Predicting Final Restoration Color Using Neural Network Models: The Impact of Substrate Lightness Versus Ceramic Shade, Translucency and Thickness
Neural networks offer promise as predictive tools for clinicians, aiding in selecting materials and fabrication parameters to achieve desired esthetic outcomes.
Authors
- Mateus Garcia Rocha (ORCID: https://orcid.org/0000-0001-5658-5640)
- Muneera Almedaires (ORCID: https://orcid.org/0000-0001-9190-3624)
- Nader Abdulhameed (ORCID: https://orcid.org/0000-0001-8137-2495)
- Alex J. Delgado (ORCID: https://orcid.org/0000-0001-5862-7234)
- Patrícia Pereira (ORCID: https://orcid.org/0000-0002-4243-2974)
- Dayane Carvalho Ramos Salles de Oliveira (ORCID: https://orcid.org/0000-0003-1420-5720)
Institutions
- University of Florida (US)
- Imam Abdulrahman Bin Faisal University (SA)
Publication Details
- Journal
- Journal of Esthetic and Restorative Dentistry
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1111/jerd.13469
- Citations
- 2
- Primary Topic
- Dental materials and restorations
- Type
- article
- Field-Weighted Citation Impact
- 3.35