Psychiatry

Letter to the editor: Attitudes toward artificial intelligence among individuals with anxiety, depression, bipolar disorders, and schizophrenia.

Machine learning models of depressive symptoms in middle-aged and elderly patients with chronic kidney disease: A cross-sectional study based on CHARLS.

This study aimed to develop and compare the performance of machine learning models in identifying de...

A machine learning approach to profiling anxiety risk among cancer patients on treatment.

PURPOSE: Previous literature has identified multiple risk factors for anxiety among individuals with...

First-episode psychosis and mood disorder onset in individuals with epilepsy.

BACKGROUND: Psychiatric disorders represent a major burden for patients with epilepsy (PwE). This st...

Using smartphone-based assessment of social experience to predict relapse in first-episode psychosis.

Social-affective changes are early indicators of psychosis relapse, yet their dynamic and subjective...

Forecasting and real-time detection of neonatal seizures: A machine learning perspective.

BACKGROUND AND OBJECTIVES: Recognition and treatment of neonatal seizures, primarily diagnosed using...

Debate: Conversational AI and young people's mental health - friend or foe? - conversational AI and young people's mental health: the case for clinically informed design.

Conversational AI is increasingly being used by young people for emotional support, advice and conve...

The Therabot will see you now.

Generative artificial intelligence can scale precision evidence-based psychotherapy.

Development and Clinical Evaluation of a Large Language Model-Based System for Generating Patient-Friendly Echocardiography Reports: Two-Stage Retrospective Validation and Prospective Survey Study.

BACKGROUND: Standard echocardiography reports use complex terminology, limiting patient comprehensio...

Machine learning evaluation of clinical, social and behavioural factors influencing progression from pre-diabetes to type 2 diabetes: a retrospective cohort study in southeast Michigan.

OBJECTIVE: We aimed to use machine learning (ML) models to investigate the impact of clinical, socia...

Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study.

BACKGROUND: Most applications for depression lack comprehensive theoretical integration and qualitat...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illness Care: Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being used to ...

Activation of sigma non-opioid intracellular receptor 1 (S1R) receptor inhibits plexin domain containing 2 (Plxdc2) driven microglial inflammation to ameliorate depressive-like behaviours in mice.

BACKGROUND AND PURPOSE: Microglia are central regulators of neuroinflammation in depression. Drivers...

Acute Aluminum Phosphide Poisoning: Evolving Perspectives on Toxic Mechanisms and Evidence-Based Clinical Management.

Aluminum phosphide (AlP) is a chemical compound that is used as a pesticide for suicidal purposes an...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...

Complex dynamics in psychological data: Mapping individual symptom trajectories to group-level patterns.

This study integrates causal inference, graph analysis, temporal complexity measures, and machine le...

The effect of AI-enabled virtual patient simulation on training outcomes and insecurities in psychotherapy education.

BACKGROUND: Preparing psychotherapy trainees for clinical complexity is a persistent educational cha...

Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.

Autism Spectrum Disorder (ASD) diagnosis benefits from the technical analysis of neural oscillations...

Real-world clinical validation of brainstem-based ocular biomarkers for ADHD classification in children and adults.

Current ADHD diagnostic practices rely on subjective rating scales and continuous performance tests ...

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chroni...

Differentiating Radiotherapy-Specific Distress From General Cancer Distress: Natural Language Processing Analysis of Patient Narratives.

BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts t...