Objective With the recent increase in research into public views on healthcare artificial
intelligence (HCAI), the objective of this review is to examine the methods of empirical …

Patients and members of the public are the end users of healthcare, but little is known about
their views on the use of artificial intelligence (AI) in healthcare, particularly in the Japanese …

Background This paper reviews nationally representative public opinion surveys on artificial
intelligence (AI) in the United States, with a focus on areas related to health care. The …

Objectives Medical artificial intelligence (AI) has been used widely applied in clinical field
due to its convenience and innovation. However, several policy and regulatory issues such …

Objectives Given widespread interest in applying artificial intelligence (AI) to health data to
improve patient care and health system efficiency, there is a need to understand the …

Background In recent years, innovations in artificial intelligence (AI) have led to the
development of new healthcare AI (HCAI) technologies. Whilst some of these technologies …

Abstract Background “Artificial intelligence”(AI) is often referred to as “augmented human
intelligence”(AHI). The latter term implies that computers support—rather than replace …

Background The rhetoric surrounding clinical artificial intelligence (AI) often exaggerates its
effect on real-world care. Limited understanding of the factors that influence its …

Objective: Artificial intelligence (AI) provides people and professionals working in the field of
participatory health informatics an opportunity to derive robust insights from a variety of …

Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …