Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis
AIM: To explore the current application and research frontiers of global ophthalmic optical coherence tomography (OCT) imaging artificial intelligence (AI) research. METHODS: The citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate the articles in applic...
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| Format: | Article |
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Press of International Journal of Ophthalmology (IJO PRESS)
2024-12-01
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| Series: | International Journal of Ophthalmology |
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| Online Access: | http://ies.ijo.cn/en_publish/2024/12/20241219.pdf |
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| author | Ruo-Yu Wang Si-Yuan Zhu Xin-Ya Hu Li Sun Shao-Chong Zhang Wei-Hua Yang |
| author_facet | Ruo-Yu Wang Si-Yuan Zhu Xin-Ya Hu Li Sun Shao-Chong Zhang Wei-Hua Yang |
| author_sort | Ruo-Yu Wang |
| collection | DOAJ |
| description | AIM: To explore the current application and research frontiers of global ophthalmic optical coherence tomography (OCT) imaging artificial intelligence (AI) research. METHODS: The citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate the articles in application of AI in ophthalmic OCT published from January 1, 2012 to December 31, 2023. This information was analyzed using CiteSpace 6.2.R2 Advanced software, and high-impact articles were analyzed. RESULTS: In general, 877 articles from 65 countries were studied and analyzed, of which 261 were published by the United States and 252 by China. The centrality of the United States is 0.33, the H index is 38, and the H index of two institutions in England reaches 20. Ophthalmology, computer science, and AI are the main disciplines involved. Hot keywords after 2018 include deep learning (DL), AI, macular degeneration, and automatic segmentation. CONCLUSION: The annual number of articles on AI applications in ophthalmic OCT has grown rapidly. The United States holds a prominent position. Institutions like the University of California System and the University of London are spearheading advancements. Initial researches centered on the automatic recognition and diagnosis of ocular diseases leveraging traditional machine learning (ML) technology and OCT images. Nowadays, the imaging process algorithm selection has shifted its focus towards DL. Concurrently, optical coherence tomography angiography (OCTA) and computer-aided diagnosis (CAD) have emerged as key areas of contemporary research. |
| format | Article |
| id | doaj-art-9f67a3e8a83849fb8b4d5e021fb1673d |
| institution | Kabale University |
| issn | 2222-3959 2227-4898 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj-art-9f67a3e8a83849fb8b4d5e021fb1673d2024-11-19T03:13:35ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982024-12-0117122295230710.18240/ijo.2024.12.1920241219Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysisRuo-Yu Wang0Si-Yuan Zhu1Xin-Ya Hu2Li Sun3Shao-Chong Zhang4Wei-Hua Yang5Wei-Hua Yang and Shao-Chong Zhang. Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, China. benben0606@139.com; zhangshaochong@gzzoc.com; Li Sun. Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, Jiangsu Province, China. 158224865@qq.comThe First Clinical Medical School, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, ChinaShenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, ChinaAffiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, Jiangsu Province, China; Jiangsu Provincial Academy of Traditional Chinese Medicine, Nanjing 210000, Jiangsu Province, ChinaShenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, ChinaShenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, Guangdong Province, ChinaAIM: To explore the current application and research frontiers of global ophthalmic optical coherence tomography (OCT) imaging artificial intelligence (AI) research. METHODS: The citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate the articles in application of AI in ophthalmic OCT published from January 1, 2012 to December 31, 2023. This information was analyzed using CiteSpace 6.2.R2 Advanced software, and high-impact articles were analyzed. RESULTS: In general, 877 articles from 65 countries were studied and analyzed, of which 261 were published by the United States and 252 by China. The centrality of the United States is 0.33, the H index is 38, and the H index of two institutions in England reaches 20. Ophthalmology, computer science, and AI are the main disciplines involved. Hot keywords after 2018 include deep learning (DL), AI, macular degeneration, and automatic segmentation. CONCLUSION: The annual number of articles on AI applications in ophthalmic OCT has grown rapidly. The United States holds a prominent position. Institutions like the University of California System and the University of London are spearheading advancements. Initial researches centered on the automatic recognition and diagnosis of ocular diseases leveraging traditional machine learning (ML) technology and OCT images. Nowadays, the imaging process algorithm selection has shifted its focus towards DL. Concurrently, optical coherence tomography angiography (OCTA) and computer-aided diagnosis (CAD) have emerged as key areas of contemporary research.http://ies.ijo.cn/en_publish/2024/12/20241219.pdfartificial intelligenceoptical coherence tomographybibliometric analysisdeep learning |
| spellingShingle | Ruo-Yu Wang Si-Yuan Zhu Xin-Ya Hu Li Sun Shao-Chong Zhang Wei-Hua Yang Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis International Journal of Ophthalmology artificial intelligence optical coherence tomography bibliometric analysis deep learning |
| title | Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis |
| title_full | Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis |
| title_fullStr | Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis |
| title_full_unstemmed | Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis |
| title_short | Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis |
| title_sort | artificial intelligence applications in ophthalmic optical coherence tomography a 12 year bibliometric analysis |
| topic | artificial intelligence optical coherence tomography bibliometric analysis deep learning |
| url | http://ies.ijo.cn/en_publish/2024/12/20241219.pdf |
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