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Mapping an intelligent algorithm for predicting female adolescents' cervical vertebrae maturation stage with high recall and accuracy.

Huayu YeHongrui QinYing TangNicha UngvijanpunyaYongchao Gou
Published in: Progress in orthodontics (2024)
An unbiased and objective assessment of the cervical vertebrae maturation (CVM) method can function as a decision-support tool, assisting in the evaluation of the optimal timing for treatment in growing adults. Our novel proposed logistic model yielded individual formulas for each specific CVM stage and attained exceptional performance, indicating the capability to function as a benchmark for maturity evaluation in clinical craniofacial orthopedics for Chinese female adolescents.
Keyphrases
  • young adults
  • physical activity
  • machine learning
  • deep learning
  • combination therapy
  • high density