LTP Prod Release Test. (Preprint)

Background: Incremental advancements in Artificial Intelligence (AI) technology have facilitated its integration into various disciplines.In particular, the infusion of AI into medical education has emerged as a significant trend with noteworthy research findings.Consequently, a comprehensive review and analysis of the current research landscape of AI in medical education is warranted.Objective: This study aims to conduct a bibliometric analysis of pertinent papers spanning the years 2013-2022 using CiteSpace and VOS viewer.The study visually represents the existing research status and trends of AI in medical education.Methods: Articles related to AI and medical education, published between 2013 and 2022, were systematically searched in the Web of Science core database.Two reviewers scrutinized the initially retrieved papers based on their title and abstract to eliminate papers unrelated to the topic.The selected papers were then analyzed and visualized for country, institution, author, reference, and keywords using CiteSpace and VOS viewer.