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: 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.

Abstract: The invention relates to clinical decision support tool for supporting a decision based on a plurality of medical findings. The decision to be taken is by a multi-disciplinary team. The medical findings are based on different data sources and integrated to determine a complexity score, based on a consensus and/or conclusiveness of the medical findings. The medical findings and the complexity of the decision are displayed. A circular icon is used to display this information in an intuitive and simple manner. Multiple icons can be combined to arrive at a complexity score of a TNM staging decision.