Psychiatry

Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial.

BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barrier...

Beyond psychosocial support: A family-system-centric approach to AI-driven geriatric monitoring in Indonesia.

Development of Mind-Body Interventions for the Emergency Department.

Emergency department (ED) visits are a common experience that most individuals will have across thei...

Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki-Bouba Effect.

Attenuated sound-shape matching in the classic Kiki-Bouba effect in autism has already been replicat...

Workers/crews' mental workload dynamics in closed cabins: A task-difficulty-adaptive random forest model for instrument monitoring tasks using multimodal biosignals.

BackgroundAccurate assessment of operator mental workload (MWL) is critical for ensuring safety in c...

Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study.

BACKGROUND: Digital twins (DTs) offer a paradigm for health care by enabling data-driven, simulation...

Use of AI to Predict and Support Medication Adherence in Patients With Breast Cancer: Systematic Review.

BACKGROUND: Oral medications are commonly used in the treatment of breast cancer (BC), despite high ...

Predicting Somatization Risk Among Infectious Disease Disaster Frontline Nurses Using Machine Learning.

This study aimed to identify key risk factors associated with high-somatization risk among frontline...

Impaired regional structure-function coupling as novel neurophenotype: mechanistic insights and diagnostic exploration in treatment-resistant depression.

Treatment‑resistant depression (TRD) is one of the toughest clinical challenges in psychiatry, chara...

Predicting student mental health through entropy-based features and interpretable cross-attention transformer networks.

Mental health is becoming a major concern for students in today's fast-changing world. Mental health...

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...

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...

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...