Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis DOI Creative Commons

Xuze Wang,

Ailixiati Wumaier,

Jun Wang

и другие.

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Май 9, 2025

Purpose This study aims to conduct a bibliometric analysis of global publications on the application artificial intelligence (AI) in high myopia (HM). Methods We retrieved AI HM from Web Science Core Collection (WoSCC) database, MEDLINE and Chinese Citation Database (CSCD) with data up 2024. The focused publication citation trends, identifying key articles, influential countries, institutions, authors, journals. Additionally, we explored research domains emerging keywords. Results A total 167 relevant were included. first AI-related paper was published 2017, significant surge 2021, followed by consistent increase counts over next 3 years. China emerged as most productive country, extensive international collaboration. East Asian authors dominated top 10 authors. Yang, Weihua Investigative Ophthalmology & Visual (IOVS) contributed among respectively. Keyword revealed that retinal imaging-related terms remained focus, while newly keywords included “automated detection” “childhood.” Conclusion Recent advancements applications for have been are expected continue. Future will likely focus multimodal imaging improving algorithm accessibility. Our findings offered comprehensive overview HM, thus providing valuable insights researchers understand current status future trends this field.

Язык: Английский

Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis DOI Creative Commons

Xuze Wang,

Ailixiati Wumaier,

Jun Wang

и другие.

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Май 9, 2025

Purpose This study aims to conduct a bibliometric analysis of global publications on the application artificial intelligence (AI) in high myopia (HM). Methods We retrieved AI HM from Web Science Core Collection (WoSCC) database, MEDLINE and Chinese Citation Database (CSCD) with data up 2024. The focused publication citation trends, identifying key articles, influential countries, institutions, authors, journals. Additionally, we explored research domains emerging keywords. Results A total 167 relevant were included. first AI-related paper was published 2017, significant surge 2021, followed by consistent increase counts over next 3 years. China emerged as most productive country, extensive international collaboration. East Asian authors dominated top 10 authors. Yang, Weihua Investigative Ophthalmology & Visual (IOVS) contributed among respectively. Keyword revealed that retinal imaging-related terms remained focus, while newly keywords included “automated detection” “childhood.” Conclusion Recent advancements applications for have been are expected continue. Future will likely focus multimodal imaging improving algorithm accessibility. Our findings offered comprehensive overview HM, thus providing valuable insights researchers understand current status future trends this field.

Язык: Английский

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