A device for optimizing an image acquisition device, the device including: at least one electronic processor operatively connected to read a machine log of the image acquisition device; and a non-transitory computer readable medium storing instructions readable and executable by the at least one electronic processor to perform an image acquisition method including: extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; controlling the tuned image acquisition device to acquire one or more images of a patient; and characterized in that the image acquisition method further comprises: applying a service recommender model to the one or more out-of-range parameters to generate service recommendations for the image acquisition device; and displaying the service recommendations generated by the service recommender model on a display device, and wherein the service recommender model comprises a machine learned model trained on training data comprising sets of logged parameters labeled with image quality values for images acquired by the image acquisition device using the sets of logged parameters. at least one electronic processor operatively connected to read a machine log of the image acquisition device; and a non-transitory computer readable medium storing instructions readable and executable by the at least one electronic processor to perform an image acquisition method including: extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; controlling the tuned image acquisition device to acquire one or more images of a patient; extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; controlling the tuned image acquisition device to acquire one or more images of a patient; and characterized in that the image acquisition method further comprises: applying a service recommender model to the one or more out-of-range parameters to generate service recommendations for the image acquisition device; and displaying the service recommendations generated by the service recommender model on a display device, and wherein the service recommender model comprises a machine learned model trained on training data comprising sets of logged parameters labeled with image quality values for images acquired by the image acquisition device using the sets of logged parameters. applying a service recommender model to the one or more out-of-range parameters to generate service recommendations for the image acquisition device; and displaying the service recommendations generated by the service recommender model on a display device, and wherein the service recommender model comprises a machine learned model trained on training data comprising sets of logged parameters labeled with image quality values for images acquired by the image acquisition device using the sets of logged parameters.