Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: Artificial intelligence models are increasingly gaining popularity among patients and healthcare professionals. While it is impossible to restrict patient's access to different sources of information on the Internet, healthcare professional needs to be aware of the content-quality available across different platforms.
In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Database. The caloric content of foods was estimated using the nutritional composition (i.e., carbohydrates, protein, total lipid, and total sugar content) ...
The recent destruction brought upon the Appalachian region by Hurricane Helene has emphasized the importance of the . As an open-access peer-reviewed ...
With Industry 4.0, big data and artificial intelligence have become paramount in the field of medicine. Electronic health records, the primary source ...
Legionella pneumophila (L. pneumophila) is a pathogenic bacterium primarily known for causing Legionnaires' Disease which is known for high mortality ...
The integration of artificial intelligence (AI) into healthcare systems within low-middle income countries (LMICs) has emerged as a central focus for ...
Natural language processing (NLP) is crucial to extract information accurately from unstructured text to provide insights for clinical decision-making...
Despite its critical importance for health, agriculture, and the economy, and its key role in supporting climate change adaptation, groundwater qualit...
The Internet of Health Things (IoHT) is a broader version of the Internet of Things. The main goal is to intervene autonomously from geographically di...
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI A...
Background Health literacy empowers patients to participate in their own healthcare. Personal health literacy is one's ability to find, understand, an...
Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool for cross-cultural neuroimaging studies. However, the reproducibility an...
This study was conducted to provide empirical evidence of geographical variations of neonatal mortality and its associated social determinants with a ...
BACKGROUND: Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each year. At present, numerous studies have confirmed...
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced th...
The rapid advancement of artificial intelligence (AI) in healthcare has the potential to revolutionize the global healthcare sector and medicine in ge...
The advent of artificial intelligence (AI) revolutionizes the ways of working in many areas of business and life science. In Medical Affairs (MA) depa...
INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortality in low-income and middle-income countries. A key...
Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real ...
Although low-cost air quality sensors facilitate the implementation of denser air quality monitoring networks, enabling a more realistic assessment of...