Three-year trends in literature on artificial intelligence in ophthalmology and vision sciences: a protocol for bibliometric analysis. Issue 1 (6th October 2022)

• Record Type: Journal Article
• Authors: Monson, Hayley; Demaine, Jeff; Banfield, Laura; Felfeli, Tina
• Is Part Of: BMJ health & care informatics. Volume 29:Issue 1(2022)
• Publication Date: 2022-10-06
• Subjects: data science -- deep learning -- informatics -- machine learning -- medical informatics; Medical informatics -- Great Britain -- Periodicals; Information storage and retrieval systems -- Medical care -- Periodicals; Primary care (Medicine) -- Great Britain -- Data processing -- Periodicals; 362.10285
• DOI: 10.1136/bmjhci-2022-100594
• Languages: English
• ISSNs: 2632-1009

Abstract

Abstract : Introduction: The aim of this study is to provide an insight into the literature at the intersection of artificial intelligence and ophthalmology. Methods and analysis: The project will be performed in four key stages: formulation of search terms, literature collection, literature screening and literature analysis. A comprehensive search of databases including Scopus, Web of Science, Dimensions and Cochrane will be conducted. The Distiller SR software will be used for manual screening all relevant articles. The selected articles will be analysed via R Bibliometrix, a program for mathematical analysis of large sets of literature, and VOSviewer, which creates visual representations of connections between articles. Ethics and dissemination: This study did not require research ethics approval given the use of publicly available data and lack of human subjects. The results will be presented at scientific meetings and published in peer-reviewed journals.