Retrospective validation of an AI algorithm for automated bone age assessment in paediatric hand radiographs
Medsoft, 2025
ABSTRACT
Bone age is a radiological indicator of bone maturity that is routinely assessed in children and adolescents to evaluate growth and diagnose endocrine or chronic diseases. This retrospective study verifies the accuracy of an artificial intelligence algorithm (Carebot AI Bones, Bone Age function; Carebot s. r. o.) for automatically estimating bone maturity from dorsopalmary X-ray images. We analyzed 96 anonymized images (20–216 months; median 108) taken between January and June 2025. The reference standard was independently established by a radiologist and anthropologist according to the GP atlas, with consensus in case of disagreement. The index test was the algorithm’s prediction in months.
