Abstract: A system and computer-implemented method are provided for segmenting an object in image data. For that purpose, a segmentation of the object is obtained, which segmentation includes image elements of the image data which are probable part of the object by a probability value of a respective image element exceeding a probability threshold. More specifically, during operation of the system and method, a first segmentation of the object is obtained using a first probability threshold and a second segmentation of the object is obtained using a second probability threshold. Both segmentations are visualized, which provides a user with a visual indication of how much, and in which way, the segmentation changes depending on the confidence. This way, qualitative feedback on the segmentation is provided to the user, which may increase the trust of the user in the segmentation and facilitate its adoption by the user.

Abstract: Some embodiments are directed to a method enabling surgical planning using a 3D model. A visibility specification may be determined for displaying the 3D model, the visibility specification comprising a rendering mode for the multiple segmented anatomic structures in the 3D model, wherein the rendering mode for the multiple segmented anatomic structures may be determined from the anatomic structure of interest and the zoom level.

Abstract: In one embodiment, a method for presenting information along plural stages of patient care, the method comprising: initializing an interactive flow diagram (88) based on data, the interactive flow diagram based on an underlying data model, the interactive flow diagram comprising nodes (92) comprising an aggregated visual representation of key-value pairs, columns (90) comprising a stacked bar visualization of the nodes, and links (16) between the nodes; displaying the interactive flow diagram; and dynamically updating the interactive flow diagram based on user interactions with the interactive flow diagram, the interactions resulting in updates to the underlying data model that change an arrangement of at least one of the nodes, the columns, or the links.

Abstract: In one embodiment, a method for presenting information along plural stages of patient care, the method comprising: initializing an interactive flow diagram (88) based on data, the interactive flow diagram based on an underlying data model, the interactive flow diagram comprising nodes (92) comprising an aggregated visual representation of key-value pairs, columns (90) comprising a stacked bar visualization of the nodes, and links (16) between the nodes; displaying the interactive flow diagram; and dynamically updating the interactive flow diagram based on user interactions with the interactive flow diagram, the interactions resulting in updates to the underlying data model that change an arrangement of at least one of the nodes, the columns, or the links.

Abstract: A system (100) for processing medical image data regarding a clinical question uses patient data (110), medical image data (120) and clinical guidelines (170). The system has a processor subsystem (160) to determine, based on user input (140), a use case regarding the clinical question for a patient. The processor retrieves the patient data and image data regarding the use case to determine an anatomical object. Then, the processor selects an algorithm from an algorithm repository (AM) based on the determined anatomical object and executes the algorithm on the image data to provide the output data for assessing the clinical question. The processor may also use the codified clinical guidelines regarding the use case to select said algorithm. Effectively the most appropriate algorithm is executed for the specific use case.

Abstract: A system, comprising: a memory comprising instructions; and one or more processors configured by the instructions to: receive AI results of an applied AI model, wherein the AI results are related to a region of interest; receive a reliability metric associated with the AI results; and determine whether to provide the AI results or hide the AI results based on the reliability metric.

Abstract: In one embodiment, a method performed by a computing device executing an analytics application used in conjunction with a patient management application, the method comprising: receiving workflows and events from the patient management application, the workflows and events corresponding to patient data; selectively processing the workflows and events in extract, transform, and load (ETL) pipelines responsive to trigger points in the workflows; and loading, by the ETL pipelines, data resulting from the selective processing into a data analytics data structure used to enable visualization of patient data and derived metrics or key performance indicators.

Abstract: The present invention relates to means and methods that can identify subjects, who have abnormal changes in airway epithelium and/or are at increased risk for developing an airway cancer, based on a combination of activities of signaling pathways in an epithelial cell sample derived from an airway of the subject. The signaling pathways comprise two or more signaling pathways selected from the group consisting of a TGF-? pathway, a P13K-FOXO pathway, and a Notch pathway.

Abstract: Presented are concepts for generating a subject-specific user interface for Clinical Decision Support. Once such concept comprises obtaining clinical reference information regarding established clinical knowledge, and also obtaining subject-specific clinical information regarding a subject. Clinical context information which describes a relevance or importance of at least one of a plurality of different clinical standards is determined. Based on the clinical reference information, the subject-specific clinical information and the clinical context information, a subset of the subject-specific clinical information relevant to a clinical decision is determined. At least one of: a user-interface component; and a user-interface element is defined based on the subset of the subject-specific clinical information.