Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis
PurposeThis study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).MethodsWe retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1567440/full |
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| author | Xuze Wang Ailixiati Wumaier Jun Wang Dejuan Song Yiting Cai Jin Han Wei Han Zhi Fang |
| author_facet | Xuze Wang Ailixiati Wumaier Jun Wang Dejuan Song Yiting Cai Jin Han Wei Han Zhi Fang |
| author_sort | Xuze Wang |
| collection | DOAJ |
| description | PurposeThis study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).MethodsWe retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. The analysis focused on publication and citation trends, identifying key articles, influential countries, institutions, authors, and journals. Additionally, we explored research domains and emerging keywords.ResultsA total of 167 relevant publications were included. The first AI-related paper on HM was published in 2017, with a significant surge in 2021, followed by a consistent increase in publication and citation counts over the next 3 years. China emerged as the most productive country, with the most extensive international collaboration. East Asian authors dominated the top 10 most influential authors. Yang, Weihua and Investigative Ophthalmology & Visual Science (IOVS) contributed the most publications among authors and institutions, respectively. Keyword analysis revealed that retinal imaging-related terms remained a consistent research focus, while newly emerging keywords included “automated detection” and “childhood.”ConclusionRecent advancements in AI applications for HM have been significant and are expected to continue. Future research will likely focus on multimodal imaging and improving algorithm accessibility. Our findings offered the first comprehensive overview of global research on AI in HM, thus providing valuable insights for researchers to understand the current status and future trends in this field. |
| format | Article |
| id | doaj-art-92f91b9d9ffa4783a3a58e2e664ccfa5 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-92f91b9d9ffa4783a3a58e2e664ccfa52025-08-20T03:48:57ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-05-011210.3389/fmed.2025.15674401567440Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysisXuze WangAilixiati WumaierJun WangDejuan SongYiting CaiJin HanWei HanZhi FangPurposeThis study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).MethodsWe retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. The analysis focused on publication and citation trends, identifying key articles, influential countries, institutions, authors, and journals. Additionally, we explored research domains and emerging keywords.ResultsA total of 167 relevant publications were included. The first AI-related paper on HM was published in 2017, with a significant surge in 2021, followed by a consistent increase in publication and citation counts over the next 3 years. China emerged as the most productive country, with the most extensive international collaboration. East Asian authors dominated the top 10 most influential authors. Yang, Weihua and Investigative Ophthalmology & Visual Science (IOVS) contributed the most publications among authors and institutions, respectively. Keyword analysis revealed that retinal imaging-related terms remained a consistent research focus, while newly emerging keywords included “automated detection” and “childhood.”ConclusionRecent advancements in AI applications for HM have been significant and are expected to continue. Future research will likely focus on multimodal imaging and improving algorithm accessibility. Our findings offered the first comprehensive overview of global research on AI in HM, thus providing valuable insights for researchers to understand the current status and future trends in this field.https://www.frontiersin.org/articles/10.3389/fmed.2025.1567440/fullhigh myopiaartificial intelligenceglobal researchbibliometric analysisdata visualization |
| spellingShingle | Xuze Wang Ailixiati Wumaier Jun Wang Dejuan Song Yiting Cai Jin Han Wei Han Zhi Fang Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis Frontiers in Medicine high myopia artificial intelligence global research bibliometric analysis data visualization |
| title | Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis |
| title_full | Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis |
| title_fullStr | Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis |
| title_full_unstemmed | Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis |
| title_short | Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis |
| title_sort | global trends and hotspots in artificial intelligence for high myopia a bibliometric analysis |
| topic | high myopia artificial intelligence global research bibliometric analysis data visualization |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1567440/full |
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