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Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm.

Gökhan Serhat DuranŞule GökmenKübra Gülnur TopsakalSerkan Görgülü
Published in: Orthodontics & craniofacial research (2023)
The results obtained from fully automatic cephalometric analysis software with artificial intelligence algorithms are similar to the results of non-automated cephalometric analysis software, although there are differences in some parameters. To minimize the margin of error in artificial intelligence-based fully automatic cephalometric software, the manual intervention of the observer is needed.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • randomized controlled trial