Psychiatry

Unequal gains from artificial intelligence: Smart elderly health care, mental health of the elderly, and inequality.

As artificial intelligence becomes increasingly integrated into elderly healthcare systems, smart elderly health care (SEHC) has been promoted as a promising policy enhancing mental health and well-being among the elderly in China. This study examines the impact of SEHC on mental health and inequality among the elderly, with a particular focus on its unequal selection effect and the expansion of i...

Hybrid Vi+ECNN framework for advanced ADHD diagnostic accuracy in medical imaging.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Traditional diagnostic approaches, which rely on behavioral assessments, are susceptible to subjectivity and variability, underscoring the need for objective and automated diagnostic tools. This study develops an ADHD-specific, biologically informed mul...

Predictive analysis of health-related quality of life trajectories in older patients with chronic pain based on explainable machine learning models.

BACKGROUND: Health-related quality of life (HRQoL) is a vital indicator of evaluating care outcomes and prognosis, yet little is understood about its ...

Neural characteristics of emotion regulation and derived machine learning classification in high negative affectivity: Based on event-related potentials and nonlinear analysis.

As a core component of negative affectivity, high trait anxiety (HTA) elevates the risk of the onset of depressive disorders through impaired emotion ...

Predicting and structuring adolescent academic burnout: A multi-ecological framework via machine learning and network analysis.

Academic burnout is a prevalent concern with significant implications for adolescent development, whereas variable-centered approaches often provide l...

Divergent outcomes of AI anxiety: A dual-pathway model of cognitive appraisal on learning behaviors among university students.

The rapid integration of artificial intelligence (AI) into higher education is producing divergent learning behaviors, as student AI anxiety appears t...

Beyond Linear Risk: A Machine Learning Approach to Understanding Perinatal Depression in Context.

The goal of this study was to investigate the contextual nature of prenatal depression (PND) and postpartum depression (PPD). We report an investigati...

Diagnostic Classification of Autism Spectrum Disorder in the Frequency Domain Using Resting-State fMRI.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with problems in social interactions, verbal and non-verbal communication, repetitive ...

Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient's Perspective: Exploratory Qualitative Study.

BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advance...

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...

Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders.

OBJECTIVE: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. H...

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for ca...

Channel Graph Neural Network Revealing Multimodal Brain Connectivity Abnormalities in Schizophrenia.

Investigating abnormal brain network characteristics in schizophrenia can improve our understanding of disease mechanisms and help identify potential ...

Fingerprints Encode Risk for Bipolarity.

BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...

Quantifying Repetitive Hand Flapping Kinematics in Autistic and Non-Autistic Toddlers Using Video-Based Pose Estimation.

While repetitive behaviors such as hand flapping are associated with autism, non-autistic toddlers also exhibit this behavior (e.g., when excited), ma...

Machine Learning Algorithms for Detection of Autism Spectrum Disorders in Early Childhood: A Scoping Review.

OBJECTIVE: This scoping review assesses machine learning (ML)-based prediction models for autism spectrum disorder (ASD) in early childhood, with the ...

Effects of Different Exercise-Led Strategies on Mental, Nutritional, Physical and Cognitive Health in Community-Dwelling Older Adults: A Quasi-Experimental Study.

INTRODUCTION: Exercise interventions are widely used to promote physical and psychosocial health in community-dwelling older adults; however, the comp...

The Genetic Origin of Uneven Cognitive Profiles in Heritable Neurodevelopmental Conditions and Individual Differences: Computational Investigations.

While the heterogeneity and co-occurrence of heritable neurodevelopmental conditions such as autism, attention deficit hyperactivity disorder (ADHD), ...

Multivariate Pattern Analysis Identifies Potential Intertrial Resting-State EEG Biomarkers in Fibromyalgia.

Fibromyalgia involves widespread musculoskeletal pain and hypersensitivity, often accompanied by neurological, cognitive, and affective disturbances. ...

Environmental Exposures and Neuroimaging in Children with Neurodevelopmental Disorders: A Scoping Review.

PURPOSE OF REVIEW: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have...