AIMC Topic: Dental Porcelain

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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...
Humans Neural Networks, Computer Dental Porcelain Dental Restoration, Permanent Prosthesis Coloring Color Spectrophotometry Ceramics
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The influence of different factors on the bond strength of lithium disilicate-reinforced glass-ceramics to Resin: a machine learning analysis.

BMC oral health Feb 18, 2025
BACKGROUND: To assess the influence of various factors on the bond strength of glass-based ceramics and develop a model that can predict the bond strength values using machine learning (ML).
Resin Cements Dental Bonding Dental Porcelain Humans Machine Learning Materials Testing Ceramics
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Tooth morphology, internal fit, occlusion and proximal contacts of dental crowns designed by deep learning-based dental software: A comparative study.

Journal of dentistry Dec 30, 2023
OBJECTIVES: This study compared the tooth morphology, internal fit, occlusion, and proximal contacts of dental crowns automatically generated via two deep learning (DL)-based dental software systems with those manually designed by an experienced dent...
Software Dental Prosthesis Design Dental Porcelain Ceramics Computer-Aided Design Crowns Dental Marginal Adaptation Deep Learning
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Morphology and mechanical performance of dental crown designed by 3D-DCGAN.

Dental materials : official publication of the Academy of Dental Materials Feb 21, 2023
OBJECTIVES: This study utilised an Artificial Intelligence (AI) method, namely 3D-Deep Convolutional Generative Adversarial Network (3D-DCGAN), which is one of the true 3D machine learning methods, as an automatic algorithm to design a dental crown.
Artificial Intelligence Algorithms Dental Stress Analysis Crowns Computer-Aided Design Dental Prosthesis Design Dental Porcelain
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Using artificial intelligence to predict the final color of leucite-reinforced ceramic restorations.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Jan 2, 2023
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 ...
Resin Cements Ceramics Dental Porcelain Artificial Intelligence Color Materials Testing Surface Properties Aluminum Silicates
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Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network.

Computational intelligence and neuroscience Jun 30, 2021
The texture image decomposition of porcelain fragments based on convolutional neural network is a functional algorithm based on energy minimization. It maps the image to a suitable space and can effectively decompose the image structure, texture, and...
Algorithms Wavelet Analysis Dental Porcelain Neural Networks, Computer
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Complete rehabilitation of compromised full dentitions with adhesively bonded all-ceramic single-tooth restorations: Long-term outcome in patients with and without amelogenesis imperfecta.

Journal of dentistry Dec 21, 2017
OBJECTIVES: This clinical follow-up evaluated the long-term outcome of full-mouth rehabilitations with adhesively bonded all-ceramic restorations in patients suffering from amelogenesis imperfecta (AI) or affected by extensive tooth wear including a ...
Tooth Fractures Tooth Wear Incisor Bruxism Periodontal Index Ceramics Dental Bonding Male Dental Materials Dental Restoration Failure Humans Time Factors Young Adult Middle Aged Dental Cements Amelogenesis Imperfecta Female Dental Veneers Adult Treatment Outcome Dental Marginal Adaptation Dentition Survival Rate Oral Health Dental Porcelain
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Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design.

Computer methods and programs in biomedicine May 19, 2017
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the p...
Dental Casting Technique Metals Dental Prosthesis Design Expert Systems Dental Porcelain Surface Properties Crowns
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In vitro evaluation of accuracy and precision of automated robotic tooth preparation system for porcelain laminate veneers.

The Journal of prosthetic dentistry May 5, 2015
STATEMENT OF PROBLEM: Controlling tooth reduction for porcelain laminate veneers (PLVs) in fractions of millimeters is challenging.
Imaging, Three-Dimensional Robotics Materials Testing Lasers Therapy, Computer-Assisted Computer-Aided Design Dental High-Speed Equipment Dental Porcelain Models, Dental Tooth Preparation, Prosthodontic Dental Veneers Incisor
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