Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Stress significantly contributes to both mental and physical disorders, yet traditional self-reported questionnaires are inherently subjective. In this study, we introduce a novel framework that employs geometric machine learning to detect stress from raw EEG recordings. Our approach constructs graphs by integrating structural connectivity (derived from electrode spatial arrangement) with functi...
BACKGROUND: Artificial intelligence (AI) is increasingly used in healthcare interventions to provide accessible, continuous, and personalized patient support. This study investigates the impact of a mobile breastfeeding counseling application developed with artificial AI on mothers' breastfeeding self-efficacy, success, and anxiety levels.
Group conversations are valuable for second language (L2) learners as they provide opportunities to practice listening and speaking, exercise comple...
Existing stress-management tools fail to account for the timing and contextual specificity of students' daily lives, often providing static or misal...
Recent advancements in Large Language Models have inspired the development of foundation models across various domains. In this study, we evaluate t...
Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growth, development and productivity. As the planet has...
The COVID-19 pandemic has significantly increased the incidence of post-infection cardiovascular events, particularly myocardial infarction, in indi...
Understanding how plants adapt their physiology to overcome severe and often multifactorial stress conditions in nature is vital in light of the clima...
College students are increasingly affected by stress, anxiety, and depression, yet face barriers to traditional mental health care. This study evalu...
Large language models (LLMs) hold significant potential for mental health support, capable of generating empathetic responses and simulating therape...
Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug landscape. They can be highly potent, and coupled with...
Large language models (LLMs), inspired by neuroscience, exhibit behaviors that often evoke a sense of personality and intelligence-yet the mechanism...
This study investigates plant stress assessment by integrating advanced sensor technologies and Artificial Intelligence (AI). Multi-sensor data-includ...
Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that arises in response to exposure to a traumatic event. ...
Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stroke survivors develop depression and about 20% deve...
BACKGROUND: Shame and stigma often prevent individuals with social anxiety disorder (SAD) from seeking and attending costly and time-intensive psychot...
Plants have evolved diverse adaptive mechanisms to sense and respond to environmental stimuli such as cadmium stress. The regulation of gene expressio...
BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global warming, have become increasingly prevalent in th...
To tackle work-related stress in the evolving landscape of Industry 5.0, organizations need to prioritize employee well-being through a comprehensive ...
BACKGROUND: In light of the heightened expectations surrounding the development of foreign language professionals in the age of artificial intelligenc...