Accepted for/Published in: JMIR Medical Education
Date Submitted: Jul 31, 2023
Date Accepted: Apr 30, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The application of Artificial Intelligence to medical education in the last decade - a bibliometric analysis
ABSTRACT
Background:
As an important driving force leading a new round of scientific and technological revolution and industrial transformation, Artificial Intelligence (AI) has spawned a large number of new products, new technologies, new formats and new models, and also brought more possibilities for the modernization of medical education. Looking into the future, we should work together to build a high-quality and warm AI medical education ecology. How to make human-machine collaboration smarter and human-machine dialogue more friendly is a long-term topic of "AI + medical education" Education is dynamic and evolving, thinking rationally about the relationship between people and technology. Further promoting the deep integration and innovative development of AI and medical education can better empower the modernization of education.
Objective:
Use CiteSpace and VOSviewer to determine the current and emerging trends in Artificial Intelligence on medical education from 2013 to 2022.
Methods:
Search the literatures related to Artificial Intelligence on medical education in Web of Science core database from 2013 to 2022. Use CiteSpace and VOS viewers to analyze countries, institutions, authors, references and keywords that meet the requirements.
Results:
We identified 195 articles about Artificial Intelligence on medical education from 2013 to 2022 and found that the annual incidence rate increased over time. The most active country was the United States, the most active institution was the Harvard Med Sch and Univ Toronto. And Bissonnette, Vincent; Blacketer, Charlotte; Del Maestro, Rolando f; Ledows, Nicole; Mirchi, Nykan; Winkler-schwartz, Alexander; Yilamaz, Recai was the leading authors. Besides, “Medical students' attitude towards Artificial Intelligence: a multicentre survey” was the largest number of citation papers. References and keyword analysis showed that “radiology”, “medical physics” ,“ehealth” ,“surgery”,and “specialty” were the focus of these studies, while “big data”, and “management” were the frontiers of research.
Conclusions:
The bibliometric study shows that the research of Artificial Intelligence on medical education is a promising research field. The current research is mainly focused on a few aspects of medical education, with the progress of technology, it is expected to broaden the direction in the future. At present, the urgent problem to be solved is to strengthen inter-regional cooperation and improve the quality of research. Our findings provide valuable information for researchers to determine a better perspective and develop future research directions.
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Copyright
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