Psychiatry

NASA's ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration.

Plants often exhibit a midday depression in water use (i.e., transpiration), reflecting a constraint on their ability to sustain maximum water transport, which may occur at the cost of reduced photosynthesis. Eddy covariance observations and geostationary satellites cannot quantify this widespread phenomenon globally while resolving fine-scale spatial variability. Using evapotranspiration measurem...

Baseline prediction of two-year prevention and remission of anxiety, depression, and eating disorders in college students receiving a digital guided self-help intervention: derivation and external validation of a machine learning algorithm across 26 population-based cohorts.

INTRODUCTION: We examined whether machine learning identified baseline variables that predicted two-year prevention and remission from anxiety, depression, and eating disorders following digital cognitive-behavioral therapy guided self-help (D-CBTgsh). METHODS: Undergraduates at risk for or meeting criteria for anxiety, depression, and eating disorders who were randomized to population-based scree...

Investigation of Machine Learning Models for Anxiety Levels Assessment in Patients With Breast Cancer Using Self-Questionnaires.

BACKGROUND: This study aimed to develop a machine-learning model using self-report questionnaires to screen for clinically significant anxiety symptom...

Pathogenic Genetic Variants, Comorbid Autism and Adaptive Developmental Quotient as Independent Predictors of Intellectual Disability in Children With Global Developmental Delay: An Interpretable Machine Learning Model With Calibrated Risk Estimation.

BACKGROUND: Global developmental delay (GDD) frequently precedes intellectual disability (ID), but no validated multivariable prognostic tool exists t...

Improving care for distal hypospadias: recent studies provide a blueprint for improved diagnostics and optimized operative outcomes.

PURPOSE OF REVIEW: Recent clinical studies provide key insights into our current approach to the management of distal hypospadias. This common conditi...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

Bridging the gap: predicting early contingency management outcomes.

Background: Contingency management (CM) is a psychosocial treatment used to improve socially significant behaviors. Its efficacy has been demonstrated...

An integrated systems biology and machine learning framework for identifying potential biomarkers and pathways in autism spectrum disorder.

BACKGROUND: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders whose underlying molecular mechanisms and biological processes...

Abnormal gray matter structural covariance networks associated with suicidal ideation in adults with major depressive disorder: Evidence from the REST-meta-MDD consortium.

BACKGROUND: Suicidal ideation (SI) is common in patients with major depressive disorder (MDD) and may represent a clinically meaningful phenotype with...

Generative AI as a cognitive assistive technology for adults with dyslexia: the role of anxiety, working memory, and metacognitive regulation.

PURPOSE: This study examined generative artificial intelligence (AI) as an emerging cognitive assistive technology for adults with dyslexia. Specifica...

Identifying risk factors for marijuana use among male high school students using machine learning: Implications for public health.

OBJECTIVES: To identify risk and protective factors associated with lifetime marijuana use among male high school students through an interpretable ma...

Machine Learning-Based Discrimination of Treatment-Resistant Schizophrenia Using Structural Brain Imaging: A Multi-Site Proof-of-Concept Study.

BACKGROUND: Treatment-resistant schizophrenia (TRS) affects 20-30% of individuals with schizophrenia, with persistent symptoms, functional impairment,...

Association between stomach pain and depression in middle-aged and older chinese adults: Evidence from CHARLS with machine learning and SHAP analysis.

BACKGROUND: Emerging evidence indicates a bidirectional relationship between gastrointestinal symptoms and psychological distress, yet population-base...

A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.

Halide perovskite memdiodes have coupled ionic-electronic dynamics and are promising candidates for artificial synapses in neuromorphic computing. We ...

A Human-Governed Clinical Informatics Framework for Safe AI-Assisted Mental Health Counseling: Secondary Framework Development and Requirement Mapping Study.

BACKGROUND: Natural language processing and large language model systems are increasingly used to support mental health documentation, screening, and ...

Unraveling key predictors, mediation pathways, and group heterogeneity of music performance anxiety among Chinese college music students.

Music performance anxiety (MPA) is widespread among music students, underscoring the need to clarify its key predictors, mediation pathways, and group...

Co-development of AI literacy, agency, enjoyment, and anxiety in EFL learners: A complex dynamic systems perspective.

Artificial Intelligence (AI) tools have been found to influence English language learning. However, there is scant research on the role of AI literacy...

Machine learning-based analysis of average glandular dose in mammography: The role of breast density.

INTRODUCTION: Average glandular dose (Dg) is the primary metric for assessing radiation risk in screening mammography. Although Dg analysis is commonl...

AI and neuroimaging in autism spectrum disorder: advances in diagnosis, methodological challenges and future directions.

BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by challenges in social interaction, communication, and restricted or repetitive behaviors...

Acceptability of AI-Assisted Psychotherapy to Prospective Patients and Their Intent to Continue Treatment: A Vignette Study.

OBJECTIVE: The authors examined how transparency of artificial intelligence (AI) use (transparent vs. covert) and modality of therapy (telehealth vs. ...