Visual analysis of related research in artificial intelligence application in orthopaedic field
GUO Hao1 YAN Jingru2 LIAN Hongyu1 CHEN Guangxin3 LI Zitao1 LIU Kexin1 LIU Xinwei1 ZHANG Jia1
1.The Second Department of Orthopedics, Hongqi Hospital, Mudanjiang Medical College, Heilongjiang Province, Mudanjiang 157011, China;
2.School of Education Science, Harbin Normal University, Heilongjiang Province, Harbin 150025, China;
3.College of Imaging, Mudanjiang Medical College, Heilongjiang Province, Mudanjiang 157011, China
Abstract：Objective To analyze the research profile of artificial intelligence in orthopedic field in the past 20 years by visualization methods and to provide relevant references for future research. Methods CNKI and Web of Science databases were used to search the domestic and foreign literatures on artificial intelligence application in orthopaedic field from January 2001 to November 2021, and the literatures were imported into CiteSpace in standard format. The visual atlas analysis was carried out from four dimensions: number of articles published, author, national institution, and keywords. Results According to the analysis of the number of articles published, attention in this field had continued to grow since 2017. Among them, Liu Xingyu and Karnuta JM had the most articles published by individuals at home and abroad. The institutions with the largest number of publications in this field were Beijing Jishuitan Hospital and Stanford University in the United States. The cooperation between institutions in Beijing was the closest and the earliest in this field, while foreign institutions showed the overall characteristics of close communication. The top three countries were the United States, England, and Australia. The research focus is mainly on robot, artificial intelligence, and neural network. Conclusion In recent years, the related research on the artificial intelligence application in orthopedic field has developed rapidly at home and abroad, and artificial intelligence has been widely applied in the diagnosis and recognition of orthopaedic diseases, preoperative planning, surgical robots, and rehabilitation follow-up. At present, intraoperative assistance of artificial intelligence robots is a research hotspot. In the future, cooperation and communication between authors and institutions should be strengthened in China, and further research and development of convolutional neural networks should be built.
郭昊1 闫静茹2 廉洪宇1 陈广新3 李子涛1 刘可鑫1 刘鑫伟1 张嘉1. 人工智能应用于骨科领域相关研究的可视化分析[J]. 中国医药导报, 2022, 19(24): 16-21.
GUO Hao1 YAN Jingru2 LIAN Hongyu1 CHEN Guangxin3 LI Zitao1 LIU Kexin1 LIU Xinwei1 ZHANG Jia1. Visual analysis of related research in artificial intelligence application in orthopaedic field. 中国医药导报, 2022, 19(24): 16-21.
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