Visual analysis of artificial intelligence in the field of spine based on CNKI and Web of Science core collection database

English Keywords:Artificial intelligence  Spine  Visual analysis  CiteSpace

English Abstract:

  【Abstract】 Objectives: To analyze visually and mapping the knowledge of artificial intelligence(AI) in spine field in China and abroad with CiteSpace software, and to provide reference for related studies through analyzing its development and comparing the hot topics at home and abroad regarding AI in spine. Methods: The latest version of China National Knowledge Infrastructure(CNKI) database was used for Chinese data retrieval, using the Chinese words of "artificial intelligence" and "spine" as key words for advanced retrieval. The core collection of Web of Science was used as the data source for English literature data retrieval with "TI=(Artificial Intelligence*) And TI=(Spine*)" as the search formula. A total of 57 Chinese articles and 124 English articles about AI in the field of spine were included in the study after excluding literature that did not meet the inclusion criteria, such as conference speeches, newspaper articles, and repeated publications. CiteSpace information visualization software was employed for statistical analysis of hot topics, national institution, and bibliometrics visualization analysis. Results: The United States ranked the first in literature publications of AI in spine, and China ranked the third. The keywords that appeared the most frequently in AI in spine field were robot, artificial intelligence, and deep learning in China, and classification, diagnosis, and model in the worldwide. The Second Affiliated Hospital of Naval Military Medical University topped institusions in Chinese literature about AI in spine in China, and Harvard Medical School came the first in AI in spine literature publications worldwidely. Conclusions: China basically synchronizes with the world in the research time of AI in spine field, and independent study predominates in China. It is suggested to increase the collaborative research of multiple institutions and strive to be in line with the international standards in related fields.