Login / Signup

Validation of diagnostic accuracy of retinal image grading by trained non-ophthalmologist grader for detecting diabetic retinopathy and diabetic macular edema.

Sanil JosephRenu P RajanBalagiri SundarSoundarya VenkatachalamJohn H KempenRamasamy Kim
Published in: Eye (London, England) (2022)
Our results demonstrate good level of accuracy for the fundus image grading performed by a trained non-ophthalmologist which was comparable with the grading by an ophthalmologist. Engaging trained non-ophthalmologists potentially can enhance the efficiency of DR diagnosis using fundus images. Further study with multiple non-ophthalmologist graders is needed to verify the results and strategies to improve agreement for DMO diagnosis are needed.
Keyphrases
  • diabetic retinopathy
  • optical coherence tomography
  • deep learning
  • resistance training
  • convolutional neural network
  • body composition
  • machine learning