Using artificial intelligence to predict the final color of leucite-reinforced ceramic restorations.

Journal: Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
PMID: 36592128

Abstract

OBJECTIVES: The aim of this study was to evaluate the accuracy of machine learning regression models in predicting the final color of leucite-reinforced glass CAD/CAM ceramic veneer restorations based on substrate shade, ceramic shade, thickness and translucency.

Authors

  • Carlos Kose
    Tufts University, School of Dental Medicine, Comprehensive Care, Boston, Massachusetts, USA.
  • Dayane Oliveira
    Center for Dental Biomaterials, Division of Operative Dentistry, Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.
  • Patricia N R Pereira
    Center for Dental Biomaterials, Division of Operative Dentistry, Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.
  • Mateus Garcia Rocha
    Center for Dental Biomaterials, Division of Operative Dentistry, Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.

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