Skip to main content

Table 4 Radiologists’ specificity and sensitivity results for each threshold

From: A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Reader

Threshold

Specificity

Sensitivity

Ensemble4Covid sensitivity

Reader 1

High

98% (96–99%)

20% (14–25%)

31% (21–41%)

Low

86% (82–90%)

35% (28–41%)

66% (58–76%)

Reader 2

High

96% (94–98%)

19% (14–24%)

41% (33–48%)

Low

87% (83–91%)

32% (27–39%)

65% (55–73%)

Reader 3

High

98% (96–99%)

15% (10–20%)

31% (21–41%)

Low

88% (84–92%)

25% (19–31%)

62% (53–71%)

Reader 4

High

86% (81–90%)

51% (44–58%)

66% (58–76%)

Low

70% (64–75%)

61% (55–68%)

85% (79–89%)

Reader 5

High

82% (77–86%)

56% (50–62%)

76% (67–82%)

Low

67% (61–73%)

69% (63–75%)

85% (81–90%)

  1. The sensitivity of the Ensemble4Covid model for the same mean specificity is also displayed. Values in parenthesis are 95% confidence intervals