Login / Signup

Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method.

Daniel GräfeAnne Bettina BeeskowRoland PfäffleMaciej RosolowskiTek Sin ChungMatthew David DiFranco
Published in: European radiology (2023)
• A novel artificial intelligence-based software for bone age estimation has not yet been clinically validated. • Artificial intelligence showed a good agreement and high accuracy with expert radiologists performing bone age assessment. • Artificial intelligence showed to be interchangeable with expert readers.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • bone mineral density
  • soft tissue
  • bone loss
  • bone regeneration
  • clinical practice
  • young adults