Latest AI and machine learning research in psychiatry for healthcare professionals.
This study investigates the potential of multimodal data integration, which combines electroenceph...
Understanding everyday life behavior of young adults through personal devices, e.g., smartphones a...
Major depressive disorder (MDD) is a psychiatric disorder characterized by persistent lethargy that ...
This study explores the diagnostic value of dopamine system imaging characteristics in children with...
More and more people are experiencing pressure from work, life, and education. These pressures oft...
Feature selection is an important but challenging task in causal inference for obtaining unbiased ...
Mental illness is a widespread and debilitating condition with substantial societal and personal c...
Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations...
Artificial intelligence and social computing rely on hundreds of thousands of content reviewers to...
Physical literacy is a multidimensional concept considered fundamental for lifelong participation in...
Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent and pose significa...
AIMS: This study aims of determine the mediating role of individual innovativeness in the effect of ...
Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. W...
BACKGROUND: Literature on how to translate information extracted from clinical progress notes into n...
OBJECTIVE: This study applied a machine-learning-based skill assessment system to investigate the as...
OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkins...
Speech production interferes with the measurement of changes in cardiac vagal activity during acute ...
This study presents a narrative review of the use of digital health technologies (DHTs) and artifi...
Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various n...
This paper presents the very first attempt to evaluate machine learning fairness for depression de...
Automating the generation of Planning Domain Definition Language (PDDL) with Large Language Model ...