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Table 1 Demographic and clinical characteristics of patients included as simulation cases

From: Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study

Variable

Total (n = 388)

Normal (n = 129)

Abnormal (n = 259)

Age, years

68 (58, 77)

62 (44, 72)

70 (62, 78)

Male

222 (57.22%)

65 (50.39%)

157 (60.62%)

Previous CR available

274 (70.62%)

84 (65.12%)

190 (73.36%)

View of CR

 Anteroposterior

189 (48.71%)

46 (35.66%)

143 (55.21%)

 Posteroanterior

199 (51.29%)

83 (64.34%)

116 (44.79%)

Abnormality score

33.80 (5.74, 68.75)

3.35 (1.57, 8.89)

59.3 (31.77, 76.25)

  1. Continuous variables are expressed as medians (Q1, Q3). Categorical variables are expressed as counts (%)
  2. CR, chest radiograph