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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