Analysis of international publication trends in artificial intelligence in ophthalmology

被引:0
作者
Christophe Boudry
Hassan Al Hajj
Louis Arnould
Frederic Mouriaux
机构
[1] UNICAEN,Normandie Univ
[2] Média Normandie,LaTIM, UMR 1101 INSERM
[3] URFIST,Service d’Ophtalmologie
[4] Ecole Nationale des Chartes,undefined
[5] PSL Research University,undefined
[6] Université de Bretagne Occidentale,undefined
[7] CHU Dijon,undefined
[8] INSERM,undefined
[9] Univ Rennes,undefined
[10] CHU Rennes,undefined
[11] Department of Ophthalmology,undefined
[12] CLCC Eugène Marquis,undefined
[13] COSS [(Chemistry Oncogenesis Stress Signaling)] – UMR_S 1242,undefined
来源
Graefe's Archive for Clinical and Experimental Ophthalmology | 2022年 / 260卷
关键词
Artificial intelligence; Ophthalmology; Bibliometrics; Journals; Glaucoma; Retinal diseases;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1779 / 1788
页数:9
相关论文
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[1]  
Wang F(2019)AI in Health: state of the art, challenges, and future directions Yearb Med Inform 28 16-26
[2]  
Preininger A(2017)Artificial intelligence in healthcare: past, present and future Stroke Vasc Neurol 2 230-245
[3]  
Jiang F(2008)Informetrics at the beginning of the 21st century—a review J Informet 2 1-52
[4]  
Jiang Y(2004)The scientific impact of nations Nature 430 311-316
[5]  
Zhi H(2016)Trends and topics in eye disease research in PubMed from 2010 to 2014 PeerJ 4 173-179
[6]  
Bar-Ilan J(2018)International publication trends in dry eye disease research: A bibliometric analysis Ocul Surf 16 167-175
[7]  
King DA(2020)Bibliometric and visualized analysis of global research on fungal keratitis from 1959 to 2019 Medicine (Baltimore) 99 233-240
[8]  
Boudry C(2019)Artificial intelligence and deep learning in ophthalmology Br J Ophthalmol 103 66-130
[9]  
Denion E(2019)The current state of artificial intelligence in ophthalmology Surv Ophthalmol 64 117-1206
[10]  
Mortemousque B(2016)Global research on artificial intelligence from 1990–2014: spatially-explicit bibliometric analysis IJGI 5 1204-342