Psychiatry

A pilot study on the impact of large language model assistance on the evaluation of complex medical living kidney donor candidates.

BACKGROUND: Large language models (LLMs) are undergoing exploration as clinical decision support tools. However, their role in complex, high-stakes transplant nephrology decisions, including potential living kidney donor candidate (pLKDC) evaluation, remains unclear. METHODS: In this prospective pre-post pilot study, 14 physicians (seven fellows and seven early-career nephrologists [consultants]) ...

Exploring the association between personality and attitudes towards ageing in UK and Canadian older adults': Use of a novel Behavioural Artificial Intelligence solution.

Perceptions of ageing is an important psychosocial factor that influences health, wellbeing as well as engagement in health- promoting behaviours as people age. This study used a novel Behavioural Artificial Intelligence (AI) solution to examine the association between personality and attitudes towards ageing, and to explore how perceptions of ageing impact health promoting behaviours in UK and Ca...

Functional evaluation in adult spinal deformity can be reduced to 3 key kinematic parameters that can sufficiently predict health-related quality of life outcomes: an observational prospective study.

BACKGROUND CONTEXT: Recently, functional evaluation using 3D gait analysis (3DGA) proved to predict health-related quality-of-life (HRQOL) scores bett...

Neural estimates of language comprehension of sentences with selected action verbs in a non-literal context in the Polish language studied by permutation cluster-based analysis and decoding of the event-related potentials.

BACKGROUND: This work examines how the human brain processes mental metaphors in Polish verbal phraseologisms (a fixed, non-compositional combination ...

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review.

AIMS: Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness ...

Pleiotropic germline PTEN mutations influence gastrulation through dysregulated AKT activation.

PTEN hamartoma tumor syndrome (PHTS), caused by germline PTEN mutations, exhibits pleiotropic manifestations, including hamartomas, cancers, and neuro...

The impact of childhood trauma on brain structural connectivity in adolescent major depressive disorder: A graph-based analysis.

BACKGROUND: Childhood trauma (CT) significantly increases vulnerability to adolescent major depressive disorder (MDD), yet the underlying neurobiologi...

Machine learning reveals two neuroanatomical subtypes of adolescent depression with distinct white matter, functional, and cognitive profiles.

BACKGROUND: Major depressive disorder (MDD) is a clinically and neurobiologically heterogeneous disorder typically emerging in adolescence. Delineatin...

Quantum convolution searched binary neural networks based autism spectrum disorder detection using MRI images in cloud computing.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disease that causes discrepancies in social interaction and behavioral changes. The development...

From interfacial stabilization to maintainable operation: fouling-resilient synthetic urine valorization by bipolar membrane electrodialysis.

Bipolar membrane electrodialysis (BMED) is a promising route for urine valorization, yet practical deployment is constrained by organic-inorganic syne...

Autonomous sampling and SHAP interpretation of deposition-rates in bipolar HiPIMS.

High-power impulse magnetron sputtering (HiPIMS) offers considerable control over ion energy and flux, making it invaluable for tailoring the microstr...

Characterizing executive dysfunctions in patients with schizo-obsessive comorbidity: comparing schizophrenia with obsessive-compulsive disorder.

BACKGROUND: The term 'schizo-obsessive comorbidity (SOC)' is used to describe the presence of obsessive-compulsive symptoms or obsessive-compulsive di...

Hyper-scanning and hyper-pursuit define eye movement biomarkers of anxiety disorders.

BACKGROUND: Anxiety disorders are highly prevalent yet lack objective biomarkers. Whereas threat-related attentional biases are well documented, less ...

A decade of evidence linking gut microbiome dysbiosis to depression: a computational meta-analysis of mechanistic pathways: 2014-2024.

OBJECTIVES: The gut microbiome-gut-brain axis (MGBA) has been associated in the pathophysiology of depression; however, the expanding literature remai...

AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review.

BACKGROUND: Artificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and eth...

Comparing Perceptions of ChatGPT Use in Health Attitude Contexts Among Users and Nonusers: Cross-Sectional Study.

BACKGROUND: In light of the growing use of artificial intelligence (AI) in health care, individuals' access to and use of health information are trans...

Multimodal Depression Detection Through Conversational Interactions with an Emotion-Aware Social Robot: Pilot Study.

BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnosti...

Early postpartum psychosocial profiles predict parenting maladjustment at 1 year.

Parenting difficulties during the first postpartum year are a public health concern. Early screening mainly uses depressive-symptom measures such as t...

Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability.

OBJECTIVE: The aim of this study was to develop a way to distinguish suicidal patients based on their electrophysiologic (EEG connectivity and heart r...

Examining user-AI interaction patterns in health-Information queries.

In this study, we examine how individuals utilize generative artificial intelligence (GAI) when seeking health-related information. Using a dataset of...