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Application effect of an artificial intelligence-based fundus screening system: evaluation in a clinical setting and population screening.

Shujuan CaoRong-Pei ZhangAixin JiangMayila KuerbanAizezi WumaierJianhua WuKaihua XieMireayi AizeziAbudurexiti TuersunXuanwei LiangRongxin Chen
Published in: Biomedical engineering online (2023)
In a real-world setting, our AI-based fundus screening system could detect 7 conditions, with better performance for DR, RVO and PM. Testing in the clinical environment and through population screening demonstrated the clinical utility of our AI-based fundus screening system in the early detection of ocular fundus abnormalities and the prevention of blindness.
Keyphrases
  • artificial intelligence
  • diabetic retinopathy
  • machine learning
  • big data
  • deep learning
  • risk assessment
  • heavy metals
  • polycyclic aromatic hydrocarbons