Psychiatry

Predicting off-track development in infants aged 0-6 months in low-resource settings using machine learning.

BACKGROUND: This study aimed to address the critical gap in the limited application of machine learn...

Assessing personality using zero-shot generative AI scoring of brief open-ended text.

Contemporary personality assessment relies heavily on psychometric scales, which offer efficiency bu...

Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model.

BACKGROUND: Major depressive disorder (MDD) and bipolar disorder (BD) are psychiatric disorders that...

Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function.

BACKGROUND: The glymphatic system plays a critical role in brain waste clearance and health. Diffusi...

A multilayered integrated analysis of insomnia-related genes ATG7 and JAK2 in the autophagy-inflammation mechanism and clinical implications in major depressive disorder.

OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). H...

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...

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.

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), re...

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...

Increasing use of generative artificial intelligence by teenagers.

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

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 ag...

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...