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Table 3 Diagnostic performance of the framework and individual dentists for full crowns

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

0.998

0.953

0.951

0.975 (0.00641; 0.972–0.978)

ref

ref

H1

0.999

0.971

0.970

0.985 (0.00508; 0.982–0.988)

0.241

1.173

H2

0.999

0.960

0.959

0.980 (0.00592; 0.976–0.982)

0.642

0.465

H3

1.000

0.964

0.964

0.982 (0.00566; 0.979–0.984)

0.458

0.743

M1

0.999

0.953

0.952

0.976 (0.00641; 0.973–0.979)

0.944

0.070

M2

1.000

0.938

0.938

0.969 (0.00728; 0.965–0.972)

0.464

0.732

M3

1.000

0.953

0.953

0.976 (0.00641; 0.973–0.979)

0.922

0.098

L1

0.999

0.920

0.919

0.960 (0.00820; 0.955–0.964)

0.130

1.516

L2

0.999

0.909

0.908

0.954 (0.00869; 0.950–0.958)

0.037*

2.090

L3

0.999

0.956

0.955

0.978 (0.00617; 0.974–0.981)

0.775

0.286

  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)