Table 2 Detailed performance metrics for different AI models in DJD diagnosis.

From: Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data

Model

 

Precision

Recall

F1-score

Accuracy

Macro average

F1-score

1

True = D

0.78

0.53

0.63

0.72

0.70

True = N

0.69

0.88

0.77

2

True = D

0.81

0.55

0.66

0.74

0.72

True = N

0.71

0.89

0.79

3

True = D

0.69

0.63

0.66

0.70

0.70

True = N

0.71

0.76

0.74

4

True = D

0.71

0.67

0.69

0.72

0.72

True = N

0.74

0.77

0.75

5

True = D

0.69

0.61

0.65

0.69

0.69

True = N

0.70

0.77

0.73

6

True = D

0.74

0.58

0.65

0.72

0.71

True = N

0.71

0.83

0.76

  1. AI, artificial intelligence; DJD, degenerative joint disease; D, degenerative joint disease; N, normal.