Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians.
Mark A ChiaFred HerschRory SayresPinal BavishiRicha TiwariPearse Andrew KeaneAngus Warwick TurnerPublished in: The British journal of ophthalmology (2023)
The DLS showed improved sensitivity and similar specificity compared with a retina specialist for DR detection. This demonstrates its potential to support DR screening among Indigenous Australians, an underserved population with a high burden of diabetic eye disease.
Keyphrases
- diabetic retinopathy
- deep learning
- optical coherence tomography
- loop mediated isothermal amplification
- real time pcr
- label free
- editorial comment
- palliative care
- type diabetes
- machine learning
- risk factors
- artificial intelligence
- convolutional neural network
- structural basis
- quantum dots
- sensitive detection
- clinical evaluation