An evaluation device includes a display unit; a point-of-gaze detector configured to detect a position of a point of gaze of a subject on the display unit; a display controller configured to display, on the display unit, an image containing a target area serving as a target that a subject is caused to gaze at and containing, in a position different from that of the target area, an induction area for inducing a visual hallucination in the subject; an area setting unit configured to set a specific area corresponding to the induction area in the display unit; a determination unit configured to, based on position data on the point of gaze, determine whether the point of gaze is present in the specific area; a computing unit configured to, based on a determination result of the determination unit, calculate point-of-gaze data; and an evaluation unit.

Disclosed herein are systems and methods for treating memory impairment, and more specifically to customized visual presentation for treating memory-related disorders and diseases. The disclosed systems and methods can predict clinical status of patients based on platform user behavior, such as those of patients. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

The present disclosure discloses system and method for detecting behavioral disorder of a person in early stage. The claimed system including: a plurality of camera modules for capturing videos of the person, wherein the captured videos are utilized to observe behavior of the person; a processing unit connected with the plurality of camera modules to pre-process the captured videos for generating behavioral disorder report of the person; a motion detection sensor connected with the processing unit for detecting motion of the person from the captured videos; an extractor connected with the motion detection sensor for extracting features from the captured videos; and a classifier connected with the extractor to differentiate abnormal behavior from normal behavior of the person.

The present disclosure provides for an ophthalmic testing system that may prescreen for ophthalmic diseases and systemic diseases. In some embodiments, an OTS may provide general screening results and relatives scores to patients that may be at risk for diabetic retinopathy, macular degeneration, or Alzheimer's. In some implementations, the OTS may offer self-screening features without collecting personal information that may identify the individual. In some embodiments, the OTS may use artificial intelligence and machine learning and machine learning to provide accurate and instant analysis and results to a user.

An evaluation device includes: a display; a gaze point detection unit detecting a position of a subject's gaze point; a display control unit displaying, after displaying a question image, an answer image including a specific object and comparison objects, and when the question image is displayed, displaying a reference image illustrating a positional relationship between the specific object and the comparison objects in the answer image; an area setting unit setting, on the display, a specific area corresponding to the specific object and comparison areas corresponding to the comparison objects; a determination unit determining, at each specified determination cycle, in which area the gaze point is present among the specific area and the comparison areas, based on a position of the gaze point; a calculation unit calculating an evaluation parameter based on a determination result; and an evaluation unit obtaining evaluation data on the subject based on the evaluation parameter.

An interactive multi-purpose interactive cognitive platform is provided that uses image-based interactivities and may use enriched visual stimuli for diagnoses, treatment, and to evaluate and assess the progress and/or treatment of cognitive diseases and/or conditions with cognitive impacts. The platform may be used for performance enhancement training. The platform may include a graphical user interface. The platform is designed to cooperatively engage multiple cognitive domains using interactivities-embedded assessments. The images and image sets may involve the application of Gestalt principles for assessments and may be personalized address individual user preferences. The multi-purpose interactive cognitive platform may be used to produce diagnostics and/or treatment plans for specific cognitive conditions and diseases with a cognitive component. The multi-purpose interactive cognitive platform may be used for gaming, stress reduction, mindfulness, skills development, training, and/or performance enhancement for those without cognitive problems and/or for those interested in maintaining their cognitive health.

A communicating device for placing within a blood vessel. The communicating device has a proximal end part, a terminal end part and a wired connector that communicatively connects the proximal end part with the terminal end part. The proximal end part has a battery connected to a wireless charging terminal and a signal processing circuit connected to a wireless communication terminal. The terminal end part has a plurality of sensors, electrodes and microfilaments to be deployed through the walls of the vessel.

Speech impairment indicative of Alzheimer's Disease (AD) is detected from an input speech sample using a classification model comprising a fine-tuned, pre-trained Bidirectional Encoder Representations from Transformer (BERT)-based model and a classification layer, the fine-tuning using training data comprising transcribed speech, a portion of the training data identified as associated with AD and a portion of the training data identified as not associated with AD. The input need not include acoustic or temporal features. In some implementations, the classification model is augmented through the use of syntactic and word-content features extracted from the speech sample, which are concatenated with an aggregate transcript representation from the BERT-based model and provided to the classification layer.

A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

The present disclosure is directed to interactively counseling a user with respect to supervised content. In particular, the methods and systems of the present disclosure may: determine, based at least in part on one or more machine learning (ML) models, that one or more interfaces displayed to a user include content of a content type designated by a content supervisor of the user for identification; and, responsive to determining that the interface(s) displayed to the user include content of the content type designated for identification, generate data representing a graphical user interface (GUI) for presentation to the user, the GUI indicating detection of the content of the content type and comprising interactive educational material counseling the user with respect to the content type.