Objective To analyze the current application status of artificial intelligence (AI) in the field of surgical instruction. Methods Literature on the application of AI technology in surgical instruction was retrieved in June 2024 from major Chinese and English databases such as CNKI and the Web of Science Core Collection. The search covered publications from 1999 to 2024. The CiteSpace software was employed to conduct clustering exploration and visual analysis of the publication dates, journals, keywords and content of the identified articles. Results The volume of publications on AI applications in surgical instruction began to increase significantly after 2019. The primary countries publishing related literature were the United States, China, Canada, Japan, Italy, France, the United Kingdom, Germany, South Korea, and India. Among these, the United States had the most collaborative relationships with other countries. The analysis of high-frequency words and keywords revealed that AI research focuses predominantly on areas such as robotic surgery, ChatGPT, and surgical simulation. This suggests that the integration of AI with surgical instruction will be a key future research direction. Conclusions AI technology is being increasingly applied and refined in surgical instruction, with in-depth research conducted in surgical simulation, image interpretation, and diagnosis of disease subtypes. Collaboration between AI technology and surgical instruction should be strengthened, and relevant frameworks continuously refined.
Wei Fangze
,
Liu Qian
. Bibliometric study on the current application status of artificial intelligence in surgical education[J]. Chinese Journal of Medical Education, 2025
, 45(9)
: 666
-670
.
DOI: 10.3760/cma.j.cn115259-20240806-00827
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