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Table 5 Diagnostic performance of the framework and individual dentists for residual roots

From: Artificial intelligence in the diagnosis of dental diseases on panoramic radiographs: a preliminary study

Var

Spe

Sen

Youden’s index

AUC (SE; 95% CI)

P

Z

Framework

0.999

0.871

0.870

0.935 (0.02150; 0.929–0.940)

ref

ref

H1

1.000

0.919

0.919

0.960 (0.01740; 0.955–0.964)

0.310

1.016

H2

0.999

0.919

0.918

0.959 (0.01740; 0.955–0.963)

0.316

1.003

H3

1.000

0.887

0.887

0.943 (0.02030; 0.938–0.948)

0.731

0.344

M1

0.999

0.823

0.822

0.911 (0.02450; 0.905–0.917)

0.412

0.821

M2

0.999

0.839

0.838

0.919 (0.02350; 0.913–0.925)

0.567

0.572

M3

0.999

0.855

0.854

0.927 (0.02260; 0.921–0.932)

0.761

0.304

L1

0.999

0.839

0.838

0.919 (0.02350; 0.912–0.925)

0.592

0.536

L2

1.000

0.871

0.871

0.935 (0.02150; 0.930–0.941)

0.987

0.017

L3

0.999

0.839

0.838

0.919 (0.02350; 0.913–0.925)

0.569

0.570

  1. Delong test was conducted for statistically analysis of the difference of AUC between the framework and the dentists. * represents significant difference (p < 0.05)