Psychiatry

Prediction and Prevalence of Self-Harm and Nonsuicidal Self-Injury in Children With Learning Disabilities: A Machine-Learning Approach in Saudi Arabia.

The current study aimed to estimate the prevalence of self-harm and nonsuicidal self-injury (NSSI) i...

The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review.

Artificial Intelligence (AI) technologies are rapidly evolving and their integration into psychologi...

Artificial intelligence robots for mental health applications: a scoping review.

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage...

Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.

BACKGROUND: Suicide and self-harm are significant issues globally. Accurate, efficient and comprehen...

Integration of AI and Neuroscience: New Methods in Studying the Causes of Mental Disorders.

ObjectiveThis review sought to systematize knowledge about the use of artificial intelligence in neu...

An Interpretable Functional-Dynamic Synaptic Graph Neural Network for Major Depressive Disorder Diagnosis from rs-fMRI.

Major depressive disorder (MDD) is a serious, complex psychiatric condition that affects millions of...

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain-Machine Interface.

Episodic memory integrates what, where, and when of experience into a coherent autobiographical narr...

Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.

BACKGROUND: Today, university students are experiencing increasing anxiety about finding a job after...

SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.

PURPOSE OF REVIEW: Machine learning predictive modeling can support scalable prevention of suicide-r...

[AI Technologies for Diagnostics and Conversation Analysis in Psychotherapy: Opportunities and Challenges].

In recent years, artificial intelligence (AI) has made great progress in medicine, particularly in t...

Diagnostic Utility of Formal Thought Disorder Between Affective and Non-Affective Psychosis: A Machine Learning Approach.

Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study.

BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized b...

Predicting suicide attempts among the elderly: A machine learning evaluation of a staged ideation-to-action approach based on the Three-Step Theory.

Suicide among older adults remains a major global public health concern, particularly acute in South...

Predicting the Course of High-Impact Chronic Pain Using Machine Learning Algorithms.

High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable cour...

Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.

For decades, psychiatric neuroimaging has searched for biomarkers of depression and other disorders,...

Harnessing exosomes for precision diagnostics and therapies in psychiatry disorders.

Exosomes are nanosized extracellular vesicles enriched with proteins, lipids, and nucleic acids and ...

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample.

INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received r...

Ethical challenges of using artificial intelligence in suicide prevention: a literature review.

Artificial intelligence (AI) is a tool that could provide useful prevention strategies for people at...

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

A dual attention transformer modelling for explainable mental health analysis in academic environments using TaBERT.

Mental health plays a crucial role in shaping students' academic performance and practical outcomes,...

Voices of change: associations between vocal markers and symptoms of ADHD - Findings from the LIFE child study.

In the context of precision psychiatry, voice characteristics in psychiatric disorders have signific...