Abstract: A method for performing automated diagnostics, comprising processing first input data relating to a speech or text input signal to generate a representation of the first input data and generating a first output based at least in part on the representation of the input data; determining a preliminary diagnosis output comprising at least one preliminary diagnosis of the problem by processing, using a preliminary diagnosis machine learning model, the first output; determining, at the one or more processors and based at least in part on the preliminary diagnosis output, at least one dialogue system output; outputting, by way of an output of the diagnostics system, the dialogue system output.

Abstract: Described herein there is a computer-implemented method for generating a dialogue system output, comprising: receiving, at an input, input data relating to a speech or text input signal originating from a user device; receiving, at one or more processors, a plurality of domain snippets, wherein each domain snippet comprises data representing reference data and data representing an associated prompt; processing, by the one or more processors, the plurality of domain snippets to determine a plurality of similarity indicators, each similarity indicator indicating a similarity between the input data and a respective domain snippet; processing, by the one or more processors, the plurality of similarity indicators to select one or more of the data representing reference data; providing, by the one or more processors, data representing the input data and the one or more data representing reference data as an input to an input layer of a neural network configured to generate a dialogue system output by: identifying a

Abstract: A dialogue system, comprising: an input configured to obtain input data relating to speech or text provided by a user; an output configured to provide output data relating to speech or text to a user; and one or more processors, the one or more processors being configured to: receive, by way of the input, input data relating to speech or text provided by a user; receive, at a first module, structured information comprising information relating to a clinical state of the user, the structured information being generated from the input data, the first module comprising a subject understanding module and a subject recommendation module, wherein the subject understanding module comprises one or more subject understanding models, each of the one or more subject understanding models configured to take as input the structured information and provide as output subject profile information; generate, at the subject understanding module, subject profile information based on the structured information; determine a subject

Abstract: A dialogue system, comprising: an input configured to receive input data relating to speech or text provided by a user; an output configured to provide output data relating to speech or text to a user; and one or more processors, configured to: receive, by way of the input, input data relating to speech or text provided by a user; provide the input data to a subject safety module, the subject safety module configured to receive the input data and evaluate the input data before a system response is output, evaluating the input data comprising performing a first determination on the input data using a matching module and a second determination on the input data using a trained model, wherein the matching module performs the first determination to determine whether the input data matches one or more items from a pre-determined set of one or more items; generate a system response using a first process or using a second process, wherein the first process uses at least one trained language model to generate a dynam

Abstract: Systems and methods that provide for treatment of a cognitive disorder based on self-reporting of cognitive information.