Skip to main content

Table 1 Detailed characterisation of the patient cohort in this study (n = 514)

From: Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method

Characteristics

Value

Age, years, mean ± standard deviation (min, max)

10.20 ± 4.85 (3, 17)

Male, n (%)

252 (49.0)

Female, n (%)

262 (51.0)

Known indications for the examinations

Pubertas praecox, n (%)

52 (10.1)

 Acute lymphoblastic leukaemia, n (%)

19 (3.7)

 Therapy with growth hormone, n (%)

14 (2.7)

 Macrosomia, n (%)

112 (21.8)

 Microsomia, n (%)

218 (42.4)

 Other diseases, n (%)

99 (19.3)