AIMC Topic: Prosthesis Coloring

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

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Mar 28, 2025
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 shad...
Color Spectrophotometry Humans Neural Networks, Computer Dental Restoration, Permanent Prosthesis Coloring Ceramics Dental Porcelain
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ML-based tooth shade assessment to prevent metamerism in different clinic lights.

Lasers in medical science Jan 24, 2025
The aesthetic understanding has found its place in dental clinics and prosthetic dental treatment. Determining the appropriate prosthetic tooth color between the clinician, patient and technician is a difficult process due to metamerism. Metamerism, ...
Lighting Tooth Prosthesis Coloring Esthetics, Dental Algorithms Color Humans Machine Learning
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Machine-Learning-Based Spectral Modeling: A Biomimetic Guide for Enhancing Esthetics.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Dec 8, 2024
OBJECTIVE: To provide guidelines and means for optimal coverage and distribution of computer models with 1-10 clusters, designed based on an in vivo extensive dental colorimetric database and compare the findings with some reputable shade guides.
Fuzzy Logic Color Algorithms Colorimetry Prosthesis Coloring Esthetics, Dental Biomimetics Dental Prosthesis Design Humans Machine Learning
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ARTIFICIAL INTELLIGENCE IN DENTAL SHADE-MATCHING SHOWS PROMISING POTENTIAL FOR PRECISION IN RESTORATIVE DENTISTRY, THOUGH REQUIRING FURTHER IMPROVEMENT.

The journal of evidence-based dental practice Sep 17, 2024
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Shetty, S., et al. (2023). "Artificial intelligence systems in dental shade-matching: A systematic review." J Prosthodont. DOI: 10.1111/jopr.13805.
Dental Restoration, Permanent Prosthesis Coloring Systematic Reviews as Topic Dental Prosthesis Design Artificial Intelligence Color Humans
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Introducing a novel approach to dental color reproduction using AI technology.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Aug 18, 2024
OBJECTIVE: This article aims to describe a systematic method for tooth color reproduction with ceramics restorations employing artificial intelligence (AI) software named Matisse. It provides a comprehensive analysis of the entire process, beginning ...
Humans Color Ceramics Prosthesis Coloring Female Computer-Aided Design Artificial Intelligence Software
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Artificial intelligence systems in dental shade-matching: A systematic review.

Journal of prosthodontics : official journal of the American College of Prosthodontists Dec 6, 2023
PURPOSE: Uses for artificial intelligence (AI) are being explored in contemporary dentistry, but artificial intelligence in dental shade-matching has not been systematically reviewed and evaluated. The purpose of this systematic review was to evaluat...
Color Dental Prosthesis Design Prosthesis Coloring Neural Networks, Computer Artificial Intelligence Humans
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The prediction in computer color matching of dentistry based on GA+BP neural network.

Computational and mathematical methods in medicine Mar 22, 2015
Although the use of computer color matching can reduce the influence of subjective factors by technicians, matching the color of a natural tooth with a ceramic restoration is still one of the most challenging topics in esthetic prosthodontics. Back p...
Dentistry Prosthesis Coloring Reproducibility of Results Pattern Recognition, Automated Dental Materials Prosthodontics Software Algorithms Humans Neural Networks, Computer
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Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches.

Journal of Indian Prosthodontic Society Jan 1, 2023
AIM: This study aimed to compare the performance of two deep learning algorithms, attention-based gated recurrent unit (GRU), and the artificial neural networks (ANNs) algorithm for coloring silicone maxillofacial prostheses.
Silicone Elastomers Humans Deep Learning Maxillofacial Prosthesis Prosthesis Coloring Color Materials Testing
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