Skip to main content

Table 2 Summary of main results

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

CharacteristicsOverallBoysGirls
Number of patients514252262
Mean chronological age ± SD10.20 ± 4.8510.31 ± 3.9310.10 ± 3.65
Mean reference BA ± SD9.91 ± 2.859.95 ± 2.899.87 ± 2.87
Mean AI-derived BA ± SD9.98 ± 2.949.99 ± 2.989.96 ± 2.91
Accuracy of AI-derived BAMAD 0.34
RMSD 0.38
MAD 0.34
RMSD 0.40
MAD 0.33
RMSD 0.36
Mean GP-based BA ± SD10.18 ± 3.9410.21 ± 3.8810.15 ± 3.97
Accuracy of GP-based BAMAD 0.79
RMSD 0.89
MAD 0.79
RMSD 0.90
MAD 0.80
RMSD 0.88
  1. Apart from number of patients, all values are given in years
  2. AI Artificial intelligence, BA Bone age, GP Greulich-Pyle, MAD Mean absolute deviation, RMSD Root mean square deviation, SD Standard deviation