Table 2 Summary of the sensitivity, specificity, accuracy, and AUC in Group 1 vs. Groups 2 and 3 (Top) and Groups 1 and 2 vs. Group 3 (bottom).

From: Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them

Group 1 vs. Groups 2 and 3

Sensitivity

Specificity

Accuracy

AUC

AlexNet

0.93

0.66

0.84

0.78a,b

VGG-16

1.00

0.50

0.83

0.75c

Trainee

0.95

0.60

0.83

0.65a,c

Specialist

0.90

0.53

0.77

0.71b

Groups 1 and 2 vs. Group 3

Sensitivity

Specificity

Accuracy

AUC

AlexNet

0.90d,e

0.50

0.63

0.69

VGG-16

0.93f.,g

0.40

0.57

0.66

Trainee

0.46d,f

0.80

0.68

0.63

Specialist

0.46e,g

0.81

0.70

0.64

  1. AUC: Area under the receiver operating characteristic curve.
  2. a, b, c, d, e, f, and g: Values with the same character denote significant differences between them by the chi-square test with p < 0.05.
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