AIMC Topic: Dental Prosthesis Design
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Generative deep learning approaches for the design of dental restorations: A narrative review.
Journal of dentistry
Apr 11, 2024
OBJECTIVES: This study aims to explore and discuss recent advancements in tooth reconstruction utilizing deep learning (DL) techniques. A review on new DL methodologies in partial and full tooth reconstruction is conducted.
Precise tooth design using deep learning-based templates.
Journal of dentistry
Mar 26, 2024
OBJECTIVES: In prosthodontic procedures, traditional computer-aided design (CAD) is often time-consuming and lacks accuracy in shape restoration. In this study, we combined implicit template and deep learning (DL) to construct a precise neural networ...
Deep learning in the overall process of implant prosthodontics: A state-of-the-art review.
Clinical implant dentistry and related research
Jan 29, 2024
Artificial intelligence represented by deep learning has attracted attention in the field of dental implant restoration. It is widely used in surgical image analysis, implant plan design, prosthesis shape design, and prognosis judgment. This article ...
Convolutional neural network-based measurement of crown-implant ratio for implant-supported prostheses.
The Journal of prosthetic dentistry
Jan 25, 2024
STATEMENT OF PROBLEM: Research has revealed that the crown-implant ratio (CIR) is a critical variable influencing the long-term stability of implant-supported prostheses in the oral cavity. Nevertheless, inefficient manual measurement and varied meas...
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...
Deep learning-based automated detection of the dental crown finish line: An accuracy study.
The Journal of prosthetic dentistry
Dec 13, 2023
STATEMENT OF PROBLEM: The marginal fit of dental prostheses is a clinically significant issue, and dental computer-aided design software programs use automated methods to expedite the extraction of finish lines. The accuracy of these automated method...
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...
Discrepancies in the occlusal devices designed by an experienced dental laboratory technician and by 2 artificial intelligence-based automatic programs.
The Journal of prosthetic dentistry
Oct 3, 2023
STATEMENT OF PROBLEM: Artificial intelligence (AI) models have been developed for different applications, including the automatic design of occlusal devices; however, the design discrepancies of an experienced dental laboratory technician and these A...
Performance evaluation of deep learning models for the classification and identification of dental implants.
The Journal of prosthetic dentistry
Sep 9, 2023
STATEMENT OF PROBLEM: Dental implant systems can be identified using image classification deep learning. However, investigations on the accuracy of classifying and identifying implant design through an object detection model are lacking.
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.
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