A bibliometric analysis of artificial intelligence applications in macular edema: exploring research hotspots and Frontiers

ABSTRACT: Background: Artificial intelligence (AI) is used in ophthalmological disease screening and diagnostics, medical image diagnostics, and predicting late-disease progression rates. We reviewed all AI publications associated with macular edema (ME) research Between 2011 and 2022 and performed modeling, quantitative, and qualitative investigations. Methods: On 1st February 2023, we screened the Web of Science Core Collection for AI applications related to ME, from which 297 studies were identified and analyzed (2011–2022). We collected information on: publications, institutions, country/region, keywords, journal name, references, and research hotspots. Literature clustering networks and Frontier knowledge bases were investigated using bibliometrix-BiblioShiny, VOSviewer, and CiteSpace bibliomet

SUBMITTER: Feng H 

PROVIDER: S-EPMC10225517 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature