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Artificial intelligence-based algorithm for cervical vertebrae maturation stage assessment.

Mohamad Talal RadwanÇağla SinNurullah AkkayaLevent Vahdettin
Published in: Orthodontics & craniofacial research (2022)
The developed algorithm showed the ability to determine the cervical vertebrae maturation stage which might aid in a faster diagnosis process by eliminating human intervention, which might lead to wrong decision-making procedures that might affect the outcome of the treatment plan. The developed algorithm proved reliable in determining the pre-pubertal and post-pubertal growth stages with high accuracy.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • decision making
  • endothelial cells
  • randomized controlled trial
  • neural network