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Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Sung Joo ChoJun-Ho MoonDong-Yub KoJu-Myung LeeJi-Ae ParkRichard E DonatelliShin-Jae Lee
Published in: The Angle orthodontist (2024)
When predicting changes following orthodontic treatment, AI was not as effective as conventional statistical methods. However, AI had an outstanding advantage in predicting soft tissue landmarks with substantial variability. Overall, results may indicate the need for a hybrid prediction model that combines conventional and AI methods.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • soft tissue