AI in Ophthalmology: A 5-Year Bibliometric Analysis
Source: frontiersin.org
Artificial Intelligence in Ophthalmology: A Bibliometric Analysis
This study utilizes bibliometric methods to explore current perspectives on the use of artificial intelligence in ophthalmology. The analysis of literature from 2020-2024 aims to define the technology's development, guide future progress, and help clinicians adapt.
Methods
A comprehensive search was performed on the Web of Science Core Collection (WoSCC) for literature relating to artificial intelligence and ophthalmology, using bibliometric techniques. The data was analyzed and visualized with CiteSpace, VOSviewer, and the R package "Bibliometrix."
Results
The study included 21,725 documents from 134 countries and 7,126 institutions, including 19,978 articles (91.96%) and 1,714 reviews (8.04%). China and the United States were the top contributors. The number of publications in AI and ophthalmology has increased annually.