Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Generalized Anxiety Disorder (GAD) is a chronic condition. Enabling the prediction of in...
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughnes...
INTRODUCTION: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becomin...
BACKGROUND: Recent advancements in artificial intelligence (AI) have changed the care processes in m...
BACKGROUND: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting...
OBJECTIVES: To assess glymphatic function and white matter integrity in children with autism spectru...
BACKGROUND: Prevention of suicide is a global health priority. Approximately 800,000 individuals die...
BACKGROUND: Depression and anxiety are prevalent mental health conditions among individuals with typ...
The act of responsibly engaging with the world is referred to as environmental sustainability. It en...
: Recent research has focused on exploring the relationships between various factors associated with...
BACKGROUND: Depressive symptoms in adolescents can significantly affect their daily lives and pose r...
Functional connectivity holds promise as a biomarker of schizophrenia. Yet, the high dimensionality ...
INTRODUCTION: Activation of the inflammatory response system is involved in the pathogenesis of gene...
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in s...
Anomalous chromosomes are the cause of genetic diseases such as cancer, Alzheimer's, Parkinson's, ep...
BACKGROUND: Antenatal depression (AND), occurring during pregnancy, is associated with severe outcom...
Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior, represent ...
In this Personal View, we critically evaluate the limitations and underlying challenges of existing ...
BACKGROUND: Prediction models have demonstrated a range of applications across medicine, including u...
This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...
Machine learning models are vital for forecasting and optimizing healthcare parameters, especially i...