Three-year trends in literature on artificial intelligence in ophthalmology and vision sciences: a protocol for bibliometric analysis

Author:

Monson Hayley,Demaine Jeff,Banfield Laura,Felfeli TinaORCID

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.

Publisher

BMJ

Subject

Health Information Management,Health Informatics,Computer Science Applications

Reference14 articles.

1. Anyoha R . The History of Artificial Intelligence - Science in the News. Harvard Graduate School of Arts and Sciences, 2017: 1. https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/

2. Machine learning has arrived!;Lee;Ophthalmology,2017

3. Artificial intelligence for diabetic retinopathy screening: a review;Grzybowski;Eye,2020

4. A bibliometric and mapping analysis of glaucoma research between 1900 and 2019;López-Muñoz;Ophthalmol Glaucoma,2022

5. Web of Science: Summary of Coverage - Web of Science platform - LibGuides at Clarivate Analytics [Internet]. Available: https://clarivate.libguides.com/webofscienceplatform/coverage [Accessed 28 Jul 2021].

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