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Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera.

Anna-Maria KubinPetri HuhtinenPasi OhtonenAntti KeskitaloJoonas WirkkalaNina Maria Hautala
Published in: Annals of medicine (2024)
Fundus images captured with Optomed Aurora were suitable for DR screening. The performance of the AI algorithms varied considerably emphasizing the need for external validation of screening algorithms in real-world settings before their clinical application.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • diabetic retinopathy
  • convolutional neural network
  • big data
  • optical coherence tomography
  • high resolution
  • editorial comment