Table 2.
Performance of the deep learning models vs. general ophthalmologists in the test sets.
Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | |
---|---|---|---|
Retinal detachment | |||
Ophthalmologist A | 95.4% (93.0–97.8) | 99.8% (99.6–100) | 99.0% (98.5–99.5) |
Ophthalmologist B | 94.4% (91.7–97.1) | 99.1% (98.6–99.6) | 98.2% (97.5–98.9) |
The first model | 96.1% (93.9–98.3) | 99.6% (99.3–99.9) | 98.9% (98.4–99.4) |
Macula-on detachment | |||
Ophthalmologist A | 91.3% (84.8–97.8) | 92.4% (88.4–96.4) | 92.1% (88.7–95.5) |
Ophthalmologist B | 86.3% (78.2–94.4) | 87.1% (81.9–92.3) | 86.8% (82.4–91.2) |
The second model | 93.8% (88.3–99.3) | 90.9% (86.6–95.2) | 91.7% (88.2–95.2) |
A general ophthalmologist with 5 years of working experience at a physical examination centre, B general ophthalmologist with 3 years of working experience at a physical examination centre, CI confidence interval