Analysis of international publication trends in artificial intelligence in ophthalmology - École nationale des chartes Accéder directement au contenu
Article Dans Une Revue Graefe's Archive for Clinical and Experimental Ophthalmology Année : 2022

Analysis of international publication trends in artificial intelligence in ophthalmology

Résumé

Purpose: Artificial intelligence (AI) has entered the field of medicine, and ophthalmology is no exception. The objective of this study was to report on scientific production and publication trends, to identify journals, countries, international collaborations, and major MeSH terms involved in AI in ophthalmology research.Methods: Scientometric methods were used to evaluate global scientific production and development trends in AI in ophthalmology using PubMed and the Web of Science Core Collection.Results: A total of 1356 articles were retrieved over the period 1966-2019. The yearly growth of AI in ophthalmology publications has been 18.89% over the last ten years, indicating that AI in ophthalmology is a very attractive topic in science. Analysis of the most productive journals showed that most were specialized in computer and medical systems. No journal was found to specialize in AI in ophthalmology. The USA, China, and the UK were the three most productive countries. The study of international collaboration showed that, besides the USA, researchers tended to collaborate with peers from neighboring countries. Among the twenty most frequent MeSH terms retrieved, there were only four related to clinical topics, revealing the retina and glaucoma as the most frequently encountered subjects of interest in AI in ophthalmology. Analysis of the top ten Journal Citation Reports categories of journals and MeSH terms for articles confirmed that AI in ophthalmology research is mainly focused on engineering and computing and is mainly technical research related to computer methods.Conclusions: This study provides a broad view of the current status and trends in AI in ophthalmology research and shows that AI in ophthalmology research is an attractive topic focusing on retinal diseases and glaucoma. This study may be useful for researchers in AI in ophthalmology such as clinicians, but also for scientists to better understand this research topic, know the main actors in this field (including journals and countries), and have a general overview of this research theme.
Fichier principal
Vignette du fichier
article_IA_Ophthalmology_Final_File_3.pdf (1.34 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03525868 , version 1 (14-01-2022)

Identifiants

Citer

Christophe Boudry, Hassan Al Hajj, Louis Arnould, Frederic Mouriaux. Analysis of international publication trends in artificial intelligence in ophthalmology. Graefe's Archive for Clinical and Experimental Ophthalmology, 2022, 260 (5), pp.1779-1788. ⟨10.1007/s00417-021-05511-7⟩. ⟨hal-03525868⟩
498 Consultations
274 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More