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Table 2 Area under the ROC curve, sensitivity, and specificity of each image set evaluated

From: Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

 

Tertiary hospital in Porto Alegre 2019

Tertiary hospital in Porto Alegre 2021

TeleOftalmo

UNIFESP

All

Area under the ROC curve, (95% CI)

0.92 (0.89–0.95)

0.95 (0.92–0.97)

0.98 (0.98–0.99)

0.94 (0.92–0.97)

0.98 (0.97–0.98)

Sensitivity (%) (95% CI)

95.3 (92.4–98.3)

95.3 (91.7–99.0)

95.2 (93.7–96.7)

95.3 (92.0–98.5)

95.1 (93.9–96.3)

Specificity (%) (95% CI)

56.7 (52.7–60.8)

72.4 (67.7–77.2)

92.6 (91.5–93.7)

80.5 (77.3–83.6)

90.9 (89.9–91.9)

  1. ROC: receiver operating characteristic; data are presented as percentage and confidence intervals (CIs)
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Diabetology & Metabolic Syndrome

ISSN: 1758-5996

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