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Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System.

Andrej ThurzoVeronika KurilováIvan Varga
Published in: Healthcare (Basel, Switzerland) (2021)
Implementation of application update including computerized decision processes can significantly enhance clinical performance of existing health care applications and improve patients' compliance. Using the algorithm with decision tree architecture could create a baseline for further machine learning optimization.
Keyphrases
  • artificial intelligence
  • machine learning
  • end stage renal disease
  • healthcare
  • ejection fraction
  • newly diagnosed
  • deep learning
  • chronic kidney disease
  • prognostic factors
  • primary care
  • decision making
  • health insurance