Psychiatry

Can NLP Detect Loneliness in Electronic Health Records? A Proof-of-Concept Study.

Loneliness is clinically important but under-documented in electronic health records (EHRs), posing challenges for secondary use and computational phenotyping. This study evaluated whether natural language processing (NLP) methods can detect and classify loneliness severity from clinical notes. Patients with a loneliness survey (mild, moderate, severe) were identified, and notes within six months ...

Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning Approaches.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, caused by various epigenetic and genetic factors. This has resulted in an unclear understanding of etiology and biomarkers associated with ASD. In this study, we used RNA Seq datasets integrating with machine learning models to identify the differentially expressed genes (DEGs) between ASD and typical development (TD). The RNA Seq da...

Identification of Ecological and Human Health Indicators Based on Geographic and Spatial Mapping.

Addressing public health and environmental challenges in rapidly urbanizing areas requires identifying and analyzing relevant indicators. This study i...

Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.

How medical students choose specialties shapes access to care. Prior work mostly describes patterns; newer prediction tools can rank influential facto...

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and...

Risk prediction of depression- and anxiety-related psychological distress in a large multistage survey sample of Chinese adults: a multi-algorithm ensemble machine-learning model with SHAP.

OBJECTIVE: To develop an interpretable ensemble machine-learning model to support risk stratification of elevated depression- and anxiety-related psyc...

Decoding shared pathogenic networks of oxidative stress in neuropsychiatric disorders to prioritize multi-target therapeutics from natural products.

BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and ...

Beyond anxiety reduction: Psychological transformation and systemic contradictions in generative-AI-mediated language learning - A cultural-historical activity theory perspective.

This study explores the psychological transformation and contradictions arising from Generative AI (Gen-AI)-mediated language learning. Using Cultural...

Inhibitory control deficits and ventral attention network alterations linked to apathy in schizophrenia.

Individuals with schizophrenia demonstrated impaired inhibitory control and apathy symptoms, which are characterized by a reduction in self-initiated ...

An explainable machine learning framework for analyzing and predicting mental health problems among university students in Bangladesh.

Mental health problems (MHPs) among university students are an increasing public health concern globally, including in Bangladesh. While machine learn...

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on second...

An externally validated machine learning algorithm for predicting mental and physical health outcomes three months post-hospitalization for severe viral infection with SARS-CoV-2.

Many individuals hospitalized due to severe viral infections develop mental and physical sequelae, which could potentially be prevented by targeted in...

Differential cerebral white matter tract alterations in generalized anxiety disorder revealed by ultra-high-field 7 T diffusion-weighted imaging.

Generalized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, yet its underlying white matter (WM) microstructural...

A Bilayer Rare-Earth/High-κ Oxide Memristor for Energy-Efficient Neuromorphic Intelligence.

The growing demand for brain-inspired computing systems has intensified research into energy-efficient, scalable, and adaptive hardware that mimics bi...

Multimodal MRI marker of cognition explains the association between cognition and mental health in the UK Biobank.

Cognitive dysfunction often co-occurs with psychopathology. Advances in neuroimaging and machine learning have led to neural indicators that predict i...

Who Laughs, and Who Doesn't? Predicting Humor Skills From Personality, Social Anxiety, and Laughter Dispositions of Gelotophobia, Gelotophilia, and Katagelasticism.

Laughter-related dispositions, including gelotophobia (fear of being laughed at), gelotophilia (enjoyment of being laughed with), and katagelasticism ...

Reducing listening anxiety in blended learning: The role of AI-driven feedback and strategy in EFL education.

This mixed-methods study examined listening strategies, anxiety, and achievement among 436 vocational college EFL students in an AI-augmented blended ...

Building safer artificial intelligence mental health chatbots: a framework for transparency, evaluation, and shared accountability.

BACKGROUND: Generative artificial intelligence (AI) chatbots built on large language models are rapidly entering mental-health care, offering human-li...

SHAP analysis of an improved EEG-based mental workload classification framework: utilizing data augmentation and explainable AI.

Mental workload (MWL) classification using electroencephalogram (EEG) signals is crucial for cognitive neuroscience and is also a challenging research...

"Ethnic Preferences in African American Rhinoplasty using Artificial Intelligence Morphing and Cadaveric Structural Cartilage Grafts".

BACKGROUND: Many African American patients who undergo rhinoplasty prefer to maintain their ethnic characteristics rather than aim toward Euro-Western...