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 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: In a method and system to prepare medical 2D or 3D data, in particular 2D or 3D image data acquired by means of computed tomography, a data set composed of medical 2D or 3D data is segmented with predeterminable first segmentation parameters, so a first data set with segmented data and a second data set with data complementary to the first data set are generated and stored. Predeterminable color or grey value tables (known as presets) are provided that respectively associate colors or grey values with individual data value ranges. Respective presets are automatically associated with the first data set and the second data set. At an output unit, at least one slice or volume image of the first and/or second data set is presented as a resulting image/resulting images in colors/grey scales according to the associated presets.

Abstract: In a method and system to prepare medical 2D or 3D data, in particular 2D or 3D image data acquired by means of computed tomography, a data set composed of medical 2D or 3D data is segmented with predeterminable first segmentation parameters, so a first data set with segmented data and a second data set with data complementary to the first data set are generated and stored. Predeterminable color or grey value tables (known as presets) are provided that respectively associate colors or grey values with individual data value ranges. Respective presets are automatically associated with the first data set and the second data set. At an output unit, at least one slice or volume image of the first and/or second data set is presented as a resulting image/resulting images in colors/grey scales according to the associated presets.