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All evidence

Clinical Validation of an Artificial Intelligence Software for Bone Age Assessment based on Greulich & Pyle method in a Portuguese Paediatric Cohort.

Data

267 hand and wrist radiographs from 229 children

79 radiographs classified as pathological

Mean chronological age = 9.16 years

Design

Standalone performance of BoneAge

Ground truth established by the consensus of two expert readers based on the G&P atlas

In case of discrepancies the radiographs were reviewed by an experienced radiologist with 10 years of experience

Results

G&P prediction

BoneAge

Bias -2.55 mo

MAE 4.9 mo

r 0.98

Classification into healthy or pathological

BoneAge

Cohen’s d 0.667

Sensitivity 67.6%

Specificity 96.2%

PPV 92.4%

NPV 81.4%

Accuracy 84.6%

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