Psychiatry

Innovative AI-based system for precision diagnosis of childhood strabismus incorporating gaze tracking and real-time correction feedback.

PurposeStrabismus is a common pediatric eye disorder that can lead to developmental and psychosocial consequences if not treated promptly. Traditional diagnostic methods often depend on clinician expertise, which can result in variability and delayed intervention.MethodsA prospective diagnostic accuracy trial was conducted with 250 children aged 3 to 10 years. Eye-tracking and image data were coll...

Zero-Shot Large Language Models for Preliminary Prediction of PTSD Symptoms From Clinical Interview Transcripts: Grands modèles de langage sans exemple pour la prédiction préliminaire des symptômes de TSPT à partir de transcriptions d'entrevues cliniques.

BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the reliance on self-report instruments. Large language models (LLMs) have shown promise in extracting clinically relevant information from unstructured language, but their ability to infer item-level PTSD symptom severity from clinical interviews remains uncl...

User-Reported Issues With Mental Health Apps: Machine-Assisted Topic Analysis of Social Media Posts.

BACKGROUND: Mobile apps marketed to support mental health have become increasingly popular in recent years. Given their widespread use, it is importan...

A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation.

BACKGROUND: Patients undergoing invasive procedures frequently experience anxiety and often have unanswered questions regarding the procedure. Althoug...

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

Neuronal functional diversity and pathological vulnerability are governed by multi-layered regulatory programs. While high-throughput omics and neuroi...

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

BACKGROUND: Canadian psychiatry residents must demonstrate consultation competency, assessed using the standardized assessment of a clinical encounter...

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, characterized by fluctuating clinical courses that affect appr...

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 assisted radical prostatectomy for localized prostate ca...

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 clinical outcomes, decreased anxiety, and increased patie...

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 increasing attention across disciplines. However, e...

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 significant public health concerns; however, many affected i...

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 algorithmic analysis and is increasingly trialed in ac...

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 loss therapies, yet many concerns never reach prov...

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

BACKGROUND: In-person assessments face accessibility, scalability, and geographic diversity challenges, especially for rare diseases. Additionally, Ce...

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 worldwide. Tumor recurrence, distant metastases, a...

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, behavioral, and health-related factors. Oral functiona...

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 has transformed nursing education, while also rais...

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 opportunities to address gaps in access, affordability, a...

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 emotions resulting in meltdowns and aggressive situations...