Psychiatry

Artificial Intelligence and the Psychology of Human Connection.

As artificial intelligence (AI) becomes increasingly embedded in social life, understanding its interpersonal and psychological implications is urgent yet undertheorized. This article introduces the machine-integrated relational adaptation (MIRA) model, a transdisciplinary, middle-range theoretical framework that provides a foundational account of when, how, and why AI functions as a relational en...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populations. The objective of this systematic review is to review and synthesise the scope and impact of digital health technology innovations within rural primary healthcare settings. DESIGN: Systematic review. DATA SOURCES: Articles published on PubMed, P...

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk of intentional self-harm.

BACKGROUND: Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower ...

Attitudes toward artificial intelligence and impostor phenomenon among nursing students: A five-country cross-sectional study.

BACKGROUND: AI tools are increasingly visible in nursing education and practice, yet student exposure and acceptance vary across settings. Limited dig...

One-stop strabismus digital diagnosis via AI-integrated skin-like and wearable "Eyelectronics".

Strabismus, affecting ~4% of children, impairs vision and psychosocial health. However, clinical diagnosis requires multiple instruments and stepwise ...

Towards the development of a management protocol for subjective cognitive decline: Insights from a cross-sectional and longitudinal analysis of multimodal data from a memory clinic.

BackgroundSubjective cognitive decline (SCD) represents the first early symptomatic stage of Alzheimer's disease (AD).ObjectiveWe aimed to investigate...

The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.

Global population aging and increased chronic stress due to numerous mass disasters including those related to pandemics, climate change, war, displac...

Development and external validation of a diagnostic model for differentiating major depressive disorder from bipolar disorder.

Identifying clinical correlates of drinking clusters during treatment for alcohol use disorder.

BACKGROUND AND OBJECTIVES: Despite the availability of treatments for alcohol use disorder (AUD), relapse prevalence and health-related consequences a...

Spatiotemporal patterns and environmental correlates of suicide seasonality in Brazil.

Suicide exhibits a consistent seasonal pattern worldwide, peaking in late spring and early summer in both hemispheres. Yet, the biological mechanisms ...

Machine learning and SHAP-based interpretation of dietary antioxidants' impact on comorbid MDD and suicidal ideation.

OBJECTIVE: To develop and validate a machine learning model for predicting major depressive disorder (MDD) with suicidal ideation (SI) by incorporatin...

Lymphocyte-based inflammatory biomarkers during the postpartum period and postpartum depression symptoms in U.S. women.

BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infant health. Inflammation is a potential factor for ...

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing t...

Immune system up-regulation in securely attached infants during early childhood.

Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficie...

Increasing use of generative artificial intelligence by teenagers.

The use of Generative Artificial Intelligence (GenAI) by teenagers is increasing rapidly. GenAI is a form of artificial intelligence that creates new ...

Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.

BACKGROUND: Bipolar disorder (BD) is associated with clinical and biological markers of premature aging. In this largest study of brain age in BD to d...

Tegmental kappa-opioid receptor neurons modulate opioid withdrawal via the periaqueductal gray.

Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untreated, frequently results in relapse, accidental o...

Interpersonal Coordination Deficits in Joint Action in Pre-school Children With Autism Spectrum Disorder: Evidence From fNIRS Hyper-Scanning and Machine Learning.

PURPOSE: Whether children with autism spectrum disorder (ASD) exhibit interpersonal coordination deficits remains controversy. The study employed func...

Combined Modeling Approaches for Assessing Sodium-Iodide Symporter Inhibition.

The sodium-iodide symporter (NIS, SLC5A5) plays a crucial role in thyroid hormone synthesis. Especially during brain development, correct thyroid sign...

Machine Learning-Assisted Autism Risk Stratification in Toddlers Using the Vietnamese M-CHAT-R and Perinatal Predictors: A Cross-Sectional Study in Vietnam.