Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Estimating future water stress under socioeconomic and climate change is crucial for sustainable management. However, previous studies in China normally rely on assumptions, lack region-specific calibration, or apply inconsistent scenarios for water resources and demand. This study develops a new modelling framework integrating machine learning with a land surface model to evaluate Water Stress In...
This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile applications, artificial intelligence (AI), and digital psychotherapy. Apps with cognitive behavioural therapy (CBT) and crisis help worked well, but there were worries about keeping users engaged and data safe. AI tools were good at spotting suicide risk (72-93% accurate) by looking at social media ...
The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in d...
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI...
BACKGROUND: Police cadets undergo persistent and elevated stress due to continuous training and evaluation. Identifying resilience and risk factors in...
BACKGROUND: Oxidative stress plays a crucial role in the development of diabetic foot ulcers (DFU). However, its underlying mechanisms are not fully u...
Machine Learning (ML) is a promising approach for predicting outcomes of youth anxiety treatments. To this end, data from nine randomized controlled t...
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investig...
Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress involves assessing an individual's physiological and p...
Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. However, current noninvasive diagnostic methods face si...
Online videos are vital for health education and medical decision-making, but their comment sections often spread misinformation, causing anxiety and ...
Mental stress is a prevalent issue in modern society, and detecting and classifying it accurately is crucial for effective interventions and treatment...
The movement of overburden strata under valley geomorphological conditions presents significant challenges for ground pressure control and the protect...
BACKGROUND: Artificial Intelligence (AI) integration in healthcare education represents a critical technological advancement that requires careful exa...
BACKGROUND: AI learning anxiety and job substitution anxiety hinder the use of AI in healthcare. Primary nurses lack training resources, a strong sens...
BACKGROUND: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptanc...
BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent reward-seeking behaviors, leading to serious physical...
Stress responses in biological systems arise from complex, dynamic interactions among genes, proteins, and metabolites. A thorough understanding of th...
Drug-induced cardiotoxicity poses a significant risk to human health, and reliable predictive models are needed for safety assessment. In this study, ...
Loneliness, social isolation, and anxiety affect millions of people across the world. Communication technologies, including artificial intelligence (A...