Abstract: A medical data processing apparatus for determining performance of a trained model, the medical data processing apparatus comprising processing circuitry that is configured to: provide to the model an input comprising data in response to which the model provides an output comprising at least one finding; obtain at least one further finding from processing of further medical data; and compare the at least one finding and the at least one further finding thereby to determine performance of the model.

Abstract: An apparatus comprising processing circuitry configured to: obtain image data representing one or more medical images of a region of interest and processing said image data to identify one or more abnormal portions of the image by applying a first pre-determined model to the obtained image data; obtain medical text data corresponding to the one or more medical images of the region of interest and process said medical text data to identify one or more entities and their associated attributes by applying at least one further pre-determined model to the obtained medical text data; perform a matching process between the one or more identified abnormal portions and the one or more identified entities to obtain matched data comprising groupings of at least one identified abnormal portions and at least one entity, wherein the matching process is based on at least one or more properties of the identified abnormal portions of the image data and at least one or more of the attributes associated with the identified enti

Abstract: A medical image processing apparatus comprises processing circuitry configured to: receive medical image data for processing; receive text data including clinical information relating to the medical image data; specify based on the text data a target processing region of the medical image data or of a space. derived from the medical image data; and process at least the specified target processing region of the medical image data or of a space derived from the medical image data.

Abstract: A classification method comprises positioning an object and a radar unit in proximity to each other; receiving by the radar unit radar signals reflected from the object; and classifying the object, wherein the classifying is based on the radar signals and/or at least one feature extracted from the radar signals, and the classifying of the object comprises determining classification data for the object.

Abstract: A medical information processing apparatus is for processing medical text data using a medical text processing model. The apparatus comprising processing circuitry configured to: receive a portion of medical text data; determine a template corresponding to the portion of medical text data, a classification label associated with the template, and a first medical term included in the portion of medical text data; specify a second medical term which is different from the first medical term, wherein the second medical term is related to the first medical term; and generate synthetic text data based on the second term by inserting the second medical term into the template.

Abstract: A classification method comprises positioning an object and a radar unit in proximity to each other; receiving by the radar unit radar signals reflected from the object; and classifying the object, wherein the classifying is based on the radar signals and/or at least one feature extracted from the radar signals, and the classifying of the object comprises determining classification data for the object.