Global research of artificial intelligence in strabismus: a bibliometric analysis

Abstract

PurposeTo analyze the global publications on artificial intelligence (AI) in strabismus using a bibliometric approach.MethodsThe Web of Science Core Collection (WoSCC) database was used to retrieve all of the publications on AI in strabismus from 2002 to 2023. We analyzed the publication and citation trend and identified highly-cited articles, prolific countries, institutions, authors and journals, relevant research domains and keywords. VOSviewer (software) and Bibliometrix (package) were used for data analysis and visualization.ResultsBy analyzing a total of 146 relevant publications, this study found an overall increasing trend in the number of annual publications and citations in the last decade. USA was the most productive country with the closest international cooperation. The top 3 research domains were Ophthalmology, Engineering Biomedical and Optics. Journal of AAPOS was the most productive journal in this field. The keywords analysis showed that “deep learning” and “machine learning” may be the hotspots in the future.ConclusionIn recent years, research on the application of AI in strabismus has made remarkable progress. The future trends will be toward optimized technology and algorithms. Our findings help researchers better understand the development of this field and provide valuable clues for future research directions.

Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis

“…Bibliometric analysis is an interdisciplinary subject using information visualization methods to qualitatively and quantitatively assess the scientific performance of countries, institutions, authors, and journals, as well as references and keywords of worldwide literature, thus providing an overview of a certain field. 11 , 12 Bibliometrics has been widely used to analyze scientific literature on AI in ophthalmology, such as diabetic retinopathy, 13 strabismus, 14 and glaucoma. 15 Summarizing the global research situation is critical for future work to promote AI in ophthalmology.…”