithm for pre-processing the medical image data and a corresponding advanced visualization process, the pre-processing algorithm reduces subsequent processing time for the corresponding advanced visualization process; receiving an algorithm identifier as output from the machine learned model, the algorithm identifier identifying a selected pre-processing algorithm of a predicted selection of the user from the plurality of applications, wherein the predicted selection is generated by the machine learned model before obtaining a user selection; and applying the selected pre-processing algorithm to the image data before applying the corresponding advanced visualization process of the predicted selection when the predicted selection corresponds to the user selection.