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Near-Adult Heights and Adult Height Predictions Using Automated and Conventional Greulich-Pyle Bone Age Determinations in Children with Chronic Endocrine Diseases.

Daniela ChoukairAnnette HückmannJanna MittnachtThomas BreilJens Peter SchenkAbdulsattar AlrajabLorenz UhlmannMarkus Bettendorf
Published in: Indian journal of pediatrics (2022)
BA ratings and adult height predictions by BoneXpert™ in children with chronic endocrinopathies abolish rater-dependent variability and enhance reproducibility of estimates thereby refining care in growth disorders. Conventional methods may outperform automated analyses in specific cases.
Keyphrases
  • body mass index
  • young adults
  • machine learning
  • deep learning
  • high throughput
  • healthcare
  • palliative care
  • childhood cancer
  • quality improvement
  • postmenopausal women
  • soft tissue
  • health insurance