Latest AI and machine learning research in psychiatry for healthcare professionals.
Ambient artificial intelligence (AI) documentation tools, known as AI scribes, have entered psychiat...
Neuropsychiatric symptoms (NPS) are the most clinically consequential manifestations of dementia, ye...
OBJECTIVE: White matter (WM), as the critical infrastructure for neural communication, is implicated...
AIMS: Cross-national research on mental health trajectories requires harmonised measures that are va...
BACKGROUND: Post-traumatic stress disorder (PTSD) symptoms can fluctuate substantially over short pe...
Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic ap...
BACKGROUND: The global rise of K-pop has shaped youth culture and online communities, particularly t...
BACKGROUND AND AIMS: Takotsubo syndrome (TTS) closely mimics acute coronary syndrome (ACS). Early di...
INTRODUCTION: Artificial intelligence technologies are increasingly transforming mental healthcare t...
At the 2026 World Economic Forum (WEF) Annual Meeting in Davos, health was positioned as central to ...
Voice-based analysis is attracting growing interest as a noninvasive means of identifying early mark...
Burnout is a pervasive challenge in the mental health field, particularly among practitioners treati...
IMPORTANCE: Adolescents are increasingly using generative artificial intelligence (AI) as an anonymo...
Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental condition marked by heterogene...
This study aimed to identify copper and zinc metabolism-related genes as potential diagnostic biomar...
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, ...
Synaptic dysfunction is a major driver of cognitive decline in Alzheimer's disease (AD), yet its ext...
In clinical practice, objectively distinguishing children with autism spectrum disorder (ASD) from t...
Automated depression assessment from clinical interviews is a challenging intelligent healthcare tas...
INTRODUCTION: The course of psychotic disorders typically involves relapses. Early warning signs var...
PURPOSE: To develop and internally validate interpretable machine-learning models for identifying in...