Approximately 15% of US adults have circulating levels of uric acid above its solubility limit,
which is causally linked to the disease gout. In most mammals, uric acid elimination is …

In the coming years, artificial intelligence (AI) and machine learning will likely give rise to
profound changes in the field of emergency medicine, and medicine more broadly. This …

Aim To assess whether adults with diabetes on oral hypoglycaemic agents undergoing
general endotracheal anaesthesia during nine common surgical procedures who are …

Primary care physicians are likely both excited and apprehensive at the prospects for
artificial intelligence (AI) and machine learning (ML). Complexity science may provide …

Statin therapy is the cornerstone of preventing atherosclerotic cardiovascular disease
(ASCVD), primarily by reducing low density lipoprotein cholesterol (LDL-C) levels. Optimal …

Background One key aspect of a learning health system (LHS) is utilizing data generated
during care delivery to inform clinical care. However, institutional guidelines that utilize …

Objective Automated machine learning (autoML) platforms allow health care professionals
to play an active role in the development of machine learning (ML) algorithms according to …

1. Dunlay SM, Givertz MM, Aguilar D, et al. Type 2 diabetes mellitus and heart failure: a
scientific statement from the American Heart Association and the Heart Failure Society of …

Background Precision health is a burgeoning scientific discipline that aims to incorporate
individual variability in biological, behavioral, and social factors to develop personalized …

Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy
literature as well as difficulty in contextualizing existing research for a specific patient. Large …