Psychiatry

Identifying frailty trajectories in older patients with acute myocardial infarction using structural entropy clustering: a prospective cohort study.

BACKGROUND: Frailty significantly complicates clinical outcomes in older adults with acute myocardial infarction, yet its progression is dynamic and heterogeneous. This study aimed to identify distinct frailty trajectory patterns and their predictors using a machine learning approach, to support evidence-based nursing interventions. METHODS: A prospective cohort study was conducted, enrolling 583 ...

Toward precision prevention: machine learning-identified risk and protective factors for distinct bullying victimization types among Chinese adolescents.

BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adverse outcomes and influencing factors, yet predictive models for specific types remain scarce. Collapsing these distinct victimization types into a single outcome may obscure critical differences essential for tailored prevention. Therefore, this stu...

Digital Media Use and Psychosocial Health among Adolescent Boys and Young Men.

PURPOSE OF REVIEW: To synthesize recent literature highlighting how and why adolescent boys and young men may face unique media-related psychosocial h...

EEG-Based Clustering Shows Distinct Separation of Chronic Pain Patients Before Spinal Cord Stimulation Surgery.

Chronic pain is associated with disrupted cortical activity, yet individual variability in these neural patterns remains poorly understood. Electroenc...

Acoustics of depression.

BACKGROUND: The sound of speech reflects the speaker's mood in a way that may enable objective measurement of depression from speech audio recordings....

TF-MCL: Time-frequency fusion and multi-domain cross-loss for self-supervised depression detection.

In recent years, there has been a notable increase in the use of supervised detection methods of major depressive disorder (MDD) based on electroencep...

Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review.

BACKGROUND: Major depressive disorder (MDD) affects approximately 1 in 6 adults during their lifetime, yet antidepressant selection relies predominant...

BrainPrompt+: Multi-Level Brain Prompt Learning for Knowledge-Guided Neurological Disorder Identification.

Accurate identification of neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Autism Spectrum Disorder (ASD) is ch...

Transforming Pediatric Care Through AI: Bridging the Digital Divide in Health Informatics.

Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health sys...

Deriving personalized HRM practices using employee-AI collaboration: A shared mental model approach.

This study aims to investigate the relationship between shared mental model and personalized HRM practices. The study further investigates the mediati...

Emulated trial of artificial intelligence use and subsequent depressive outcomes in a survey of US adults.

BACKGROUND: Generative artificial intelligence (AI) use has been suggested to have adverse mental health consequences but a causal relationship has no...

An evaluation of various parts of face to identify facial paralysis using temporal convolutional neural network model.

Facial paralysis severely changes the individual's life and enlarges the physician's need for precise analysis and grading of facial paralysis for app...

Automating multi-label crisis detection in psychological support hotlines with pre-trained models.

Psychological support hotlines provide immediate help to individuals in crisis, with operators assessing emotional states and suicide risk. However, i...

AI-driven multimodal simulation for psychiatric clinical education: conceptual framework and preliminary validation of the cognitive core.

BACKGROUND: The global shortage of psychiatrists limits learners' exposure to authentic patient encounters. Simulation can support scalable deliberate...

Quality of Autism Information Generated by Artificial Intelligence Tools: Implications for Paediatric Care.

AIM: Families increasingly turn to artificial intelligence (AI) tools for information about autism spectrum disorder (ASD), often during early childho...

The Role of Artificial Intelligence in Facial Reanimation Outcomes-A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied to assess facial reanimation outcomes. However, its clinical utility and evidence hav...

Developing a Clinical Prediction Model for Nonimprovement of Depressive Symptoms at Discharge After Treatment of Eating Disorders.

OBJECTIVE: Depressive symptoms are highly prevalent among people with eating disorders (ED). Although at the group level, depressive symptoms tend to ...

Self-Identified Age Cohorts and Personal Experience Sharing in Pseudonymous Online Spaces: Natural Language Processing Analysis of Reddit.

BACKGROUND: While older adults' social media use has been widely studied for its instrumental benefits, such as accessing health information or mainta...

Who Is Getting the Help They Need? An AI-Driven Study of Intersectional Disparities in Mental Health Service Utilization Among Young Adults with Suicidal Ideation.

Despite the critical role of mental health services in suicide prevention, disparities in service utilization persist across various individual and so...

Digital patient education and its role in overcoming dental anxiety and barriers to endodontic care.

Dental fear and anxiety (DFA) serve as a significant obstacle to oral healthcare, affecting approximately 15% of the adult population. In endodontics,...