Psychiatry

ADHD classification using spherical phase space partitioning and symbolic time series analysis of multi-channel EEG signals.

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorde...

AI and the clinical blind spot: why psychiatry should be part of the conversation about artificial intelligence and human behaviour.

Artificial intelligence (AI) systems that model human behaviour are built on data humans generate ab...

SYNERGY-VAE: An explainable generative deep learning framework for discovering depression subgroups from multimodal population health data.

Depression represents a complex, multifactorial disorder influenced by the interplay of biological, ...

Parental Attachment Anxiety and Adolescents' Authentic Self-Disclosure to Generative AI: The Roles of Rumination, Depression, and Gender.

Generative artificial intelligence (GenAI) is increasingly used by adolescents across various domain...

Bullying Victimization, Depressive Symptoms, and Suicide Among U.S. High School Adolescents: Protective Effects of School Connectedness and Parental Monitoring.

Suicidal thoughts and behaviors (STBs) among U.S. adolescents remain a public health concern and are...

Two-Stage Gamified Digital Assessment for Autism Spectrum Disorder Screening and the Limits of Differentiating Social Communication Disorder in Children and Adolescents: Cross-Sectional Diagnostic Accuracy Study Using Explainable Machine Learning.

BACKGROUND: Distinguishing autism spectrum disorder (ASD) from social communication disorder (SCD) i...

Implicit Bias in Large Language Model Diagnosis of Eating Disorders: Experimental Vignette Study.

BACKGROUND: Large language models (LLMs) are increasingly deployed in mental health applications, ye...

Using machine learning to predict long-term treatment outcomes in psychotherapy for personality disorders.

Objective: Evidence for predictors of long-term outcomes in personality disorder (PD) treatment rema...

Exploring young adult cancer survivors' perspectives on generative AI chatbots for symptom support.

BACKGROUND: Young adult cancer survivors (ages 18-39) often experience persistent treatment-related ...

System-level synchronization and subtype-specific modules govern brain-wide serotonin axon innervation.

The serotonin system modulates nearly all neural circuits across development and adulthood and is a ...

Leveraging machine learning to personalize depression treatment: A pre-registered study of 828 adults randomized to a digital single-session intervention or waitlist.

Some digital single-session interventions (SSI) for depression appear effective, at least in youth, ...

Artificial intelligence in pediatric diabetes: clinical benefits, developmental risks, and ethical challenges.

UNLABELLED: Artificial intelligence (AI) is rapidly transforming both pediatric healthcare and every...

A machine learning framework for the multi-class prediction of suicide attempt risk.

Suicide attempt risk stratification is often hampered by the limitations of current binary classific...

HGMA-Net: A Hierarchical Graph-Mamba Encoder for Multi-Modal Brain Disorder Classification on Population Graphs.

Brain disorder (BD) classification based on population graph learning has shown promising performanc...

fNIRS in Autism Neuroscience: From Replication to Discovery.

Studying the neural basis of autism spectrum disorder (ASD) has long been hampered by a mismatch: co...

Demographics, Clinical Content, Use Patterns, and Care-Seeking Intent Across Two Generations of AI-Enabled Clinical Triage Tools (A Traditional Structured Questionnaire and a Large Language Model-Enabled Conversational Interface): Comparative Retrospective Observational Study.

BACKGROUND: Virtual clinical triage is central to digital front door strategies, yet how interaction...

Authors' response (July 16, 2026) to the Letter to the Editor concerning the paper "Psychosocial working conditions and mental well-being of remote and stationary employees: a longitudinal study".

Letter to the Editor (March 22, 2026) concerning the paper "Psychosocial working conditions and mental well-being of remote and stationary employees: a longitudinal study".

Acceptance of AI-Based Assistive Technologies for Autonomy Support Among Older Adults: A Scoping Review.

BACKGROUND: Population aging is leading to increased demand for health and long-term care. AI-based ...

Serum Protein Glycopatterns as Biomarkers for Machine Learning Diagnosis of Major Depressive Disorder.

The diagnosis of major depressive disorder (MDD) currently relies on subjective clinical assessment,...

Development of an artificial intelligence model to estimate psychiatrist-assessed mental health-related presenteeism.

OBJECTIVES: This study aimed to contribute to the development of an AI-based system that supports wo...