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Intelligent Ophthalmology | Open Access

Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers

Hai-Wen Feng1, Jun-Jie Chen1, Zhi-Chang Zhang2( ), Shao-Chong Zhang3( ), Wei-Hua Yang3( )
Department of Software Engineering, School of Software, Shenyang University of Technology, Shenyang 110870, Liaoning Province, China
Department of Computer, School of Intelligent Medicine, China Medical University, Shenyang 110122, Liaoning Province, China
Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, China
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Abstract

AIM

To explore the latest application of artificial intelligence (AI) in optical coherence tomography (OCT) images, and to analyze the current research status of AI in OCT, and discuss the future research trend.

METHODS

On June 1, 2023, a bibliometric analysis of the Web of Science Core Collection was performed in order to explore the utilization of AI in OCT imagery. Key parameters such as papers, countries/regions, citations, databases, organizations, keywords, journal names, and research hotspots were extracted and then visualized employing the VOSviewer and CiteSpace V bibliometric platforms.

RESULTS

Fifty-five nations reported studies on AI biotechnology and its application in analyzing OCT images. The United States was the country with the largest number of published papers. Furthermore, 197 institutions worldwide provided published articles, where University of London had more publications than the rest. The reference clusters from the study could be divided into four categories: thickness and eyes, diabetic retinopathy (DR), images and segmentation, and OCT classification.

CONCLUSION

The latest hot topics and future directions in this field are identified, and the dynamic evolution of AI-based OCT imaging are outlined. AI-based OCT imaging holds great potential for revolutionizing clinical care.

Keywords

artificial intelligenceoptical coherence tomographybibliometricdeep learningmachine learning

References

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International Journal of Ophthalmology
Volume 16 Issue 9,
September 2023
Pages 1431-1440
DOI: 10.18240/ijo.2023.09.09

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Feng H-W, Chen J-J, Zhang Z-C, et al. Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers. International Journal of Ophthalmology, 2023, 16(9): 1431-1440. https://doi.org/10.18240/ijo.2023.09.09

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Received: 20 April 2023
Accepted: 05 July 2023
Published: 18 September 2023
© 2023 International Journal of Ophthalmology Press

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).