Predicting Final Restoration Color Using Neural Network Models: The Impact of Substrate Lightness Versus Ceramic Shade, Translucency and Thickness.

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

Abstract

OBJECTIVES: This study aimed to assess the influence of background color, ceramic shade, translucency, and thickness on the color matching of lithium disilicate restorations and to use a neural network model to predict the optimal parameters for shade matching.

Authors

  • Muneera Almedaires
    Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.
  • Alejandro Delgado
    Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.
  • Nader Abdulhameed
    Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.
  • Patricia Pereira
    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.
  • Dayane Oliveira
    Center for Dental Biomaterials, Division of Operative Dentistry, Department of Restorative Dental Sciences, College of Dentistry, University of Florida, Gainesville, Florida, USA.