Psychiatry

Frailty trajectories and risk of incident advanced CKM syndrome: A national cohort analysis.

BACKGROUND: The interplay between frailty dynamics and the newly defined Cardiovascular-Kidney-Metab...

Development and multi-center validation of a school-home integrated machine learning model for early screening of attention-deficit/hyperactivity disorder in school-aged children.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is frequently under-identified in commun...

Artificial Intelligence and the Psychology of Human Connection.

As artificial intelligence (AI) becomes increasingly embedded in social life, understanding its inte...

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, ser...

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 t...

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 exposur...

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 dia...

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 Alzheim...

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 ...

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

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...

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 infa...

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 ...

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

Early caregiving relationships shape the coordination of stress and immune systems, yet their biolog...

Increasing use of generative artificial intelligence by teenagers.

The use of Generative Artificial Intelligence (GenAI) by teenagers is increasing rapidly. GenAI is a...

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 def...

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and...

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of pa...

Triaging Casual From Critical-Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study.

BACKGROUND: This study aims to detect self-harm or suicide (SH-S) ideation language used by youth (a...

Evaluation of the neurotrophic peptide mixture in pathogenetic therapy of patients with Parkinson's disease.

This exploratory, single-group, open-label study investigated 17 patients with Parkinson's disease (...

Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal behavior.

There is considerable heterogeneity among late-life suicide attempters who can present stark differe...