Abstract: Systems and methods for determining a concordance between results of medical assessments are provided. Results of a medical assessment of a first type for an anatomical object of a patient and results of a medical assessment of a second type for the anatomical object are received. The results of the medical assessment of the first type are converted to a hemodynamic measure. A concordance analysis between the results of the medical assessment of the first type and the results of the medical assessment of the second type based on the hemodynamic measure is performed. Results of the concordance analysis are output.

Abstract: Machine-based risk prediction or assistance is provided for peri-procedural complication, such as peri-procedural myocardial infarction (PMI). A machine-learned model is used to predict risk of PMI and/or recommend courses of action to avoid PMI in PCI. Various combinations of types or modes of information are used in the prediction, such as both imaging and non-imaging data. The prediction may be made prior to, during, and/or after PCI using the machine-learned model to more quickly reduce the chance of PMI. The workflows for prior, during, and/or post PCI incorporate the risk prediction and/or risk-based recommendations to reduce PMI for patients.

Abstract: Systems and methods for determining a concordance between results of medical assessments are provided. Results of a medical assessment of a first type for an anatomical object of a patient and results of a medical assessment of a second type for the anatomical object are received. The results of the medical assessment of the first type are converted to a hemodynamic measure. A concordance analysis between the results of the medical assessment of the first type and the results of the medical assessment of the second type based on the hemodynamic measure is performed. Results of the concordance analysis are output.

Abstract: A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.

Abstract: Machine-based risk prediction or assistance is provided for peri-procedural complication, such as peri-procedural myocardial infarction (PMI). A machine-learned model is used to predict risk of PMI and/or recommend courses of action to avoid PMI in PCI. Various combinations of types or modes of information are used in the prediction, such as both imaging and non-imaging data. The prediction may be made prior to, during, and/or after PCI using the machine-learned model to more quickly reduce the chance of PMI. The workflows for prior, during, and/or post PCI incorporate the risk prediction and/or risk-based recommendations to reduce PMI for patients.

Abstract: An embodiment of a method includes providing a first result list indicating a plurality of first anatomic structures and indicating, for each respective first anatomic structure of the plurality of first anatomic structures, a corresponding first severity indicator; providing a second result list indicating, for each respective second anatomic structure of the plurality of the second anatomic structures, a corresponding second severity indicator; providing a relationship matrix indicating a level of interrelatedness between the first anatomic structures and the second anatomic structures; and generating, based on the first result list provided, on the second result list and on the relationship matrix provided, a concordance visualization indicating a respective level of concordance between at least one of the first anatomic structures and the corresponding first severity indicator, and indicating a respective level of concordance between at least one of the second anatomic structures and the corresponding sec

Abstract: A system operable to transmit healthcare data to a user device is provided. The system maintains data representing a first directed graph, representing at least part of a medical guideline, in a database and a plurality of patient models including healthcare data. An element is selected from the first directed graph by processing the models and the data. Based on a combination of the selected element and the plurality of patient models, a first and second patient cohort are identified, treatment of the first patient cohort having deviated from the at least part of a medical guideline at the selected element. At least one patient cohort characteristic distinguishing the first patient cohort from the second patient cohort is determined by processing the patient models. A second directed graph is generated, based on at least the at least one identified patient cohort characteristic, and transmitted for receipt by the user device.

Abstract: A computer-implemented method and a system are for performing or supporting a medical task. An embodiment of the method includes obtaining a medical task and obtaining values for data fields of a number of available data fields. The method further includes determining whether an insufficient data field is present; and, if such a field is present, determining a relevance metric for the medical task, for the insufficient data field and/or the value thereof. Further, the method includes providing, via an estimator function, at least two different values for the insufficient data field; calculating at least two results for the medical task, which are based on the at least two different values provided; determining whether the relevance metric determined reaches or exceeds a relevance threshold value and, if this is the case, outputting an output signal based on the at least two results calculated.

Abstract: An embodiment of a method includes providing a first result list indicating a plurality of first anatomic structures and indicating, for each respective first anatomic structure of the plurality of first anatomic structures, a corresponding first severity indicator; providing a second result list indicating, for each respective second anatomic structure of the plurality of the second anatomic structures, a corresponding second severity indicator; providing a relationship matrix indicating a level of interrelatedness between the first anatomic structures and the second anatomic structures; and generating, based on the first result list provided, on the second result list and on the relationship matrix provided, a concordance visualization indicating a respective level of concordance between at least one of the first anatomic structures and the corresponding first severity indicator, and indicating a respective level of concordance between at least one of the second anatomic structures and the corresponding sec

Abstract: A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.

Abstract: A system operable to provide healthcare data to a user device in a healthcare network includes a plurality of data sources including healthcare data. The system maintains a first plurality of associations between a first plurality of the data sources and healthcare data stored therein. In response to a request for healthcare data from the user device, the system determines whether the requested healthcare data can be retrieved based on the first plurality of associations. If the requested healthcare data cannot be retrieved, the system causes a second association in relation to a second data source including the requested healthcare data to be detected and stored. The system retrieves the requested healthcare data from the second data source and transmits it for receipt by the user device.

Abstract: A computer-implemented method, a device, a system and a computer program are disclosed for three-dimensional displaying of medical body structures within the framework of a medical procedure, in particular cardiac surgery, wherein movement information is derived from a dynamic image of a body structure to be examined. In at least one embodiment, movement information is derived from vector analysis. After acquiring a static image of the respective body structure, vector analysis is applied to the static image to derive a modified static image with movement information of the body structure. The static image can then be displayed after it has moved.

Abstract: At least one embodiment of the present invention relates to a method, a device and/or a computer program product for creating a (three- or four-dimensional) model from a number of different image datasets from a number of modalities. To this end, in at least one embodiment, the image datasets are fitted into a representation provided, the different image datasets being automatically enriched with contour lines and integrated into the representation. The model is created from this.

Abstract: A computer-implemented method, a device, a system and a computer program are disclosed for three-dimensional displaying of medical body structures within the framework of a medical procedure, in particular cardiac surgery, wherein movement information is derived from a dynamic image of a body structure to be examined. In at least one embodiment, movement information is derived from vector analysis. After acquiring a static image of the respective body structure, vector analysis is applied to the static image to derive a modified static image with movement information of the body structure. The static image can then be displayed after it has moved.

Abstract: At least one embodiment of the present invention relates to a method, a device and/or a computer program product for creating a (three- or four-dimensional) model from a number of different image datasets from a number of modalities. To this end, in at least one embodiment, the image datasets are fitted into a representation provided, the different image datasets being automatically enriched with contour lines and integrated into the representation. The model is created from this.