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Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach.

Ana Luiza DalloraOla Ft KvistJohan Sanmartin BerglundSandra Diaz RuizMartin BoldtCarl-Erik FlodmarkPeter Anderberg
Published in: JMIR medical informatics (2020)
This study investigates CA estimation through BAA using machine learning methods in 2 ways: minor versus adult classification and CA estimation in 8 age groups (aged 14-21 years), while addressing the drawbacks in the research on BAA. The first achieved good results; however, for the second case, the BAA was not precise enough for the classification.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • lymph node
  • bone mineral density
  • big data
  • pet ct
  • young adults