Login / Signup

Predicting patient experience of Invisalign treatment: An analysis using artificial neural network.

Lin XuLi MeiRuiqi LuYuan LiHanshi LiYu Li
Published in: Korean journal of orthodontics (2022)
The constructed ANNs in this preliminary study show good accuracy in predicting patient experience (i.e., pain, anxiety, and QoL) of Invisalign treatment. Artificial intelligence system developed for predicting patient comfort has potential for clinical application to enhance patient compliance.
Keyphrases
  • artificial intelligence
  • neural network
  • machine learning
  • big data
  • deep learning
  • spinal cord injury
  • risk assessment
  • replacement therapy
  • spinal cord
  • combination therapy
  • climate change
  • smoking cessation