Applicability and robustness of an artificial intelligence-based assessment for Greulich and Pyle bone age in a German cohort.

Johanna PapeFranz Wolfgang HirschOliver Johannes DeffaaMatthew D DiFrancoMaciej RosolowskiDaniel Gräfe

Published in: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin (2023)

· Bone age, as determined by artificial intelligence, aligns with the chronological age of the contemporary German cohort under study.. · As determined by artificial intelligence, bone age is remarkably robust, even when utilizing oblique X-ray projections..

Keyphrases

artificial intelligence
machine learning
big data
deep learning
bone mineral density
soft tissue
bone loss
bone regeneration
postmenopausal women
clinical evaluation