Abstract: A computer-implemented method for the further training of an artificial-intelligence evaluation algorithm that has already been trained based upon basic training data, wherein the evaluation algorithm ascertains output data describing evaluation results from input data comprising image data recorded with a respective medical imaging facility. In an embodiment, the method includes ascertaining at least one additional training data set containing training input data and training output data assigned thereto; and training the evaluation algorithm using the at least one additional training data set. The additional training data set is ascertained from the input data used during a clinical examination process with a medical imaging facility, which the already-trained evaluation algorithm was used, and output data of the already-trained evaluation algorithm that has been at least partially correctively modified by the user.

Abstract: A method is for operating a system for contrast-agent based medical imaging including a medical imaging device and a contrast-agent-injection device. In an embodiment, the method includes outputting a first operating element for operating the medical imaging device via a touch-sensitive screen; inputting a first piece of information for operating the medical imaging device via the touch-sensitive screen using the first operating element; outputting a second operating element for operating the contrast-agent-injection device via the touch-sensitive screen; and inputting a second piece of information for operating the contrast-agent-injection device via the touch-sensitive screen using the second operating element.

Abstract: In a method for storing and providing medical image data in a distributed, computer-based system of a clinical facility comprising multiple satellites, wherein a satellite has at least one modality, an image administration server and at least one local database, and wherein the clinical facility also has a central database for the administration of the stored image data and a central long-term storage for long-term storage, the image data are acquired at the modality, the image data include metadata and pixel data, partial metadata in the metadata of the acquired image data are marked, at least the metadata of the image data acquired are locally stored at the respective satellites, the image data of the image data acquired at the respective satellites are centrally stored in the central long-term storage, all metadata stored in the local database in the central database are completely, centrally replicated, and the marked partial metadata of the image data from the central database are partially, automaticall

Abstract: In a method for storing and providing medical image data in a distributed, computer-based system of a clinical facility comprising multiple satellites, wherein a satellite has at least one modality, an image administration server and at least one local database, and wherein the clinical facility also has a central database for the administration of the stored image data and a central long-term storage for long-term storage, the image data are acquired at the modality, the image data include metadata and pixel data, partial metadata in the metadata of the acquired image data are marked, at least the metadata of the image data acquired are locally stored at the respective satellites, the image data of the image data acquired at the respective satellites are centrally stored in the central long-term storage, all metadata stored in the local database in the central database are completely, centrally replicated, and the marked partial metadata of the image data from the central database are partially, automaticall