The integration of large language models (LLMs), such as those in the Generative Pre-
trained Transformers (GPT) series, into medical education has the potential to transform …

Abstract Background and Aims This systematic review examined healthcare students'
attitudes, knowledge, and skill in Artificial Intelligence (AI). Methods On August 3, 2022 …

BACKGROUND As medicine and the delivery of healthcare enters the age of Artificial
Intelligence (AI), the need for competent human–machine interaction to aid clinical decisions …

Background: This study aimed to develop a theoretical model to explore the behavioral
intentions of medical students to adopt an AI-based Diagnosis Support System. Methods …

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 …

Rationale and Objectives The introduction of AI in radiology has prompted both excitement
and hesitation within the field. We performed a systematic review of original studies …

Background: Human society has entered the age of artificial intelligence, medical practice
and medical education are undergoing profound changes. Artificial intelligence (AI) is now …

Background: Given the rapidity with which artificial intelligence is gaining momentum in
clinical medicine, current physician leaders have called for more incorporation of artificial …

Technological breakthroughs, together with the rapid growth of medical information and
improved data connectivity, are creating dramatic shifts in the health care landscape …