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. 2020 Jan 8;3:15. doi: 10.1038/s42003-019-0730-x

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