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Performance of the deep learning models in the dataset from the Zhongshan Ophthalmic Centre.
| AUC | Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | |
|---|---|---|---|---|
| The first model | 1.000 (95% CI: 0.999–1.000) | 99.5% (98.5–100) | 99.5% (98.5–100) | 99.5% (98.8–100) |
| The second model | 0.934 (95% CI: 0.846–0.995) | 93.5% (84.5–100) | 95.3% (92.0–98.6) | 95.0% (91.9–98.1) |
AUC area under the curve, RD retinal detachment. The first model is used to identify RD. The second model is used to identify macula-on RD
