Visual analysis of the application researches of artificial intelligence in the field of medical education based on Web of Science

doi:10.3760/cma.j.cn115259-20230802-00079

Abstract

Abstract: Objective To explore the basic situation and research hotspots of the artificial intelligence application in the field of medical education. Methods Based on Web of Science, the applied researches of artificial intelligence in medical education were retrieved during January 1986 to June 2023, and by the bibliometric methods to analyze the literature statistically and create a co-occurrence network of topic words, then drawing a topic clustering map and a cooperation network map between countries which the papers belong to. Results A total of 988 papers were retrieved, and the number of publications had significantly increased since 2017. The United States ranked first in terms of publication volume, with a total of 386 published papers accounting for 39.1%, while China had published 134 papers accounting for 13.6%. The high-frequency topic words and their frequencies were 152 times in machine learning, 62 times in deep learning, 32 times in natural language processing and 18 times in virtual reality, respectively. Conclusions The researches of the artificial intelligence application in the field of medical education are constantly increasing, and China need to strengthen publication volume. Machine learning, deep learning, natural language processing and virtual reality are the main research hotspots of the artificial intelligence application in the field of medical education currently.

Key words: Artificial intelligence, Medical education, Literature review, Research hotspots, Visual analysis

CLC Number:

Zhang Yongming, Chen Yanjia, Guo Wei, Zhong Mei, Sun Yi′nan. Visual analysis of the application researches of artificial intelligence in the field of medical education based on Web of Science[J]. Chinese Journal of Medical Education, 2024, 44(5): 339-345.

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