Psychiatry

Reliability and validity of a widely-available AI tool for assessment of stress based on speech.

Cigna's online stress management toolkit includes an AI-based tool that purports to evaluate a person's psychological stress level based on analysis of their speech, the Cigna StressWaves Test (CSWT). In this study, we evaluate the claim that the CSWT is a "clinical grade" tool via an independent validation. The results suggest that the CSWT is not repeatable and has poor convergent validity; the ...

Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a special group about to enter society, studying the mental health of college students in foreign language learning is of great significance. This paper di...

Central Auditory Processing Impairment in Renal Failure.

UNLABELLED: This study is the first to investigate central auditory processing impairment in patients with slight decrease in renal function (PSR), wh...

The Effects of Artificial Intelligence on Implementors' Fidelity of Instructional Strategies During Handwashing Acquisition in Children with Autism.

Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autis...

On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers.

An ensemble of classifiers combines several single classifiers to deliver a final prediction or classification decision. An increasingly provoking que...

Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care.

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatr...

Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children.

OBJECTIVE: To explore the potential of using artificial intelligence (AI)-based eye tracking technology on a tablet for screening Attention-deficit/hy...

Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers.

BACKGROUND: Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As sy...

Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study.

The present study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident car...

Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning.

BACKGROUND AND AIMS: Gaming disorder [GD] risk has been associated with the way gamers bond with their visual representation (i.e., avatar) in the gam...

A bidirectional thermal sensory leaky integrate-and-fire (LIF) neuron model based on bipolar NbO volatile threshold devices with ultra-low operating current.

Brain-like artificial intelligence (AI) will become the main form and important platform in future computing. It will play an important and unique rol...

Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.

BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment...

Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability.

Predicting pilots' mental states is a critical challenge in aviation safety and performance, with electroencephalogram data offering a promising avenu...

Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots.

Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access to affordable and effective mental health services b...

A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners.

Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics a...

Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to ex...

Psychotherapy and Artificial Intelligence.

This column explores the challenges involved in providing psychotherapy through artificial intelligence. It reviews artificial intelligence's capacity...

Wife-Mother Role Conflict at the Critical Child-Rearing Stage: A Machine-Learning Approach to Identify What and How Matters in Maternal Depression Symptoms in China.

Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it easily remains untreated and misses the best time t...

A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition.

This paper proposes a portable wireless transmission system for the multi-channel acquisition of surface electromyography (EMG) signals. Because EMG s...

Volumetric Alterations of the Hippocampal Subfields in Major Depressive Disorder with and without Suicidal Ideation.

Major depressive disorder (MDD) is often accompanied with suicidal ideation (SI). Previous studies suggested that MDD patients who experienced suicida...