Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Press of International Journal of Ophthalmology (IJO PRESS)
2023-09-01
|
| Series: | International Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://ies.ijo.cn/en_publish/2023/9/20230909.pdf |
| _version_ | 1797739572099022848 |
|---|---|
| author | Hai-Wen Feng Jun-Jie Chen Zhi-Chang Zhang Shao-Chong Zhang Wei-Hua Yang |
| author_facet | Hai-Wen Feng Jun-Jie Chen Zhi-Chang Zhang Shao-Chong Zhang Wei-Hua Yang |
| author_sort | Hai-Wen Feng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T14:00:05Z |
| format | Article |
| id | doaj.art-be7a0f41db424849a6364445da3552ef |
| institution | Directory Open Access Journal |
| issn | 2222-3959 2227-4898 |
| language | English |
| last_indexed | 2024-03-12T14:00:05Z |
| publishDate | 2023-09-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj.art-be7a0f41db424849a6364445da3552ef2023-08-22T08:47:16ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982023-09-011691431144010.18240/ijo.2023.09.0920230909Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiersHai-Wen Feng0Jun-Jie Chen1Zhi-Chang Zhang2Shao-Chong Zhang3Wei-Hua Yang4Wei-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.cnDepartment of Software Engineering, School of Software, Shenyang University of Technology, Shenyang 110870, Liaoning Province, ChinaDepartment of Computer, School of Intelligent Medicine, China Medical University, Shenyang 110122, Liaoning Province, ChinaShenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, ChinaShenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, ChinaAIM: 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.http://ies.ijo.cn/en_publish/2023/9/20230909.pdfartificial intelligenceoptical coherence tomographybibliometricdeep learningmachine learning |
| spellingShingle | Hai-Wen Feng Jun-Jie Chen Zhi-Chang Zhang Shao-Chong Zhang Wei-Hua Yang Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers International Journal of Ophthalmology artificial intelligence optical coherence tomography bibliometric deep learning machine learning |
| title | Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers |
| title_full | Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers |
| title_fullStr | Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers |
| title_full_unstemmed | Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers |
| title_short | Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers |
| title_sort | bibliometric analysis of artificial intelligence and optical coherence tomography images research hotspots and frontiers |
| topic | artificial intelligence optical coherence tomography bibliometric deep learning machine learning |
| url | http://ies.ijo.cn/en_publish/2023/9/20230909.pdf |
| work_keys_str_mv | AT haiwenfeng bibliometricanalysisofartificialintelligenceandopticalcoherencetomographyimagesresearchhotspotsandfrontiers AT junjiechen bibliometricanalysisofartificialintelligenceandopticalcoherencetomographyimagesresearchhotspotsandfrontiers AT zhichangzhang bibliometricanalysisofartificialintelligenceandopticalcoherencetomographyimagesresearchhotspotsandfrontiers AT shaochongzhang bibliometricanalysisofartificialintelligenceandopticalcoherencetomographyimagesresearchhotspotsandfrontiers AT weihuayang bibliometricanalysisofartificialintelligenceandopticalcoherencetomographyimagesresearchhotspotsandfrontiers |