Data modelling and analysis have become a recent trend in medical and healthcare
applications for their ease of visualization and handling. To keep up with the vast amount of …

Background: The current literature identifies several potential benefits of artificial intelligence
models for populations' health and health care systems' efficiency. However, there is a lack …

Background Across the globe, diseases secondary to environmental exposures have been
described, and it was also found that existing diseases have been modified by exposure to …

Objectives: To perform a comprehensive bibliometric analysis of global publications on the
applications of artificial intelligence (AI) in cardiology. Methods: Documents related to AI in …

Objective Procalcitonin levels above 2.0 ng/mL are associated with a higher risk of severe
sepsis. Bacteremia with procalcitonin levels lower than 2.0 ng/mL has not received much …

Semantic data integration is the process of interrelating information from multiple
heterogenous resources. There is a need for representation of data concepts and their …

This article summarizes the state-of-the-art research agenda of artificial intelligence (AI)-
based population health, reviewing how AI can be integrated to different tasks and stages of …

Artificial intelligence (AI) enables machines to extract, integrate, exchange, and analyze
large heterogeneous datasets to answer complex problems in a timely manner. The promise …

Knowledge graphs have emerged as a powerful dynamic knowledge representation model
for predicting hidden patterns and relationships in medical and healthcare domains for …

Nanotechnology plays a significant role in various interdisciplinary fields of science and
technology. The role of therapeutic nanoparticles has been prominent in medicine and …