Psychiatry

The multilevel exploration test, a novel paradigm to measure exploratory behavior in depression animal models and the involvement of the PL-ZI circuit.

Diminished drive is one of the core symptoms of major depressive disorder (MDD) diagnosis, yet its u...

Personalized machine learning guided intervention for optimizing lifestyle behaviors in depression: a pilot study.

Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...

Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.

OBJECTIVE: To explore the clinical value of AI-assisted pulmonary rehabilitation education in patien...

Mitigating Bias in Multi-Label Medical Text Classification: A Cooperative Training Framework with Dynamic Debiasing.

MOTIVATION: Medical text classification plays a critical role in clinical decision support, automate...

A Doubly Robust Machine Learning Procedure to Estimate Disparities by Race/Ethnicity and Sex in the Relationship Between Adverse Childhood Experiences and Suicidality.

OBJECTIVE: Suicide is a leading cause of death among youth, and adverse childhood experiences (ACEs)...

Using smartphone surveys to predict next-week suicide attempts.

Clinicians are tasked with predicting and preventing suicidal behavior among their patients; however...

Chatbot relational dependence and psychosis risk: Conversational artificial intelligence as a potential behavioral addiction context.

Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, co...

Large Language Models in Mental Health Research and Treatment.

Mental health challenges add immensely to the global burden of disease, yet traditional approaches t...

A contrastive reconstruction vision transformer model for intelligent diagnosis of autism spectrum disorder.

Automated assessment through the analysis of facial expressions in autism can assist in early screen...

Genital-prioritized attentional bias in lifelong premature ejaculation: behavioral evidence from eye-tracking and machine learning.

Lifelong premature ejaculation (LPE) involves altered responses to sexual cues. Neuroimaging has ide...

Spatio-temporal reconstruction of early brain developmental trajectories via self-supervised learning.

Charting the normative and atypical trajectories of the brain's rapid early-life reorganization is c...

Interpersonal Predictors of Grief Among Caregivers of Persons With Dementia.

OBJECTIVE: Family caregivers of persons with dementia experience grief as the care recipients' demen...

Aging beyond diagnosis: the MRI brain age gap across disorders.

The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and c...

Medicine, psychotherapy, and artificial intelligence.

Hybrid optimized focal high-order attention network with descriptor computations for autism spectrum disorder detection in federated learning.

Autism spectrum disorder is a neurodevelopmental condition that affects the social interaction, and ...

Classification of autism spectrum disorder using a directional graph attention network on brain effective connectivity.

Recent research into the neural mechanisms underlying autism spectrum increasingly relies on brain n...

PyramidPat explainable feature engineering for multiclass electroencephalography psychiatric disorders: Explainable feature engineering and classification.

Deep learning has dominated modern machine learning, and feature engineering has often been neglecte...

Optimized quadrangle attention consolidated convolutional multi-scale vision transformer based autism detection.

Autism is a complex neurological condition characterized by repetitive behaviours, varied speech and...

The impaired inhibition of negative information in patients with major depressive disorder based on event-related potentials and machine learning algorithms.

Major depressive disorder (MDD) may exhibit deficits in the inhibition of negative information. This...

Accelerated biological aging in bipolar disorder as determined by artificial intelligence-based electrocardiographic assessment.

BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovas...

Large Language Models and Their Applications in Mental Health: Scoping Review.

BACKGROUND: Large language models (LLMs) are poised to transform mental health care, offering advanc...