Latest AI and machine learning research in surveys for healthcare professionals.
Concerns about the negative impacts of microplastics on human health are increasing in society, whil...
Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating hi...
: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diab...
Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...
This study proposes a deep learning-based motion assessment method that integrates the pose estimati...
The rapid integration of deep learning-powered artificial intelligence systems in diverse applicatio...
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods fro...
The development and implementation of Artificial Intelligence (AI) health systems represent a great ...
This study examines the factors that lead to the acceptance of AI-based autonomous vehicles. Despite...
A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsatura...
INTRODUCTION: This article presents a cost-effective, modular infusion platform to help diabetes spe...
The unprecedented worldwide pandemic caused by COVID-19 has motivated several research groups to dev...
Halitosis presents a significant global health concern, necessitating the development of precise and...
This study explored the relationship between negative emotions, engagement, and artificial intellige...
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred ...
This empirical study assessed the potential of developing a machine-learning model to identify child...
: Recent research has focused on exploring the relationships between various factors associated with...
In this paper, we derive diffusion equation models in the spectral domain to study the evolution of ...
This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...
Integrating machine learning (ML) models into healthcare systems is a rapidly evolving field with th...
Bioprocessing has been transitioning from batch to continuous processes. As a result, a considerable...