Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: AI is increasingly being explored as a tool to enhance efficiency, access, and diagnostic accuracy in mental health care. However, the perspectives of clinicians, who are central to the delivery and oversight of care, on the use of AI remain underexamined. OBJECTIVE: This study aimed to explore clinicians' perceptions of AI in clinical care, including perceived benefits, risks, barrier...
BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, most research has specifically examined post-traumatic stress disorder-despite evidence that a range of psychiatric disorders may follow trauma. We applied machine learning to identify key post-traumatic psychiatric predictors of incident major adverse...
Depression is a chronic mental disorder with high disability and mortality rates, affecting approximately 95 million individuals in China alone. The l...
BACKGROUND: Psychiatry needs objective technological tools to address global staffing shortages, stigma, and other systemic challenges. An AI-based sy...
Artificial intelligence (AI) is increasingly influencing nursing practice and care delivery. This cross-sectional correlational study examined nurses'...
BACKGROUND: Major depressive disorder exists along a continuum, from health through remission to active depression. Differentiating these states remai...
The human cortex is complex and heterogeneous, undergoing extensive expansion during development1,2. Our prior study of neurogenesis, including radial...
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent impairments in social communication, restricted i...
OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG) index and platelet-to-lymphocyte ratio (PLR) wit...
BACKGROUND CONTEXT: Low back pain (LBP) is a leading cause of disability worldwide, yet population-level stratification of LBP risk remains limited. U...
BACKGROUND: Chronic rhinosinusitis (CRS) is associated with substantial psychological burden, yet tools for identifying patients with psychological di...
BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...
BACKGROUND: Nonadherence to antipsychotics affects nearly half of patients with schizophrenia, leading to rehospitalization, suicidality, and reduced ...
INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...
Ambient artificial intelligence (AI) documentation tools, known as AI scribes, have entered psychiatric clinical practice, bundling at least three ope...
Neuropsychiatric symptoms (NPS) are the most clinically consequential manifestations of dementia, yet they are frequently underestimated as secondary ...
OBJECTIVE: White matter (WM), as the critical infrastructure for neural communication, is implicated in pediatric bipolar disorder (PBD) pathophysiolo...
AIMS: Cross-national research on mental health trajectories requires harmonised measures that are valid and comparable. However, measurement scales of...
BACKGROUND: Post-traumatic stress disorder (PTSD) symptoms can fluctuate substantially over short periods, yet routine screening typically relies on i...
Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic approaches rely on subjective behavioral assessments...