Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: The global rise of K-pop has shaped youth culture and online communities, particularly through BTS, a South Korean boy band with an international fanbase known as ARMY (Adorable Representative MC for Youth). Music fandoms are increasingly engaging with digital platforms such as YouTube not only for entertainment but also as spaces for emotional expression and mutual support. Despite gr...
BACKGROUND AND AIMS: Takotsubo syndrome (TTS) closely mimics acute coronary syndrome (ACS). Early differentiation remains challenging because diagnosis currently relies on medical, psychiatric, and neurological history, repeated cardiac imaging, and exclusion of a culprit epicardial coronary artery lesion, generally with invasive coronary angiography (ICA). The aim of this study was to develop and...
INTRODUCTION: Artificial intelligence technologies are increasingly transforming mental healthcare through predictive analytics, language-based system...
At the 2026 World Economic Forum (WEF) Annual Meeting in Davos, health was positioned as central to economic resilience, productivity, and geopolitica...
Voice-based analysis is attracting growing interest as a noninvasive means of identifying early markers of autism spectrum disorder (ASD). While pretr...
Burnout is a pervasive challenge in the mental health field, particularly among practitioners treating serious mental illness. Although skills-based t...
IMPORTANCE: Adolescents are increasingly using generative artificial intelligence (AI) as an anonymous emotional support system, yet the association b...
BackgroundWe evaluated whether summaries and large language models (LLMs) preserve predictive performance for inpatient violence risk and assessed per...
Background and Purpose: Most nursing students report having limited knowledge about artificial intelligence, which may lead to anxiety and fear regard...
Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental condition marked by heterogeneity in its clinical presentations, which complicat...
This study aimed to identify copper and zinc metabolism-related genes as potential diagnostic biomarkers for major depressive disorder through an inte...
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging e...
Synaptic dysfunction is a major driver of cognitive decline in Alzheimer's disease (AD), yet its extent and molecular basis in the retina remain poorl...
Generative artificial intelligence (GenAI) is rapidly transforming the context in which adolescents develop, presenting both opportunities and risks. ...
In clinical practice, objectively distinguishing children with autism spectrum disorder (ASD) from those with typical development (TD) and other neuro...
Automated depression assessment from clinical interviews is a challenging intelligent healthcare task because depressive states are reflected not only...
INTRODUCTION: The course of psychotic disorders typically involves relapses. Early warning signs vary between individuals and are difficult to detect ...
PURPOSE: To develop and internally validate interpretable machine-learning models for identifying individuals with a higher probability of overactive ...
BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains...
The rapid integration of artificial intelligence into clinical voice research has created promising opportunities for the early identification of ment...