Psychiatry

Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.

Psychotherapies have been found effective in the treatment of most mental disorders. However, substa...

Artificial Intelligence-Assisted Clinical Decision Support System in Telemedical Wound Care: A Randomized Controlled Trial.

BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic ...

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

INTRODUCTION: Early identification of autism spectrum disorder (ASD) is critical for improving long-...

The Effectiveness of Artificial Intelligence-Enhanced Interventions for Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a r...

Exploring the intricate interplay between metabolic abnormalities and multidimensional cognitive impairment in stable schizophrenia patients.

Cognitive deficits across multiple domains are prevalent in patients with schizophrenia (PWS), and m...

Ten-year population-based assessment of multimorbidity burden progression in a regional cohort of 5.5 million adults.

Multimorbidity, a major driver of healthcare demand and clinical complexity, is often addressed in a...

Factors linked to depressive symptoms in obsessive-compulsive disorder: a machine learning and network analysis from China OCD Cohort (COCC).

Classification and discrimination of emotion dysregulation disorders using machine learning.

Attention-deficit/hyperactivity (ADHD), bipolar (BD) and borderline personality (BPD) disorders are ...

From non-specific biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness across the FondaMental Advanced Centers of Expertise (FACE) cohorts.

BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of sev...

Where is the 'Anxious' in climate anxiety? Evidence from Chinese social media big data.

Climate anxiety has emerged as a significant global psychological and social response to climate cha...

Constructing fine-grained subcortical atlases with connectional consensus graph representation learning.

Objective.The complex internal organization of subcortical structures forms the foundation of critic...

Exploring service user attitudes towards mental health technologies.

OBJECTIVES: Understanding service users' knowledge of and attitudes towards the rapidly progressing ...

Gut microbiome signatures associated with depression and obesity.

UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pa...

Update of the Novara Cohort Study (NCS): protocol evolution of a population-based longitudinal study on ageing in Northern Italy - cohort profile.

PURPOSE: The Novara Cohort Study (NCS) was established to investigate the biological, psychological ...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presen...

A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder.

The choroid plexus serves as the primary barrier between the brain's blood and cerebrospinal fluid a...

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...