Psychiatry

Evaluating cellular communication sensing for lapse risk prediction during early recovery from alcohol use disorder: A longitudinal observational study.

Alcohol Use Disorder (AUD) is a chronic, relapsing condition, and identifying periods of elevated lapse risk remains a major challenge in supporting recovery. An automated recovery monitoring and support system using personal sensing and machine learning may help detect when individuals are at heightened risk. Cellular communication sensing may be a promising approach for passively capturing risk-...

Dissecting multimodal predictors of psychosis risk and remission in youth at ultra‑high risk of developing psychosis: An exploratory study.

Early identification of individuals at risk of developing psychosis enables timely intervention and better clinical outcomes. Current approach relies on clinical assessments, such as the Comprehensive Assessment for At‑Risk Mental States (CAARMS), which provides an Ultra‑High‑Risk (UHR) classification but have limited predictive precision. Artificial intelligence (AI) models integrating neuroimagi...

Long-term microbiome and clinical effects of a microbiome-guided personalized diet versus low-FODMAP diet in irritable bowel syndrome: A 12-month follow-up randomized controlled trial.

Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-...

Development and internal validation of a machine learning-based disease burden index for irritable bowel syndrome: a multicentre cross-sectional study.

BACKGROUND: Irritable bowel syndrome (IBS) is one of the most common disorders of gut-brain interaction in gastroenterology clinics worldwide, becomin...

The mind-superiority hypothesis: From mind perception to reasoning disclosure in evaluations of artificial intelligence-generated creative work.

Generative artificial intelligence (AI) is reshaping creative industries, raising questions about how people evaluate AI-generated work. Building on e...

AI-Enhanced Science Learning for Primary Students With Autism Spectrum Disorder: A Quasi-Experimental Study With Educational Robotics and Virtual Reality.

PURPOSE: This study examines the impact of Artificial Intelligence (AI)-enhanced instructional tools on science learning, engagement, and social inter...

Engineering a Timing-Accurate VR-EEG-Oculomotor Fusion System for Objective Assessment of Executive Function in ADHD.

Objective, scalable assessment of executive function in Attention-Deficit/Hyperactivity Disorder (ADHD) is limited by subjective rating scales and sin...

Characterization of AF Recurrence and Substrate Health by Electrographic Flow (EGF) Consistency in EGF Mapping.

BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...

Voice-interactive virtual simulated patients as a complement to standardized patient training in pharmacy education: A pilot evaluation.

INTRODUCTION: Standardized patients (SPs) are widely used in pharmacy education for communication skills training, but high resource demands limit pra...

EEG-Based Effective Connectivity for Automated Detection of Major Depressive Disorder.

Major depressive disorder (MDD) is a prevalent mental health condition with profound consequences on daily functioning and quality of life. Existi...

Therapeutic targeting of G protein-coupled receptors in central nervous system disorders: from novel mechanisms to precision pharmacology.

G protein-coupled receptors (GPCRs) are major therapeutic targets for central nervous system disorders, with more than 500 approved drugs targeting th...

Responsible and innovative AI for mental health care: five priority themes.

Artificial intelligence (AI) has entered psychiatry at scale, yet its clinical impact remains constrained by a sizable gap between technical validatio...

Validating objective and scalable speech markers of depression across two independent psychiatric cohorts.

BACKGROUND: Using speech as objective markers for major depressive disorder (MDD) has shown promise, yet their generalizability across clinical settin...

Evaluating the performance of EEG based on ANN to predict the effectiveness of tDCS combined evaluative conditioning on obsession symptoms reduction in contamination OCD patients: Secondary analysis of data from a randomized controlled trial.

Over 40% of Obsessive-Compulsive Disorder (OCD) patients do not respond to common treatments. This study was a secondary analysis of data from a rando...

Interpretable machine learning for hikikomori screening: The adaptive HRI-15.

Hikikomori, or prolonged social withdrawal, is an issue of global relevance. The HRI-15 is a brief tool for its assessment. This study enhances its ut...

Clinicians' practices and attitudes toward depression assessment: a cross-sectional survey study.

Accurate psychological evaluation is crucial for early detection, intervention and evaluation of mental health disorders. The validity and reliability...

Generative AI in Youth Mental Health Apps: Rapid Review.

BACKGROUND: Mental health apps are frequently used as platforms for delivering digital health interventions to young people. New technology such as ge...

Metabolic biomarkers of treatment-resistant schizophrenia and cognitive correlates: insights from a machine learning.

Early identification of Treatment-resistant schizophrenia (TRS) remains a challenge. Metabolomics offers a promising strategy for identifying biomarke...

Optimization of hospitalization duration and cost structure for chronic schizophrenia patients in psychiatric hospitals.

OBJECTIVE: Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency...

Correlates of physical activity behaviour in a population sample with increased cardiovascular risk and established cardiovascular disease: Cross-sectional analysis of data from the Paracelsus 10,000 prospective cohort study in Salzburg, Austria.

Regular physical activity (PA) remains challenging for many people with high cardiovascular risk and established cardiovascular disease (CVD). We aime...