Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis.

Journal: Frontiers in medicine
Published Date:

Abstract

PURPOSE: This study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).

Authors

  • Xuze Wang
  • Ailixiati Wumaier
    Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, School of Medicine, Eye Center of Second Affiliated Hospital, Zhejiang Provincial Engineering Institute on Eye Diseases, Zhejiang University, Hangzhou, China.
  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Dejuan Song
    Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, School of Medicine, Eye Center of Second Affiliated Hospital, Zhejiang Provincial Engineering Institute on Eye Diseases, Zhejiang University, Hangzhou, China.
  • Yiting Cai
    Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, School of Medicine, Eye Center of Second Affiliated Hospital, Zhejiang Provincial Engineering Institute on Eye Diseases, Zhejiang University, Hangzhou, China.
  • Jin Han
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Wei Han
    Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, The Key Laboratory of New Drug Pharmacology and Toxicology, Ministry of Education, Collaborative Innovation Center of Hebei Province for Mechanism, Diagnosis and Treatment of Neuropsychiatric Diseases, Hebei Medical University, Shijiazhuang, Hebei, China.
  • Zhi Fang
    ExxonMobil Asia Pacific Research and Development Company Limited, Shanghai, 200241, P. R. China.

Keywords

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