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三年内眼科和视觉科学领域人工智能文献的趋势:文献计量分析方案。

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

机构信息

Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.

Library Department, McMaster University, Hamilton, Ontario, Canada.

出版信息

BMJ Health Care Inform. 2022 Oct;29(1). doi: 10.1136/bmjhci-2022-100594.


DOI:10.1136/bmjhci-2022-100594
PMID:36202424
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9540841/
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.

摘要

简介:本研究旨在深入了解人工智能和眼科交叉领域的文献。

方法和分析:该项目将分四个关键阶段进行:制定搜索词、文献收集、文献筛选和文献分析。将对 Scopus、Web of Science、Dimensions 和 Cochrane 等数据库进行全面搜索。使用 Distiller SR 软件对所有相关文章进行手动筛选。通过 R Bibliometrix(一种用于对大量文献进行数学分析的程序)和 VOSviewer(创建文章之间连接的可视化表示的程序)对选定的文章进行分析。

伦理与传播:由于使用了公开可用的数据且没有涉及人类受试者,因此本研究无需研究伦理批准。研究结果将在科学会议上展示,并发表在同行评议期刊上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e5/9540841/cee465563081/bmjhci-2022-100594f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e5/9540841/cee465563081/bmjhci-2022-100594f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e5/9540841/cee465563081/bmjhci-2022-100594f01.jpg

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[1]
Three-year trends in literature on artificial intelligence in ophthalmology and vision sciences: a protocol for bibliometric analysis.

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引用本文的文献

[1]
Bibliometric analysis of the 3-year trends (2018-2021) in literature on artificial intelligence in ophthalmology and vision sciences.

BMJ Health Care Inform. 2024-2-28

[2]
Optimizing Digital Tools for the Field of Substance Use and Substance Use Disorders: Backcasting Exercise.

JMIR Hum Factors. 2023-12-12

[3]
Bibliometric analysis of the uveitis literature and research trends over the past two decades.

BMJ Open Ophthalmol. 2023-9

本文引用的文献

[1]
A Bibliometric and Mapping Analysis of Glaucoma Research between 1900 and 2019.

Ophthalmol Glaucoma. 2022

[2]
Artificial intelligence for diabetic retinopathy screening: a review.

Eye (Lond). 2020-3

[3]
Machine Learning Has Arrived!

Ophthalmology. 2017-12

[4]
Lotka's law and productivity index of authors in a scientific journal.

J Oral Sci. 2000-6

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