Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Microstructure quantification is an important step towards establishing structure-property relationships in materials. Machine learning-based image processing methods have been shown to outperform conventional image processing techniques and are increasingly applied to microstructure quantification tasks. In this work, we present a 3D variational autoencoder (VAE) for encoding microstructure vol...
Humanoid robots are anticipated to acquire a wide range of locomotion capabilities while ensuring natural movement across varying speeds and terrains. Existing methods encounter a fundamental dilemma in learning humanoid locomotion: reinforcement learning with handcrafted rewards can achieve agile locomotion but produces unnatural gaits, while Generative Adversarial Imitation Learning (GAIL) wit...
We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS) implants with artificial intelligence-driven wea...
Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance ...
Computer programming represents a rapidly evolving and sought-after career path in the 21st century. Nevertheless, novice learners may find the proc...
Prosody plays a crucial role in speech perception, influencing both human understanding and automatic speech recognition (ASR) systems. Despite its ...
Graph Neural Networks (GNNs) have achieved significant success in machine learning, with wide applications in social networks, bioinformatics, knowl...
Dream narratives provide a unique window into human cognition and emotion, yet their systematic analysis using artificial intelligence has been unde...
Deep learning's growing prevalence has driven its widespread use in healthcare, where AI and sensor advancements enhance diagnosis, treatment, and m...
We use a duoethnographic approach to study how wearable-integrated LLM chatbots can assist with personalized stress management, addressing the growi...
Mental health remains a challenging problem all over the world, with issues like depression, anxiety becoming increasingly common. Large Language Mo...
Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety significantly influencing both the manifestation ...
This study investigates the potential of multimodal data integration, which combines electroencephalogram (EEG) data with sociodemographic character...
More and more people are experiencing pressure from work, life, and education. These pressures often lead to an anxious state of mind, or even the e...
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that plays a crucial role in the detailed visualizatio...
Mental illness is a widespread and debilitating condition with substantial societal and personal costs. Traditional diagnostic and treatment approac...
Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent and pose significant challenges to emotional well-being. Traditional...
AIMS: This study aims of determine the mediating role of individual innovativeness in the effect of nursing students' artificial intelligence anxiety ...
Speech production interferes with the measurement of changes in cardiac vagal activity during acute stress by attenuating the expected drop in heart r...
This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and...