Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is
increasingly becoming evident, it becomes likely that AI will be incorporated in routine …

Abstract Machine learning (ML) and its applications in healthcare have gained a lot of
attention. When enhanced computational power is combined with big data, there is an …

The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …

Background: Since the advent of artificial intelligence (AI) in 1955, the applications of AI
have increased over the years within a rapidly changing digital landscape where public …

Purpose Artificial intelligence (AI) is a rapidly growing phenomenon poised to instigate large-
scale changes in medicine. However, medical education has not kept pace with the rapid …

Background: The use of artificial intelligence (AI) in medicine will generate numerous
application possibilities to improve patient care, provide real-time data analytics, and enable …

Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …

Background: The effects of Artificial Intelligence (AI) technology applications are already felt
in healthcare in general and in the practice of medicine in the disciplines of radiology …

Introduction Surveys conducted internationally have found widespread interest in artificial
intelligence (AI) amongst medical students. No similar surveys have been conducted in …