Psychiatry

Unveiling Roots of Chinese Adolescent Cyberbullying Through Explainable Machine Learning Approach.

Cyberbullying poses a substantial threat to adolescents' well-being, yet prevention efforts remain limited by insufficient understanding of its multilevel determinants. Guided by ecological systems theory, this study applies explainable machine learning (ML) to examine factors associated with cyberbullying perpetration across individual, family, peer, class, school, and online contexts. Questionna...

Predicting the Intention to Sign an Advance Directive: A Machine Learning Model Accounting for Cultural and System-Level Factors.

PURPOSE: To develop a machine learning model for predicting Taiwanese adults' intention to sign an advance directive (AD) and to identify the psychosocial, demographic, and system-level predictors relevant to culturally sensitive nursing. This study distinguishes between the reflective process of advance care planning (ACP) and the formal legal act of AD completion, addressing the need to understa...

Re-assessing the Evidence for MR Abilities in Children Using Computational Models.

There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few be...

An Effective LRSF-DLNN-Based Autism Spectrum Disorder Prediction Using EEG and fMRI.

In today's society, autism spectrum disorder (ASD) is a common neurological disorder that affects a person's behavior and communication. Hence, an ear...

From Tradition to Future in Veterinary Public Health Education: Students' Attitudes, Anxiety and Experiences With AI-Supported Learning.

BACKGROUND: Artificial intelligence (AI) has the potential to reshape learning processes, especially through tools such as ChatGPT. OBJECTIVES: This s...

Knowing How to Ask About Digital Culture in Youth Mental Health Care: A Co-Designed Tool.

BACKGROUND: With the digital cultures that youth are exposed to and participating in come potential risks and protective factors for their mental heal...

Understanding or undermining? When artificial intelligence chatbots quietly reinforce psychiatric symptoms.

Artificial intelligence (AI) chatbots have become widely accessible and are increasingly used by the general public for emotional support, decision-ma...

Development and validation of a machine learning model to detect psychiatric symptoms in Huntington's disease using speech analysis.

Huntington's disease (HD) causes progressive disability through motor, psychiatric, and cognitive symptoms. Machine learning speech analysis can detec...

Eros and Thanatos of the new millennium: reflections on the relationship between a young man with Asperger's syndrome and an AI chatbot from the Italian forensic medical perspective.

The authors analyze the 2024 US Court Case concerning a civil action brought by the mother of an American adolescent affected by Asperger syndrome who...

Care Robots as Emerging Health Technologies: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Global aging and health care workforce shortages are increasing demand for therapeutic support among older adult and pediatric populations...

Association of lipid profiles with suicide attempts in young adults with first-episode drug-naive major depressive disorder: a gender-specific analysis.

Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...

Hippocampal subfield radiomics improves identification of in-hospital aggressive behavior in schizophrenia: an interpretable machine-learning study.

OBJECTIVE: To evaluate hippocampal subfield radiomics for identifying aggressive behavior in hospitalized patients with schizophrenia and to validate ...

Trajectory analysis of sleep disorders and anxiety-depression in female breast cancer patients undergoing chemotherapy: based on group-based Multi-Trajectory Model and machine learning.

BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer p...

A comprehensive analysis of occupational health and safety risks in civil aviation cargo: Insights from FF-DEMATEL.

BackgroundCivil aviation cargo operations have expanded rapidly, but the occupational health and safety risks faced by cargo workers are still rarely ...

Innovations in Crisis Line Interventions.

Background: Crisis lines provide evidence-based suicide prevention support that often involves active listening, safety assessment, collaborative prob...

Esketamine multi-omic biomarker evaluation in major depressive disorder (EMBER-MDD): concept, objectives and methodologies of a non-clinical investigator-initiated study.

Treatment resistance (TR) in major depressive disorder (MDD) affects a substantial minority of patients and is hard to recognize early, delaying inten...

Development of a Reliable and Valid DSM-5-Based ADHD Self-Report Scale for 8- and 9-Year-Old Children.

We examined the validity and reliability of the DSM-5-Based Childhood ADHD Self Report Scale (DSM-5-CASRS), a self-report questionnaire developed to a...

Is Technology Remaking Therapy: The Screen and the Self: Telepsychiatry, AI Therapy, and the Defense Against Intimacy.

PURPOSE OF REVIEW: This paper examines several methods of technology that have challenged traditional expectations of the meaning of psychotherapy, fr...

Cognitive offloading, critical thinking and attitudes towards artificial intelligence in the era of ChatGPT: a comparative study of artificial intelligence-assisted and manual task performance in young adults.

Artificial Intelligence (AI) tools, like ChatGPT, are now widely integrated into a plethora of contexts. Although they present potential benefits like...

Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.

BACKGROUND AND AIMS: Identifying employees at risk for work addiction is critical for early intervention, yet systematic screening approaches face pra...