Koninklijke Philips Corporation N.V.

Monique Hendriks

Dimitrios Mavroeidis

Jacek Lukasz Kustra

Sergio Consoli

Pieter Christiaan Vos

Ralf Hoffmann

Johan Janssen

Elise Claude Valentine Talgorn

Niels Laute

Hyelin Lee

Aart Tijmen Van Halteren

Arlette Van Wissen

Jaap Knoester

Ralf Dieter Hoffmann

Tomq Djajadiningrat

Reinoud Bosman

The invention provides a method for evaluating a set of input data, the input data comprising at least one of: clinical data of a subject; genomic data of a subject; clinical data of a plurality of subjects; and genomic data of a plurality of subjects, using a deep learning algorithm. The method includes obtaining a set of input data, wherein the set of input data comprises raw data arranged into a plurality of data clusters and tuning the deep learning algorithm based on the plurality of data clusters. The deep learning algorithm comprises: an input layer; an output layer; and a plurality of hidden layers. The method further includes performing statistical clustering on the raw data using the deep learning algorithm, thereby generating statistical clusters and obtaining a marker from each statistical cluster. Finally, the set of input data is evaluated based on the markers to derive data of medical relevance in respect of the subject or subjects.

Evaluating input data using a deep learning algorithm

Disclosed herein is a medical system () comprising: a memory () storing machine executable instructions, at least one set of predetermined coordinates (), and a position identifying algorithm (). The position identifying algorithm is configured for outputting a set of current coordinates () for each of the at least one set of predetermined coordinates in response to receiving a current image descriptive of an object (). The execution of machine executable instructions () causes a computational system () to repeatedly receive () a current image () from a camera system (). The execution of machine executable instructions () causes a computational system () to perform the following for the current image: receive () the set of current coordinates for each of the at least one set of predetermined coordinates in response to inputting the current image into the position identifying algorithm; calculate () a positional difference () between the at least one set of predetermined coordinates and its set of current coordinates; calculate () a one-dimensional value () from positional difference using an objective function; and provide () a one-dimensional position indicator () for each of and controlled by each one-dimensional value in real time using a user interface ().

One-dimensional position indicator

A method of clustering or grouping subjects that are similar to one another. A dataset contains, for each subject, a set of quantitative values which each represent a respective clinical or pathological feature of that subject. A principal component analysis, PCA, is performed on the dataset. Loadings of one of the first two principal components identified by the PCA are used to generate a respective dataset of weighting values. These weighting values are used to weigh or modify each set of quantitative values in the dataset. A clustering algorithm is performed on the weighted sets of subject data. The process may be iterated until user-defined stopping conditions are satisfied.

Subject clustering method and apparatus

There is provided an apparatus and a method of operating the apparatus for providing feedback to a participant directing a communication to one or more other participants. The apparatus () comprises a processor () configured to acquire, from one or more physiological characteristic sensors (), one or more physiological characteristic signals from at least one participant to which the communication is directed as the communication is received by the at least one participant. The processor () is also configured to determine a measure of the quality of the communication based on a comparison of the one or more physiological characteristic signals acquired from the at least one participant with one or more expected physiological characteristic signals and control a user interface () to provide feedback of the determined quality measure of the communication to the participant directing the communication to the at least one participant.

Apparatus and method for providing feedback to a participant of a communication

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Eindhoven, Netherlands

Monique Hendriks