Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis

Our bibliometric analysis highlights advancements in AI research on ROP, focusing on key publication characteristics, major contributors, and emerging trends. The findings indicate that AI in ROP is a rapidly growing field. Future studies should focus on addressing the clinical implementation and ethical concerns of AI in ROP.

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Publication Details

Journal
Health Science Reports
Published
2025-04-01
DOI
https://doi.org/10.1002/hsr2.70718
Primary Topic
Retinopathy of Prematurity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis

Yao Xu, Jing Gao, Na Fang
Health Science Reports
Retinopathy of Prematurity Studies
article

Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis

Yao Xu, Jing Gao, Na Fang
article en

Abstract

Our bibliometric analysis highlights advancements in AI research on ROP, focusing on key publication characteristics, major contributors, and emerging trends. The findings indicate that AI in ROP is a rapidly growing field. Future studies should focus on addressing the clinical implementation and ethical concerns of AI in ROP.

Health Science ReportsVol. 8(4)
Nanjing University of Chinese Medicine (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Suzhou Traditional Chinese Medicine Hospital (CN), First Affiliated Hospital of Soochow University (CN), The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
Partnerships for the goals
Openalex Percentile: Top 88%
Retinopathy of Prematurity Studies
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