Global research of artificial intelligence in strabismus: a bibliometric analysis

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.

Automated summary

This study analyzed the global publications on artificial intelligence in strabismus using a bibliometric approach, finding an increasing trend in the number of publications and citations. The top productive country was the USA, with research domains in Ophthalmology, Engineering Biomedical, and Optics. Keywords analysis pointed towards deep learning and machine learning as future hotspots in this field, indicating a trend towards optimized technology and algorithms. The findings provide valuable insights for future research directions in the application of AI in strabismus.