Psychiatry

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

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"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.

This article examines the ethical and policy implications of using voice computing and artificial in...

[Theoretical Review of Robot Anxiety].

The aim of the study is to describe the effect of robot anxiety. The forming of the concept and the ...

[Autism spectrum disorder biomarkers based on biosignals, virtual reality and artificial intelligence].

It has been observed that the stratification of Autism Spectrum Disorders (ASD) generated by the cur...

Preliminary Test of the Potential of Contact With Dogs to Elicit Spontaneous Imitation in Children and Adults With Severe Autism Spectrum Disorder.

IMPORTANCE: Finding strategies to enhance imitation skills in people with autism spectrum disorder (...

Targeted prescription of cognitive-behavioral therapy versus person-centered counseling for depression using a machine learning approach.

OBJECTIVE: Depression is a highly common mental disorder and a major cause of disability worldwide. ...

Addressing the Credit Assignment Problem in Treatment Outcome Prediction using Temporal Difference Learning.

Mental health patients often undergo a variety of treatments before finding an effective one. Improv...

Convolutional Neural Network Visualization for Identification of Risk Genes in Bipolar Disorder.

BACKGROUND: Bipolar disorder (BD) is a type of chronic emotional disorder with a complex genetic str...

Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with ma...

Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

IMPORTANCE: Suicide is a public health problem, with multiple causes that are poorly understood. The...

Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning.

IMPORTANCE: Compared with the treatment of physical conditions, the quality of care of mental health...

Hierarchical Structured Sparse Learning for Schizophrenia Identification.

Fractional amplitude of low-frequency fluctuation (fALFF) has been widely used for resting-state fun...

Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder.

Repetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD) is ...

Editorial: Are computers going to take over: implications of machine learning and computational psychiatry for trainees and practising clinicians.

Are computers going to take over? In some ways they already have, and they are bound to take over mo...

What health records data are required for accurate prediction of suicidal behavior?

OBJECTIVE: The study sought to evaluate how availability of different types of health records data a...

Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder.

Endophenotype refers to a measurable and heritable component between genetics and diagnosis, and the...

A computational study of mental health awareness campaigns on social media.

As public discourse continues to progress online, it is important for mental health advocates, publi...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

The Language of LGBTQ+ Minority Stress Experiences on Social Media.

LGBTQ+ (lesbian, gay, bisexual, transgender, queer) individuals are at significantly higher risk for...

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