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Table 5 Summary of the sub-group analysis

From: Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis

  

CS1

CS2

CS3

CS4

CS5

CS6

Se 

Deep learning

0.84

(0.76–0.89)

0.73

(0.63–0.80)

0.67

(0.60–0.73)

0.77

(0.70–0.82)

0.77

(0.70–0.83)

0.81

(0.76–0.84)

Machine learning

0.93

(0.86–0.97)

0.72

(0.56–0.85)

0.57

(0.43–0.69)

0.52

(0.38–0.65)

0.53

(0.37–0.69)

0.74

(0.66–0.82)

Sp 

Deep learning

0.97

(0.96–0.98)

0.94

(0.92–0.96)

0.95

(0.93–0.96)

0.94

(0.92–0.96)

0.94

(0.92–0.95)

0.97

(0.96–0.98)

Machine learning

0.95

(0.89–0.97)

0.97

(0.94–0.98)

0.94

(0.90–0.96)

0.93

(0.88–0.95)

0.95

(0.92–0.96)

0.93

(0.87–0.97)

  1. Se Sensitivity, Sp Specificity
  2. Numbers in the parenthesis indicate the range for each metric by 95% CI