Systems and methods for mental health assessment

Abstract

The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

What is claimed is: 
     
         1 . A method for identifying whether a subject is at risk of having a mental or physiological condition, comprising:
 (a) obtaining data from said subject, said data comprising speech data and optionally associated visual data;   (b) processing said data using one or more models comprising a natural language processing (NLP) model, an acoustic model, or a visual model, to yield processed data;   (c) using said processed data to identify one or more features indicative of said mental or physiological condition; and   (d) outputting an electronic report identifying whether said subject is at risk of having said mental or physiological condition, based at least on said one or more features that are identified using said processed data, which said risk is quantified in a form of a score having a confidence level provided in said electronic report.