Latest AI and machine learning research in anxiety & stress for healthcare professionals.
This study investigates the potential of multimodal data integration, which combines electroenceph...
More and more people are experiencing pressure from work, life, and education. These pressures oft...
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that...
Mental illness is a widespread and debilitating condition with substantial societal and personal c...
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 ...
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...
The Mental Health Question Answer (MHQA) task requires the seeker and supporter to complete the su...
Protein-based therapeutics play a pivotal role in modern medicine targeting various diseases. Desp...
Traditional in-person psychological counseling remains primarily niche, often chosen by individual...
Depressive and anxiety disorders are widespread, necessitating timely identification and managemen...
Problem-solving therapy (PST) is a structured psychological approach that helps individuals manage...
In this paper we develop a mathematical model combined with machine learning techniques to predict...
Stress can increase the possibility of cognitive impairment and decrease the quality of life in ol...
By use of complex network dynamics and graph-based machine learning, we identified critical determ...
Large language models (LLMs) are increasingly attracting the attention of healthcare professionals...
Exposing tomatoes to salt stress has been reported to increase the fruit sugar content (°Brix); howe...
Psychiatric disorders are complex, multi-dimensional pathologies rooted in diverse cognitive process...
Studying cell-to-cell heterogeneity is essential to understand how unicellular organisms respond to ...
Despite advances in artificial intelligence (AI) within cancer research, its application toward real...