Latest AI and machine learning research in psychiatry for healthcare professionals.
Charting the normative and atypical trajectories of the brain's rapid early-life reorganization is crucial for understanding neurodevelopment. Although magnetic resonance imaging (MRI) enables high-resolution visualization of the structural and functional development, its application in longitudinal studies is limited by acquisition challenges, leading to severely incomplete follow-up data. To add...
OBJECTIVE: Family caregivers of persons with dementia experience grief as the care recipients' dementia advances. Here, we explore how various interpersonal factors hypothesized to relate to prolonged grief disorder (PGD) (e.g., perceived burdensomeness, thwarted belongingness) and our micro-social theory of grief (e.g., relational deprivation, self-esteem-related social support) relate to caregiv...
The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobio...
Recent research into the neural mechanisms underlying autism spectrum increasingly relies on brain network analysis; however, conventional models rema...
Deep learning has dominated modern machine learning, and feature engineering has often been neglected. Many studies still focus mainly on accuracy. Th...
Autism is a complex neurological condition characterized by repetitive behaviours, varied speech and difficulties in social interaction. Identifying a...
Major depressive disorder (MDD) may exhibit deficits in the inhibition of negative information. This study investigated whether there are inhibition d...
BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovascular events. Recent evidence suggests that the di...
BACKGROUND: Large language models (LLMs) are poised to transform mental health care, offering advanced capabilities in diagnosis, prognosis, and decis...
BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencin...
INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care ...
Student mental health is a growing global concern, with stress, nervousness, and related psychological challenges negatively affecting academic perfor...
Major Depressive Disorder (MDD) is a highly prevalent mental health condition, and a deeper understanding of its neurocognitive foundations is essenti...
OBJECTIVE: To examine how robot adoption affects workers' health in China. METHODS: Using China family panel studies data matched with regional robot ...
Currently, artificial intelligence (AI) is clinically relevant to mood and anxiety care, but the evidence base is uneven across use cases. This narrat...
BACKGROUND: Early prediction of depressive and anxiety disorders is challenging due to substantial heterogeneity in risk pathways. Conventional machin...
BACKGROUND: Schizophrenia (SCZ) is a highly heritability psychological disorder, however the exact etiology remains unclear, and lack of the reliable ...
BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, ...
BACKGROUND: Tardive dyskinesia (TD) is a common, often underrecognized movement disorder resulting from long-term antipsychotic use, yet its detection...