Latest AI and machine learning research in depression for healthcare professionals.
Depression is prevalent among individuals who smoke cigarettes and increases risk for relapse. A pr...
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and...
Organic neuromorphic platforms have recently received growing interest for the implementation and in...
OBJECTIVES: This study underscores the importance of exploring AI's creative applications in treatin...
BACKGROUND: Depression is a global mental disorder, and traditional diagnostic methods mainly rely o...
Social media platforms and online gaming sites play a pervasive role in facilitating peer interactio...
Identifying major depressive disorder (MDD) using objective physiological signals has become a press...
OBJECTIVE: This study aimed to identify key clock genes closely associated with major depressive dis...
Despite years of research, we are still not able to reliably predict who might benefit from electroc...
Despite previous efforts to build statistical models for predicting the risk of suicidal behavior us...
International students' mental health has become an increasing concern in recent years, as more stud...
BACKGROUND: This study aims to develop an artificial neural network (ANN) prediction model incorpora...
BACKGROUND: Depression and suicidal ideation often co-occur in children and adolescents, yet they po...
In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponen...
OBJECTIVE: Disrupted brain network connectivity underlies major depressive disorder (MDD). Altered E...
BACKGROUND: The absence of clinically-validated biomarkers or objective protocols hinders effective ...
BACKGROUND: In order to improve taVNS efficacy, the usage of fMRI to explore the predictive neuroima...
INTRODUCTION: Neonatal intensive care unit (NICU) admission is a stressful experience for parents. N...
BACKGROUND: Improving safe and effective access to ketamine therapy is of high priority given the gr...
OBJECTIVE: Suicide is a complex and multifactorial public health problem. Understanding and addressi...
This study introduces the Divergent Selective Focused Multi-heads Self-Attention Network (DSFMANet),...