Background Artificial intelligence (AI) technologies are increasingly used in clinical practice.
Although there is robust evidence that AI innovations can improve patient care, reduce …

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

Background Emerging artificial intelligence (AI) technologies have diverse applications in
medicine. As AI tools advance towards clinical implementation, skills in how to use and …

Objectives To explore the attitudes of United Kingdom (UK) medical students regarding
artificial intelligence (AI), their understanding, and career intention towards radiology. We …

Objectives To assess undergraduate medical students' attitudes towards artificial
intelligence (AI) in radiology and medicine. Materials and methods A web-based …

Background There has been growing acknowledgement that undergraduate medical
education (UME) must play a formal role in instructing future physicians on the promises and …

Objectives: The medical community is in agreement that artificial intelligence (AI) will have a
radical impact on patient care in the near future. The purpose of this study is to assess the …

Purpose Artificial intelligence (AI) is playing an increasingly important role in healthcare and
health professions education. This study explored medical students' and interns' knowledge …

Background As the information age wanes, enabling the prevalence of the artificial
intelligence age; expectations, responsibilities, and job definitions need to be redefined for …

The exponential growth of artificial intelligence (AI) in the last two decades has been
recognized by many as an opportunity to improve the quality of patient care. However …