Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

Background The number of artificial intelligence (AI) studies in medicine has exponentially
increased recently. However, there is no clear quantification of the clinical benefits of …

Artificial intelligence (AI) for healthcare presents potential solutions to some of the
challenges faced by health systems around the world. However, it is well established in …

Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …

The human immune system is very complex. Understanding it traditionally required
specialized knowledge and expertise along with years of study. However, in recent times …

Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …

Abstract Forms of Artificial Intelligence (AI) are already being deployed into clinical settings
and research into its future healthcare uses is accelerating. Despite this trajectory, more …

Research into using artificial intelligence (AI) in health care is growing and several
observers predicted that AI would play a key role in the clinical response to the COVID-19 …

Aim The emergence and evolution of artificial intelligence (AI) has generated increasing
interest in machine learning applications for health care. Specifically, researchers are …

Effective deployment of AI tools in primary health care requires the engagement of
practitioners in the development and testing of these tools, and a match between the …