Skip to main content

Table 1 Summary of demographic variables for development, internal validation, and external validation

From: Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

Variables

Development set (n = 923/1042)*

Internal validation set (n = 101/179)

External validation set (n = 301/448)

Demographics

   

Female (%, female:male)

46.3 (427:496)

36.6 (37:64)

37.5 (113:188)

Age

60.3 ± 14.0

60.5 ± 12.1

65.4 ± 14.6

Height (cm)

163.0 ± 9.1

163.8 ± 8.9

162.7 ± 9.8

Weight (g)

62.4 ± 12.2

64.2 ± 13.8

62.1 ± 13.2

BMI

23.5 ± 3.7

23.8 ± 3.8

23.4 ± 4.0

Disease category

Patients

CT scan

Patients

CT scan

Patients

CT scan

Cancer

558

620

71

126

62

89

Benign tumor

66

70

8

8

2

2

Infection

62

87

5

19

46

97

Hemorrhage

11

11

1

1

33

41

Cirrhosis

14

17

3

6

21

49

Stone

28

36

0

0

4

6

Cyst

16

18

1

1

0

0

Transplant

19

22

1

1

0

0

Blunt trauma

2

2

0

0

33

50

Health check-up

147

159

11

17

100

114

  1. * Number of patients/CT scans