Visual analysis of research on generative artificial intelligence in medical education based on scientific citation databases

doi:10.3760/cma.j.cn115259-20240709-00717

Chinese Journal of Medical Education ›› 2025, Vol. 45 ›› Issue (9): 661-665.DOI: 10.3760/cma.j.cn115259-20240709-00717

• Applications of Artificial Intelligence in Medical Education • Previous Articles Next Articles

Visual analysis of research on generative artificial intelligence in medical education based on scientific citation databases

Zhu Jing¹, Wang Xiaofei², Zhou Weibing¹, Liu Hengyu³

¹Department of Situation and Policy, School of Marxism, Jinzhou Medical University, Jinzhou 121002, China;
²Medical Education Research Center, Jinzhou Medical University, Jinzhou 121002, China;
³Teaching Evaluation Center, Jinzhou Medical University, Jinzhou 121002, China

Received:2024-07-09 Online:2025-09-01 Published:2025-09-02
Contact: Liu Hengyu, Email: 498559284@qq.com
Supported by:
2023 Liaoning Provincial Department of Education Basic Scientific Research Projects for Higher Education Institutions (1821240438); Chinese Medical Association Medical Education Branch and National Center for Health Professions Education Development 2023 Medical Education Research Project (2023B137)

Abstract

Abstract: Objective To analyze the research hotspots and future trends of generative artificial intelligence (AI) in the field of medical education from 2021 to 2024, providing a reference for future research. Methods Bibliometric methods were used with the search terms ″generative artificial intelligence″, ″medical education″, ″chatgpt″, and CiteSpace was used to analyze the number of articles and keywords published in the Science Citation Database up to June 11, 2024. Results A total of 219 articles were published from 2021 to 2024, forming 10 keyword clusters, namely large language models, readability, medical students, generative artificial intelligence, medical education, machine learning, natural language processing, search, cleft lip and palate, and professional development. Conclusions The research of generative AI in medical education is showing an upward trend. The construction of professional language models, the building of teaching models, and the exploration of medical teaching content are the hot topics and research trends in the field of generative artificial intelligence in medical education.

Key words: Education, medical, Science citation database, Generative artificial intelligence, CiteSpace, Knowledge graph

CLC Number:

Zhu Jing, Wang Xiaofei, Zhou Weibing, Liu Hengyu. Visual analysis of research on generative artificial intelligence in medical education based on scientific citation databases[J]. Chinese Journal of Medical Education, 2025, 45(9): 661-665.

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Visual analysis of research on generative artificial intelligence in medical education based on scientific citation databases

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