Abstract: Embodiments relate to processing of medical data, in particular image data of medical images and related medical reports for automated generation of a draft report for a newly recorded medical image. The image elements relating to corresponding documentation elements for a former medical image are mapped to image elements in the newly recorded medical image, and based on this mapping, an automated generation of the draft of the medical report of the newly recorded medical image is performed.

Abstract: A computer-implemented method for providing an observable indicating a medical diagnosis, comprises: obtaining an image data series of a patient, wherein the image data series has a number of medical image datasets, which have each been recorded over a period of time at different points in time; extracting a time series from the medical image data series; determining the observable based on the time series; and provisioning the observable.

Abstract: The present invention relates to systems, methods and computer programs for training and using a machine learning model to generate synthetic contrast-enhanced computed tomography images with the help of magnetic resonance contrast agents.

Abstract: Systems, methods, and computer programs disclosed herein relate to training and using a machine learning model to generate contrast-enhanced magnetic resonance images.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: A computer-implemented method for providing information about a state of health of a patient may include: receiving a plurality of patient information of the patient by means of an interface, ascertaining health information about the patient by means of a computing unit as a function of the plurality of patient information and a first function, and checking whether a trigger condition is fulfilled based on the ascertained health information about the patient, as well as providing the ascertained health information about the patient as a function of the trigger condition.

Abstract: A system is for supporting evaluation of a medical image data set. The system includes an interface unit to provide a display of a medical image data set, visualize an evaluation tool, visualize at least one result of an evaluation function, and receive user input relating to navigating the evaluation tool in the medical image data set to a region of interest, and selecting at least one of the evaluation functions. The system further includes a computing unit to process the user input to navigate the evaluation tool, perform the at least one evaluation function, and generate a visualization of at least one result of the evaluation function. The at least one result is adapted to be visualized as an overlay to the displayed image data set and/or evaluation tool.

Abstract: A system is for supporting evaluation of a medical image data set. The system includes an interface unit to provide a display of a medical image data set, visualize an evaluation tool, visualize at least one result of an evaluation function, and receive user input relating to navigating the evaluation tool in the medical image data set to a region of interest, and selecting at least one of the evaluation functions. The system further includes a computing unit to process the user input to navigate the evaluation tool, perform the at least one evaluation function, and generate a visualization of at least one result of the evaluation function. The at least one result is adapted to be visualized as an overlay to the displayed image data set and/or evaluation tool.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.