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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

CharacteristicsValue
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)