Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers
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Wei-Hua Yang and Shao-Chong Zhang. Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, China. benben0606@139.com; zhangshaochong@gzzoc.com; Zhi-Chang Zhang. Department of Computer, School of Intelligent Medicine, China Medical University, Shenyang 110122, Liaoning Province, China. zczhang@cmu.edu.cn

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Supported by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties (No.SZGSP014); Sanming Project of Medicine in Shenzhen (No.SZSM202011015); Shenzhen Science and Technology Planning Project (No.KCXFZ20211020163813019).

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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.

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Hai-Wen Feng, Jun-Jie Chen, Zhi-Chang Zhang, et al. Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers. Int J Ophthalmol, 2023,16(9):1431-1440

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Publication History
  • Received:April 20,2023
  • Revised:July 05,2023
  • Adopted:
  • Online: August 22,2023
  • Published: