Psychiatry

Decoding neuronal gene expression: integrative insights from omics and AI.

Neuronal functional diversity and pathological vulnerability are governed by multi-layered regulator...

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

BACKGROUND: Canadian psychiatry residents must demonstrate consultation competency, assessed using t...

Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability.

BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterize...

A bibliometric analysis of artificial intelligence applications to schizophrenia research (2005 - 2025).

BACKGROUND: Artificial intelligence (AI) has been increasingly applied in schizophrenia research, ye...

Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.

Postoperative erectile dysfunction remains a highly debilitating complication following robot assist...

Defining and Assessing Empathic Communication in Patient Portal Secure Messages: Adapted Coding Framework Development Study.

BACKGROUND: Empathic communication in the clinical setting has been associated with improved clinica...

Analyzing Social Media to Infer Mental Health Status and Affective States for Crisis and Disaster Management: Scoping Review.

BACKGROUND: The use of social media (SoMe) during crisis and disaster situations (CaDs) has gained i...

Body Image and Eating Disorder Education Chatbot, JEM, in Australia and Canada: First 6-Month Real-World Survey Evaluation.

BACKGROUND: Body image dissatisfaction, disordered eating, and eating disorders represent significan...

Video-Algorithmic Patient Monitoring in Mental Health Inpatient Settings: Qualitative Study of Patient or Consumer, Clinician, and Vendor Perspectives.

BACKGROUND: Video-algorithmic patient monitoring (VAPM) combines remote, noncontact sensors and algo...

Pre-operative concerns and post-operative satisfaction: comparing attitudes toward bariatric surgery and medication intervention for weight loss on Reddit.

BACKGROUND: Patient perceptions influence the success of bariatric surgery and pharmacologic weight ...

Integrating remote testing and machine learning to identify markers of cerebellar ataxia at home.

BACKGROUND: In-person assessments face accessibility, scalability, and geographic diversity challeng...

Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells.

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women ...

Development and temporal validation of a machine-learning based risk prediction model for depression in older adults with chewing difficulty: evidence from the KNHANES.

BACKGROUND: Depression in older adults is a multifactorial condition influenced by demographic, beha...

The mediating effect of self-efficacy on the relationship between digital literacy and artificial intelligence anxiety in nursing students.

OBJECTIVE: The integration of digital technologies and artificial intelligence (AI) into healthcare ...

Artificial intelligence-assisted autism screening and its implications for public health policy in Indonesia.

AI-enabled therapy platforms: Clinical promise, ethical challenges, and cultural considerations in mental health Care.

The integration of artificial intelligence (AI) into mental health care presents significant opportu...

Design and Analysis of Emotion Elicitation Techniques for ECG-Based Emotion Recognition in Children with Autism Spectrum Disorder (ASD).

Children with autism spectrum disorder (ASD) face difficulties in expressing and recognizing emotion...

Enhanced multimodal MRI classification of schizophrenia through cross-attention graph neural networks.

We propose TB-GCAN, a tri-branch cross-attention graph neural network for schizophrenia classificati...

Model Development and Feasibility of Real-World Deployment of Multimodal Input-Based Subtyping of Depression in Tele-Counseling for Scalable Mental Health Assessment.

The rapid growth of tele-counseling and the use of lay counselors in high-volume, low-resource menta...

Technology anxiety and artificial intelligence readiness in nursing students: a cross-sectional study.

INTRODUCTION: As artificial intelligence (AI) becomes more common in healthcare, nursing students ne...

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to...