Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis

Xiaobin Zhang

doi:10.1016/j.aopr.2023.11.002

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Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis

Full Length Article | 更新时间：2024-05-29

- Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis
- AOPR Vol. 4, Issue 1, Pages: 1-7(2024)
- 作者机构：
  
  Department of Health Sciences, National Natural Science Foundation of China,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.1016/j.aopr.2023.11.002
  CLC：
- Published：2024，
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Xiaobin Zhang. Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis. [J]. AOPR 4(1):1-7(2024)
DOI：

Xiaobin Zhang. Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis. [J]. AOPR 4(1):1-7(2024) DOI： 10.1016/j.aopr.2023.11.002.

摘要

Abstract

PurposeTo provide an overview of global publications on artificial intelligence (AI) in thyroid-associated ophthalmopathy (TAO) through bibliometric analysis.MethodsPublications related to AI in TAO from inception until April 2023 were retrieved from the Web of Science database. The trends of publications and citations

publishing performance

collaboration among countries and institutions

and the funding agencies

relevant research domains

leading journals

hotspots and their evolution were identified.ResultsA total of 55 publications were included for analysis. The number of publications and citations continued to grow since 1998

with a significant acceleration of growth after 2020. China is the most productive country with the highest number of productive institutions

followed by the United States. European countries have the most extensive collaboration. The most relevant research domain was radiology

nuclear medicine & medical imaging. The European Journal of Radiology was one of the most productive journals

with the most influential articles published. "Thyroid-associated ophthalmopathy" and "neural network" maintain hotspots during the entire period. Studies were more focused on clinical features during 1998 and 2016

clinical features and medical data during 2017 and 2020

and medical data and AI techniques during 2021 and 2023.ConclusionsThis study summarized the global research status regarding AI in TAO in terms of trends

countries

institutions

research domains

journals

and key topics. AI has shown great potential in TAO. Sponsored by funding agencies such as NSFC

China has become the most productive country in the field of AI in TAO. Our findings help researchers better understand the development of this field and provide valuable clues for future research directions.

关键词

Keywords

Thyroid-associated ophthalmopathyArtificial intelligenceGlobal publicationsBibliometric analysis

references

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