Psychiatry

From Locus of Control to Fear: How Intolerance of Uncertainty Shapes Young Arab Adults' Perceptions of Artificial Intelligence.

BACKGROUND: This cross-sectional study examines whether intolerance of uncertainty (IU) is indirectly associated with the relationship between internal and external locus of control (LoC) and fear of autonomous robots and artificial intelligence (FARAI) in a convenience sample of Arabic-speaking adults from four Arab countries. METHODS: A cross-sectional study was conducted in July 2023, including...

Managing risk and reward: Exploring immigrant platform workers' occupational safety and wellbeing through a sociotechnical lens.

BackgroundThe rise of digital platforms and algorithmically-managed labour is reshaping traditional understandings of job quality, safety, and wellbeing.ObjectiveThis study examines how human and non-human factors shape immigrant workers' perceptions and experiences of safety and wellbeing in the platform economy of Metro Vancouver, Canada.MethodsGuided by a sociotechnical lens, the study employed...

Multimodal Digital Therapeutics Enhanced by Task Design and AI for Attention-Deficit/Hyperactivity Disorder Core Symptoms and Executive Functions in Children and Adolescents: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Digital therapeuti...

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study.

BACKGROUND: Psychotherapy training is difficult to scale because manual rating of motivational interviewing (MI) and cognitive behavioral therapy (CBT...

MultiFPE: Multi-Representation Fusion Network for Facial Palsy Evaluation in Facial Videos.

Facial palsy is a common neuromuscular disorder that severely affects patients' physical and mental health. Facial palsy evaluation (FPE) is crucial f...

Gerontechnology Acceptance in Thai Older Adult Care Facilities-Sensor Network and Machine Learning Adoption: Mixed Methods Study.

BACKGROUND: Thailand is undergoing a rapid demographic transition, with an estimated 28% of the population expected to be aged 60 years or older by 20...

Factors Influencing Nursing Internship Students' Readiness to Use AI: Cross-Sectional Study Using Neural Network Analysis.

BACKGROUND: Enhancing nursing students' awareness, attitudes, beliefs, and preparedness toward AI may help improve their health care knowledge and pra...

Connectome-based modeling of the suicidal brain: neurobiological substrates, clinical translation and future perspectives.

Suicide represents a global public health crisis, claiming over 700,000 lives worldwide every year. Deep understanding of the neurobiological mechanis...

Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study.

OBJECTIVE: Post-stroke depression (PSD) is under-recognized and associated with poorer rehabilitation outcomes and quality of life. We characterized P...

Protocol for a pilot effectiveness and feasibility randomized controlled trial of an advanced telerehabilitation system for people with multiple sclerosis (PLATINUMS project).

BACKGROUND: Multiple Sclerosis (MS) causes many different symptoms, with some of the most dominant being impaired balance and walking performance. Exe...

Integrative TWAS and multi-omics analyses prioritize HSPE1 as a candidate risk gene for bipolar disorder with immune cell-specific regulatory evidence.

BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder associated with substantial disability. Although genome-wide association studies ha...

Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study.

Personality traits are stable individual differences linked to important life outcomes including mental health, occupational functioning, and interper...

Correction to "Contributing factors to beneficence and nonmaleficence in police-led jail diversion programs" by Petreca et al. (2025).

UNLABELLED: Reports an error in "Contributing factors to beneficence and nonmaleficence in police-led jail diversion programs" by Victor G. Petreca, M...

A framework for evidence-based psychotherapy with AI (EBP-AI).

Artificial intelligence (AI) systems and large language models offer substantial potential to augment or even fundamentally change elements of psychol...

An AI-Supported Virtual Patient Application Using a Structured Prompting Framework to Develop Mental Status Examination Skills in Psychiatric Nursing Internship Students: An Interventional Mixed-Methods Study.

The aim of this study is to evaluate the effect of an artificial intelligence (AI)-powered virtual patient application (ChatGPT) on the development of...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Alopecia Areata: Advances in Clinical Evaluation and Pathogenesis.

Alopecia areata (AA) is a common autoimmune condition that affects approximately 2% of the global population. Although it most commonly presents with ...

RETRACTION: Autism Spectrum Disorder Detection Using Facial Images: A Performance Comparison of Pretrained Convolutional Neural Networks.

[This retracts the article DOI: 10.1049/htl2.12073.].

Application of Artificial Intelligence (AI) in cancer symptom management for adult cancer survivors: a scoping review.

BACKGROUND AND AIM: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review ...

Automated autism spectrum disorder detection using EEG signals and time-frequency visibility graphs.

Early and objective screening of Autism Spectrum Disorder (ASD) remains challenging because conventional diagnosis primarily relies on behavioural ass...