Visualization analysis of the application of artificial intelligence technology in the field of trauma in the last ten years
Objective To analyze the research hotspots and application trends of artificial intelligence(AI)in the field of trauma,which provides references for researchers in this field,and offers guidance for the diagnosis and treatment of trauma patients in our country.Methods Relevant literatures on AI application in the field of trauma research were retrieved from the Web of Science core collection database,CNKI,and Wanfang Data,with a search time limit from January 2013 to March 2024.The bibliometrics method,a visual analysis of institutions,authors,and keywords were used.Results A total of 550 eligible articles in English and 125 articles in Chinese were included,which showed that the global annual publication volume of AI applied in the field of trauma research has been on the rise over the past decade.The University of California System and Beijing Jishuitan Hospital were identified as the institution with the highest publication volume and total citations.The authors with the most publications were Billiar Timothy R(five articles),Najarian Kayvan(five articles),and Wu Xinbao(five articles).The high-frequency English keywords included machine learning,traumatic brain injury,artificial intelligence,classification,deep learning,mortality,management,injury,computed tomography,care and so on,which could be categorized into 12 clusters.Chinese Keywords include fracture,artificial intelligence,trauma orthopedics,machine learning,and surgery,which can be categorized into 11 clusters.Conclusion The research on the application of artificial intelligence in the field of trauma with broad prospects.The research hotspots mainly are focused on the diagnosis,detection and classification,treatment,and prognosis prediction of trauma.This study can provide valuable references for researchers in this field.
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NSTL
万方数据
