Psychiatry

A deep learning approach to stress recognition through multimodal physiological signal image transformation.

Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress invo...

Explainable AI in early autism detection: a literature review of interpretable machine learning approaches.

Autism spectrum disorder (ASD) is a neurodevelopmental condition especially in children with a stron...

Different prefrontal cortex activity patterns in bipolar and unipolar depression during verbal fluency tasks based on functional near infrared spectroscopy study.

This study aimed to investigate the functionality of the prefrontal cortex in patients with unipolar...

Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity.

BACKGROUND: Cerebral perivascular spaces (PVS) are involved in cerebrospinal fluid (CSF) circulation...

Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.

BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent rew...

The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review.

BACKGROUND: Mental health disorders affect an estimated 1 in 8 individuals globally, yet traditional...

γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.

γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...

GenAI and psychiatry: Between multimodal promise and ethical perils.

The role of AI in transforming psychiatric-mental health care: Enhancing the role of psychiatric-mental health nurse practitioners.

The integration of artificial intelligence (AI) into psychiatric-mental health care presents transfo...

De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning.

Breast cancer, the most commonly diagnosed disease worldwide, has been linked to the overexpression ...

Artificial intelligence chatbots as a source of virtual social support: Implications for loneliness and anxiety management.

Loneliness, social isolation, and anxiety affect millions of people across the world. Communication ...

Prognostic predictions in psychosis: exploring the complementary role of machine learning models.

BACKGROUND: Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variab...

Predicting complications in breast reconstruction: External validation of a machine learning model.

BACKGROUND: Nipple-sparing mastectomy (NSM) with immediate implant-based breast reconstruction provi...

Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data.

BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring...

Short Research Article: Evaluation of an artificial intelligence language model in psychiatric patient education.

BACKGROUND: The incorporation of artificial intelligence (AI) and machine learning (ML) into medicin...

BrainCHEF: Cross-Level Hypergraph Enhanced Fusion model for brain networks.

Modeling the dynamic characteristics of functional brain networks is of great significance for uncov...

Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental h...

Multimodal Depression Recognition via Mutual Information Maximization Joint with Multi-task Learning.

Depression is a serious mental health disorder with a potential hazard for individuals and society c...

Alterations in Gut Microbiota-Brain Axis in Major Depressive Disorder as Identified by Machine Learning.

Major depressive disorder (MDD) is a complex mental health condition whose causes may extend beyond ...

Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme.

This study examined whether baseline demographic and clinical variables could predict clinically si...

Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study.

We introduce an artificial intelligence model to personalize treatment in major depression, which wa...