Latest AI and machine learning research in psychiatry for healthcare professionals.
Objective biobehavioral markers for mental health conditions remain elusive, with diagnosis typically relying on self-reports and clinical interviews. We investigate eye tracking as a potential marker of attentional and mood biases associated with symptoms of depression and suicidal ideation from self-reported screening questionnaires. We analyze eye movements from 126 young adults during reading ...
AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions. METHODS: The review adhered to PRISMA guidelines and was pre-registered on PROSPERO (CRD420251167053). Comprehensive searches were c...
Integrating functional brain networks and Graph Convolutional Networks (GCN) architecture reveal promising diagnostic capabilities for brain disorders...
Early depression detection is a critical task in public health, making automatic depression identification increasingly important. Existing multimodal...
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder involving cognitive and social impairments. Precise diagnosis is vital for effective i...
BACKGROUND: Identifying patients with first-episode psychosis (FEP) at high mortality risk may facilitate personalized treatment regimen development a...
Posttraumatic stress disorder (PTSD) has been associated with structural brain alterations, suggesting accelerated brain aging. Evidence from peripher...
Adolescent suicide is a growing public health crisis, particularly in South Korea, which has one of the highest youth suicide rates among Organization...
Studies of human social behavior indicate stronger social affinity in matched-neurotype dyads (e.g., two individuals with autism or two without) compa...
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder worldwide, affecting approximately 5%-7%...
OBJECTIVES: Suicide risk assessments currently rely on subjective clinical judgement, lacking objective measures. This study aimed to evaluate the ass...
BACKGROUND: Apathy, depression and anhedonia are clinically overlapping constructs, which hinders diagnostic clarity and treatment development. This s...
OBJECTIVES: Clarification of the strengths and weaknesses of cognitive ability is essential to our understanding of the characteristics of autism spec...
BACKGROUND: Identifying baseline clinical characteristics associated with treatment response is crucial for optimising intervention strategies in peop...
Syntaxin1A (STX1A) is a presynaptic membrane protein that is abundantly expressed in the central nervous system. It is a key member of the soluble N-e...
This study evaluates patient engagement and satisfaction with Everyday Medical Monitoring Ally (E.M.M.A), a purpose-trained artificial intelligence (A...
Eating disorders are complex conditions with high relapse and mortality rates, and fewer than half of adults achieve clinically significant improvemen...
Qualitative research offers important insight into lived experiences of individuals with traumatic brain injury (TBI), particularly in the chronic pha...
EEG-based ADHD diagnosis models suffer from two persistent issues: data leakage and the lack of physiologically grounded interpretability, limiting cl...