Psychiatry

Can AI Help Reduce Disparities in General Medical and Mental Health Care?

BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns ha...

Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or conn...

Quantitative Electroencephalography in Guiding Treatment of Major Depression.

This paper reviews significant contributions to the evidence for the use of quantitative electroence...

Who is a better teacher for children with autism? Comparison of learning outcomes between robot-based and human-based interventions in gestural production and recognition.

BACKGROUND: Individuals with autism spectrum disorder (ASD) tend to show deficits in engaging with h...

How to Prepare Prospective Psychiatrists in the Era of Artificial Intelligence.

Recent Developments in the Treatment of Depression.

The cognitive and behavioral interventions can be as efficacious as antidepressant medications and m...

Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life.

BACKGROUND: This paper suggests a method to assess the extent to which ultra-short Heart Rate Variab...

Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhoo...

Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.

Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...

Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various ...

A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Advances in the medical industry has become a major trend because of the new developments in informa...

Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification.

Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...

Sex Differences in Nociceptin/Orphanin FQ Peptide Receptor-Mediated Pain and Anxiety Symptoms in a Preclinical Model of Post-traumatic Stress Disorder.

Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...

Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...

Machine learning in suicide science: Applications and ethics.

For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has...

Apps, Avatars, and Robots: The Future of Mental Healthcare.

From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics, virt...

Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

Fear of pain demonstrates significant prognostic value regarding the development of persistent muscu...

Learning from data to predict future symptoms of oncology patients.

Effective symptom management is a critical component of cancer treatment. Computational tools that p...

Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy.

This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile...

iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially assoc...

BP neural network prediction model for suicide attempt among Chinese rural residents.

OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) predi...