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A deep learning system for predicting time to progression of diabetic retinopathy

We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.

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Fig. 1: DeepDR Plus predicts DR time to progression.

References

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This is a summary of: Dai, L. et al. A deep learning system for predicting time to progression of diabetic retinopathy. Nat. Med. https://doi.org/10.1038/s41591-023-02702-z (2024).

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A deep learning system for predicting time to progression of diabetic retinopathy. Nat Med 30, 358–359 (2024). https://doi.org/10.1038/s41591-023-02742-5

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