Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Abstract Background Predicting diabetic retinopathy (DR) progression could enable individualised screening with prompt referral for high-risk individuals for sight-saving treatment, whilst reducing screening burden for low-risk individuals. We developed and validated deep learning systems (DLS) that...
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| Huvudupphov: | , , , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Nature Portfolio
2024-08-01
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| Serie: | Communications Medicine |
| Länkar: | https://doi.org/10.1038/s43856-024-00590-z |
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