Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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[Corpus Analysis of Psychiatric Disorders Utilizing Natural Language Processing and Neurolinguistics].

Natural language processing (NLP) is a technology in which a computer processes human "natural langu...

Evaluation of a Companion Robot for Individuals With Dementia: Quantitative Findings of the MARIO Project in an Irish Residential Care Setting.

The current study focuses on the short-term effect of MARIO, a social robot, on quality of life, dep...

A Social Media Study on the Effects of Psychiatric Medication Use.

Understanding the effects of psychiatric medications during mental health treatment constitutes an a...

A Machine Learning Strategy for Autism Screening in Toddlers.

OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and in...

Memory and mental time travel in humans and social robots.

From neuroscience, brain imaging and the psychology of memory, we are beginning to assemble an integ...

Brief Report: A Novel System to Evaluate Autism Spectrum Disorders Using Two Humanoid Robots.

We investigated the feasibility of our novel evaluation system for use with children with autism spe...

Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders.

Technological agents could be effective tools to be used in interventions for enhancing social orien...

Recurrent Neural Networks in Mobile Sampling and Intervention.

The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones...

An expandable approach for design and personalization of digital, just-in-time adaptive interventions.

OBJECTIVE: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theor...

RRAM-based synapse devices for neuromorphic systems.

Hardware artificial neural network (ANN) systems with high density synapse array devices can perform...

Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection prov...

Smart and Assistive Walker - ASBGo: Rehabilitation Robotics: A Smart-Walker to Assist Ataxic Patients.

Locomotion is an important human faculty that affects an individual's life, bringing not only physic...

Internet-Based Management for Depressive Disorder.

The advances in the Internet and related technologies may lead to changes in professional roles of p...

The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.

Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple pheno...

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional f...

Understanding Mood Disorders in Children.

Mood disorders include all types of depression and bipolar disorder, and mood disorders are sometime...

Machine Learning in Neural Networks.

Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by pr...

Artificial Intelligence in Psychiatry.

Scientific findings over the past few decades have shaped our understanding of the underlying neurob...

MIRKB: a myocardial infarction risk knowledge base.

Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide...

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