This article presents a mapping review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

Introduction Recent developments in the field of Artificial Intelligence (AI) applied to
healthcare promise to solve many of the existing global issues in advancing human health …

The increasing implementation of and reliance on machine-learning (ML) algorithms to
perform tasks, deliver services and make decisions in health and healthcare have made the …

The application of artificial intelligence and machine learning (ML) technologies in
healthcare have immense potential to improve the care of patients. While there are some …

Context: Recently, the machine learning (ML) field has been rapidly growing, mainly owing
to the availability of historical datasets and advanced computational power. This growth is …

Applications of artificial intelligence/machine learning (AI/ML) in health care are dynamic
and rapidly growing. One strategy for anticipating and addressing ethical challenges related …

Background 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 …

This article expands on recent studies of machine learning or artificial intelligence (AI)
algorithms that crucially depend on benchmark datasets, often called 'ground truths.'These …

In this paper, we analyse patients' perspectives on the introduction of artificial intelligence
(AI) and robotic systems in healthcare. Based on citizens' experiences when hospitalised for …

Despite the great promises that artificial intelligence (AI) holds for health care, the uptake of
such technologies into medical practice is slow. In this paper, we focus on the …