AIMC Topic: Composite Resins

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Dental Composite Performance Prediction Using Artificial Intelligence.

Journal of dental research Feb 14, 2025
There is a need to increase the performance and longevity of dental composites and accelerate the translation of novel composites to the market. This study explores the use of artificial intelligence (AI), specifically machine learning (ML) models, t...
Flexural Strength Composite Resins Dental Materials Humans Artificial Intelligence Support Vector Machine Decision Trees Machine Learning
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Implementation of machine learning models as a quantitative evaluation tool for preclinical studies in dental education.

Journal of dental education Sep 26, 2024
PURPOSE AND OBJECTIVE: Objective, valid, and reliable evaluations are needed in order to develop haptic skills in dental education. The aim of this study is to investigate the validity and reliability of the machine learning method in evaluating the ...
Humans Clinical Competence Educational Measurement Education, Dental Machine Learning Reproducibility of Results Students, Dental Composite Resins Dental Amalgam Dental Restoration, Permanent
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CAD-CAM resin composites: Effective components for further development.

Dental materials : official publication of the Academy of Dental Materials Jan 15, 2024
OBJECTIVE: This paper summarizes the effective components of computer-aided design and computer-aided manufacturing (CAD-CAM) resin composites that contribute to achieving greater mechanical properties and further development.
Silanes Surface Properties Ceramics Artificial Intelligence Composite Resins Materials Testing Computer-Aided Design
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Prediction of abrasive wears behavior of dental composites using an artificial neural network.

Computer methods in biomechanics and biomedical engineering Jun 8, 2022
Resin composites are widely used as dental restorative materials since dental parts are subjected to prolonged wear and ultimately need to be replaced. The objective of this study is to analyze the potential of the feed-forward back propagation artif...
Dental Materials Materials Testing Surface Properties Bayes Theorem Neural Networks, Computer Composite Resins
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Automated detection of posterior restorations in permanent teeth using artificial intelligence on intraoral photographs.

Journal of dentistry Apr 5, 2022
OBJECTIVES: Intraoral photographs might be considered the machine-readable equivalent of a clinical-based visual examination and can potentially be used to detect and categorize dental restorations. The first objective of this study was to develop a ...
Neural Networks, Computer Dental Restoration, Permanent Tooth Artificial Intelligence Dental Amalgam Photography, Dental Deep Learning Gold Composite Resins
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Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI.

Journal of dental research Aug 3, 2019
A preventive measure for debonding has not been established and is highly desirable to improve the survival rate of computer-aided design/computer-aided manufacturing (CAD/CAM) composite resin (CR) crowns. The aim of this study was to assess the usef...
Computer-Aided Design Dental Restoration Failure Humans Crowns Composite Resins Artificial Intelligence Dental Prosthesis Design
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Use of Artificial Neural Network in Determination of Shade, Light Curing Unit, and Composite Parameters' Effect on Bottom/Top Vickers Hardness Ratio of Composites.

BioMed research international Nov 12, 2018
OBJECTIVE: To assess the influence of light emitting diode (LED) and quartz tungsten halogen (QTH) light curing unit (LCU) on the bottom/top (B/T) Vickers Hardness Number (VHN) ratio of different composites with different shades and determination of ...
Hardness Analysis of Variance Composite Resins Neural Networks, Computer Dental Materials Curing Lights, Dental Materials Testing
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A machine learning model exploring creep performance of dental composites.

Dental materials : official publication of the Academy of Dental Materials Jul 1, 2025
OBJECTIVES: Viscoelastic creep behaviour of RBCs determines their dimensional stability and thus contributes to their clinical performance. However, due to complex material compositional variations and differing testing protocols, comparing and analy...
Machine Learning Elasticity Viscosity Dental Materials Composite Resins Materials Testing
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A deep learning approach to dental restoration classification from bitewing and periapical radiographs.

Quintessence international (Berlin, Germany : 1985) Jun 9, 2021
OBJECTIVE: The aim of this study was to examine the success of deep learning-based convolutional neural networks (CNN) in the detection and differentiation of amalgam, composite resin, and metal-ceramic restorations from bitewing and periapical radio...
Composite Resins Humans Radiography Deep Learning Neural Networks, Computer ROC Curve
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Comparative evaluation of three different glass ionomer cements.

Indian journal of dental research : official publication of Indian Society for Dental Research Jan 1, 2021
CONTEXT: Newer glass ionomer cements with improved properties are constantly being developed. One such material is the novel Hybrid Glass-Ionomer cement (HGIC) with properties yet to be studied.
Shear Strength Glass Ionomer Cements Composite Resins Materials Testing Fluorides
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