Psychiatry

Ethical cognition, AI anxiety, and attitudes toward artificial intelligence: validation of the GAAIS, AT-EAI, and AIAS in an Albanian higher-education context.

BACKGROUND: Cross-cultural psychometric evidence on instruments measuring attitudes toward artificia...

An interpretable predictive model for depression risk in diabetic patients: A web-based application using NHANES data.

Depression is a common comorbidity in individuals with diabetes and is associated with adverse clini...

Machine learning models to predict ICU admission of patients with COPD and depression: A retrospective cohort study.

This study aimed to develop and validate a machine learning (ML)-based predictive model to identify ...

Clinician's Corner: Chatbots for Psychotherapy.

Molecularly Engineered Wing-Shaped Azobenzene Memristors for Logic-in-Memory and Edge Visual Intelligence.

Organic molecular resistive memory offers a promising platform to overcome the von Neumann bottlenec...

Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive Study.

BACKGROUND: Generative artificial intelligence (GenAI) conversational agents are increasingly integr...

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Depression is a serious mental health condition affecting millions worldwide. In recent years, deep ...

Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth.

Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have...

Hybrid deep learning for mental workload classification using EEG with enhanced preprocessing and interpretability.

Mental workload classification is critical in safety-sensitive fields such as healthcare and aviatio...

Machine learning for mental health diagnosis: power and extensions of epistemic injustice.

Following the article of Ugar and Malele, Pozzi and De Proost provide a necessary addition to the di...

EEG Connectivity Signatures in Active vs. Passive Mental Fatigue Settings.

In real-world occupational settings, mental fatigue commonly emerges from the combination of sleep d...

Distinct and Shared Molecular Mechanisms Underlie Morphological-Functional Overcoupling and Undercoupling in Major Depressive Disorder.

BACKGROUND: Major depressive disorder (MDD) exhibits significant heterogeneity in alterations of bra...

Novel genetic insights into causal effects of depression on non-alcoholic fatty liver diseases partially mediated by gut microbiota.

Depression and non-alcoholic fatty liver disease (NAFLD) are increasingly recognized as interconnect...

Expression patterns of risk genes associated with three evolutionarily relevant syndromes in rhesus macaque and human brains.

Depressive disorder (DD), Alzheimer's disease (AD), and schizophrenia (SZ) are evolutionarily releva...

Efficient epileptic seizure prediction using single channel EEG signal and knowledge distillation on deep neural networks.

Epilepsy is a common neurological disease, and in some patients, abnormal changes in brain activity ...

Integrated remote sensing and aeromagnetic datasets for mapping iron mineralization potential in the El-Bahariya depression in the Western Desert of Egypt.

The El-Bahariya depression in the Western Desert of Egypt is well-known for its iron ore deposits, w...

Discrimination of generalized anxiety and major depressive disorders by machine learning of resting-state functional MRI.

OBJECTIVE: To address the clinical difficulty of differentiating Generalized Anxiety Disorder (GAD) ...

Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning.

BACKGROUND: The association between the triglyceride-glucose index-relative fat mass (TyG-RFM) and p...

Dine in or take out dataset: user behavior in an interactive virtual reality café.

We present the Dine In or Take Out Dataset, a virtual reality dataset collected using a Meta Quest P...

AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.

Current disease-sensing devices primarily focus on distinguishing between healthy and diseased state...

A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).

BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters ...