Psychiatry

Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures.

BACKGROUND: Treatment-as-usual (TAU) conditions are intended to reflect the support typically receiv...

Deep learning driven clustering of post-traumatic stress disorder (PTSD) profiles in student-athletes: implications for precision and stratified mental health support.

BACKGROUND: Athletes frequently experience potentially traumatic events related to sports injuries, ...

A Comparative Evaluation of Three Large Language Models for Parent-Centered Questions About Anorexia Nervosa.

BACKGROUND: Large language models (LLMs) are increasingly used to obtain health information, includi...

Non-European migrants with schizophrenia spectrum disorders in Swiss forensic and general psychiatric care facilities - A comparative study using machine learning.

Personal history of migration poses an important risk factor for schizophrenia spectrum disorders (S...

Determinants of the Perceived Ageism Index using theory-driven and data-driven approaches: evidence from the Türkiye Elderly Profile Survey 2023.

OBJECTIVES: This study examines the multidimensional determinants of perceived ageism using a combin...

Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data.

Early assessment of depressive symptoms is essential for scalable and personalized mental health car...

Multimodal artificial intelligence and online learning in youth mental health: a scoping review.

Youth mental health-related problems and disorders have garnered increased attention due to global p...

Identifying neuroimaging-based biomarkers for obsessive-compulsive disorder: A resting-state fMRI and machine learning study in patients and unaffected first-degree relatives.

BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent t...

Is it time for AI to take a leading role in mass trauma mental health response?

Machine learning (ML) and artificial intelligence (AI) offer opportunity and risk in mass trauma res...

Screening of molecular signatures from microRNA and mRNA expression profiling related to the efficacy of the antidepressant duloxetine and analysis of their regulatory relationship.

Previous clinical studies have reported that not all depressed patients respond to antidepressants. ...

Are routinely collected clinical and sociodemographic characteristics associated with social functioning and activities of daily living in schizophrenia? A machine learning approach descriptive of a schizophrenia cohort.

Patients with schizophrenia often experience substantial impairments in social functioning and activ...

Where next for psychiatry: its past, present and future.

Humanity is entering a new phase of social evolution with rapid digitalisation and increasing use of...

Development of a Contextualized, Research-Based Flemish Assessment Framework for Digital Care, Assistance, and Support: Delphi Study.

BACKGROUND: The rapid evolution of digital technologies has transformed health, mental health, and s...

Parental Perspectives on Oral Health Care for Autistic Children With Medicaid: A Qualitative Study.

Children with special health care needs and disabilities (CSHCND), particularly those with autism, e...

Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.

A central objective in human neuroimaging is to understand the neurobiology underlying cognition and...

Predicting adult functional outcomes in childhood-onset attention-deficit/hyperactivity disorder using multimodal MRI and machine learning: A prospective follow-up study.

Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental disorder tha...

Psychiatric Conditions in Women With Health Problems, and the Role of Artificial Intelligence (AI) in the Well-Being of Health Professionals and the Identification of Mental Disorders.

AI-Driven Speech Analysis for Mental Health Prediction in Individuals with Voice Disorders.

BACKGROUND AND OBJECTIVE: Mental health disorders are common among individuals with voice disorders,...

Response to comments on "Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study".

Integrated transcriptomic and clinical analysis of autism spectrum disorder reveals structured heterogeneity and links Methyl-CpG Binding Domain Protein 2 expression with symptom severity.

AIM: Autism spectrum disorder (ASD) remains underexplored in Southeast Asia, with limited characteri...

Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study.

BACKGROUND: Images play an important role in reducing stigma related to mental health, which often i...