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作 者:Ruo-Yu Wang Si-Yuan Zhu Xin-Ya Hu Li Sun Shao-Chong Zhang Wei-Hua Yang
机构地区:[1]Department of Global Public Health,Karolinska Institute,Stockholm 17177,Sweden [2]The First Clinical Medical School,Guangzhou Medical University,Guangzhou 510000,Guangdong Province,China [3]Shenzhen Eye Institute,Shenzhen Eye Hospital,Jinan University,Shenzhen 518040,Guangdong Province,China [4]Affiliated Hospital of Integrated Traditional Chinese and Western Medicine,Nanjing University of Chinese Medicine,Nanjing 210000,Jiangsu Province,China [5]Jiangsu Provincial Academy of Traditional Chinese Medicine,Nanjing 210000,Jiangsu Province,China
出 处:《International Journal of Ophthalmology(English edition)》2024年第12期2295-2307,共13页国际眼科杂志(英文版)
基 金:Supported by Jiangsu Province Traditional Chinese Medicine Science and Technology Development Program(No.MS2022032);Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties(No.SZGSP014);Shenzhen Science and Technology Planning Project(No.KCXFZ20211020163813019).
摘 要:AIM:To explore the current application and research frontiers of global ophthalmic optical coherence tomography(OCT)imaging artificial intelligence(AI)research.METHODS:The citation data were downloaded from the Web of Science Core Collection database(WoSCC)to evaluate the articles in application of AI in ophthalmic OCT published from January 1,2012 to December 31,2023.This information was analyzed using CiteSpace 6.2.R2 Advanced software,and high-impact articles were analyzed.RESULTS:In general,877 articles from 65 countries were studied and analyzed,of which 261 were published by the United States and 252 by China.The centrality of the United States is 0.33,the H index is 38,and the H index of two institutions in England reaches 20.Ophthalmology,computer science,and AI are the main disciplines involved.
关 键 词:artificial intelligence optical coherence tomography bibliometric analysis deep learning
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