Artículo

Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis

Resumen

Research on artificial intelligence for brain injury is currently a prominent area of scientific research. A significant amount of related literature has been accumulated in this field. This study aims to identify hotspots and clarify research resources by conducting literature metrology visualization analysis, providing valuable ideas and references for related fields. The research object of this paper consists of 3000 articles cited in the core database of Web of Science from 1998 to 2023. These articles are visualized and analyzed using VOSviewer and CiteSpace. The bibliometric analysis reveals a continuous increase in the number of articles published on this topic, particularly since 2016, indicating significant growth. The United States stands out as the leading country in artificial intelligence for brain injury, followed by China, which tends to catch up. The core research institutions are primarily universities in developed countries, but there is a lack of cooperation and communication between research groups. With the development of computer technology, the research in this field has shown strong wave characteristics, experiencing the early stage of applied research based on expert systems, the middle stage of prediction research based on machine learning, and the current phase of diversified research focused on deep learning. Artificial intelligence has innovative development prospects in brain injury, providing a new orientation for the treatment and auxiliary diagnosis in this field.
Qu, Mengqi (58933745700); Xu, Yang (58606653800); Lu, Lu (57685064500)
Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis
2024
10.1016/j.brainresbull.2024.110920
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187496421&doi=10.1016%2fj.brainresbull.2024.110920&partnerID=40&md5=e217efeb61396cd7e5fea443ad576da5
Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China
All Open Access; Hybrid Gold Open Access
Scopus
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