Psychiatry

Brainstem Raphe Nuclei and Their Serotonergic Neurons: An Integrative Review of Distribution, Function and Projection.

Serotonergic neurons in the raphe nuclei of the brainstem play a central role in a wide range of physiological and psychological processes. These neurons form intricate neuroregulatory networks via extensive ascending and descending projections to multiple brain regions. They are critically involved in integrating and refining neural signal transmission to sustain normal physiological homeostasis,...

Artificial intelligence and suicide prevention: Promise and pitfalls.

Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...

Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.

BACKGROUND: Real-world psychiatric care is marked by wide heterogeneity in clinical presentations and outcomes, underscoring the need for systematic a...

Behavioral Mechanisms of a Digital Health Intervention for Self-Management in Type 2 Diabetes Mellitus: Prospective Longitudinal Cohort Study.

BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals with type 2 diabetes mellitus (T2DM). Although digi...

The diagnostic value of the circadian rhythm gene KLF10 in anxiety-depressive disorders and its neuroimmune regulatory mechanisms.

BACKGROUND: Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which has been shown to be closely related to neuroimmun...

SIMLINK Enables Accurate Variant Pathogenicity Prediction through Modeling the Gene-Variant-Feature Association Structure.

MOTIVATION: Predicting variant pathogenicity is crucial for clinical genetics. Existing approaches face two primary limitations. First, biologically, ...

Patterns of Engagement With an AI Conversational Agent for Mental Health and Associations With Anxiety and Depression: Cross-Sectional Study.

BACKGROUND: Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional ...

Patient-Facing AI-Enabled Digital Health Technologies and Quality of Life in Cancer: Systematic Review and Exploratory Meta-Analysis.

BACKGROUND: Cancer affects multiple physical, psychological, and social aspects of an individual's life. Cancer survivors frequently report unmet need...

Distinctive subcortical connectivity predicts treatment response in first-episode schizophrenia.

BACKGROUND: Subcortical regions are widely implicated in the pathological mechanisms and treatment of schizophrenia, and accumulating evidence, includ...

Adaptive voice interaction as a cognitive regulation mechanism during second-language listening: The roles of learner agency and listening anxiety.

The increasing integration of artificial intelligence into learning environments has created new opportunities to examine how adaptive technologies in...

Study protocol of the Speech of children After Neonatal Encephalopathy (SANE): a single-centre prospective cohort study.

INTRODUCTION: Language development is a key determinant of academic achievement and psychosocial outcome. Due to the therapeutic hypothermia procedure...

AI Patient Support and 6-Month Medication Adherence in a Digital Obesity Program: A Retrospective Analysis.

BACKGROUND: Real-world glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapies face substantial attrition rates in commercial digital weight los...

Data-driven insights in menopause: A scoping review of sensors and AI.

Menopause is a complex biological transition associated with physiological and psychosocial changes that can affect health and daily life. Yet, most c...

Sociodemographic bias in LLMs' clinical decision-making for dizziness.

ObjectiveAs large language models (LLMs) enter clinical decision support, concerns persist about sociodemographic bias. We assessed whether LLM recomm...

Multimodal approaches in precision psychiatry.

Precision psychiatry is an emerging framework that seeks to improve diagnosis, prognosis, and treatment in mental disorders through the integration of...

Depressive symptoms in the association between herpes zoster and heart disease in middle-aged and older adults: A longitudinal cohort study.

BACKGROUND: Herpes zoster (HZ) has been linked to elevated cardiovascular risk, but the mechanisms remain unclear. Depressive symptoms, particularly s...

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.

Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OCD), yet a significant number of patients do not ac...

An unsupervised machine learning analysis of biopsychosocial characteristics and treatment outcome of alcohol use disorder.

Background: Alcohol Use Disorder is a heterogeneous condition where standard severity measures often fail to predict individual treatment responses. P...

Deep learning reveals a neurocomputational mechanism predicting depression risk in adolescents.

Early detection and prevention of psychiatric disorders, particularly depression, remain as major global health challenges, yet reliable tools for ide...