Psychiatry

Comment on "Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: A comprehensive multi-center population-based study".

Development and validation of a precision treatment rules for first-line antipsychotic recommendations in first episode psychosis jointly incorporating effectiveness, side effects and patient preferences.

Selecting first-line antipsychotic medication for first episode of psychosis patients is a very chal...

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) expe...

Oral Health and Social Engagement of Older Adults: A Longitudinal Study.

OBJECTIVES: This study examines whether better oral health is associated with greater social engagem...

Severity-dependent alterations of EEG microstate dynamics in obsessive-compulsive disorder.

BACKGROUND: While elevated symptom severity in obsessive-compulsive disorder (OCD) is associated wit...

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Carta de lectores relacionada al artículo de Guevara Tirado que lleva por título "Síntomas depresivo...

Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study.

BACKGROUND: Preventing relapses of psychosis is difficult and important. Digital remote monitoring (...

AI-enabled psychometric and psychophysiological assessment in psychiatric comorbidity of oncology patients: A systematic review.

BACKGROUND: The state of psychological distress, including depression and anxiety, is very common am...

Multivariate machine learning regression approaches to predict adolescent suicide risk.

BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely o...

Pollutant-Specific Pathways Linking Gaseous Air Pollution to Adolescent Depressive Symptoms: Direct and Sleep-Mediated Effects in a Population-Based Retrospective Cohort Study.

OBJECTIVE: This study aimed to examine associations between multiple gaseous air pollutants across d...

Identifying treatment response classes to transcranial direct current stimulation (tDCS) from daily ecological momentary assessment (EMA) patterns in patients with depression.

IMPORTANCE: Transcranial direct current stimulation (tDCS) is known to be promising for depression, ...

Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice.

BACKGROUND: Artificial intelligence (AI) is rapidly reshaping oncology, offering advancements in cli...

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD)...

Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease.

Reconstructing functional brain networks from functional Magnetic Resonance Imaging (fMRI) data typi...

Subgroup identification of disparities in buprenorphine discontinuation in opioid-use disorder: A Virtual Twins machine learning approach using nationwide United States claims data, 2006-2022.

Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet dispari...

Identification and independent validation of white matter subtypes in major depressive disorder and their role in predicting treatment response.

Major depressive disorder (MDD) is a complex psychiatric disorder characterized by diverse clinical ...

The relationship between mental health disorders and LUTS.

This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) ...

Beyond feature importance: Validating true clinical associations in AI-driven psychiatric research through consistency and dose-response relationships.

Current AI algorithms lack robust methods to validate genuine clinical associations, which require c...

Who thrives against the odds? Mapping adolescent trait heterogeneity of emotional maltreatment effects with causal forests DML.

BACKGROUND: Emotional maltreatment (EM) during childhood and adolescence exerts lasting effects on p...

Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.

Genetic association studies have identified numerous genes harboring protein-disrupting variants in ...

EXPRESS: Static and dynamic perspective on brain activity and functional connectivity alternations in the comorbidity of chronic pain and depression: An fMRI study in rats.

BACKGROUND: Clinically, chronic pain and depression often coexist in multiple diseases and reciproca...