AIMC Topic: Models, Dental
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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...
An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Apr 6, 2023
OBJECTIVES: Within the development of digital technologies, dental professionals aim to integrate virtual diagnostic articulated casts obtained by using intraoral scanners (IOSs), the mandibular motion of the patient recorded by using an optical jaw ...
Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study.
The Journal of prosthetic dentistry
Jan 9, 2023
STATEMENT OF PROBLEM: Computer-aided design and computer-aided manufacturing (CAD-CAM) technology has greatly improved the efficiency of the fabrication of dental prostheses. However, the design process (CAD stage) is still time-consuming and labor i...
Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning.
Scientific reports
Jun 8, 2022
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and clas...
Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.
Progress in orthodontics
May 9, 2022
OBJECTIVE: This study aimed to evaluate the accuracy of deep learning-based integrated tooth models (ITMs) by merging intraoral scans and cone-beam computed tomography (CBCT) scans for three-dimensional (3D) evaluation of root position during orthodo...
RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism.
Computational and mathematical methods in medicine
Nov 10, 2021
Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet...
Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning.
Computational and mathematical methods in medicine
Nov 5, 2021
OBJECTIVE: Based on deep learning, the characteristics of food impaction with tight proximal contacts were studied to guide the subsequent clinical treatment of occlusal adjustment. At the same time, digital model building, software measurement, and ...
The extraction method of tooth preparation margin line based on S-Octree CNN.
International journal for numerical methods in biomedical engineering
Aug 6, 2019
The tooth preparation margin line has a significant impact on the marginal fitness for dental restoration. Among the previous methods, the extraction of margin line mainly relies on manual interaction, which is complicated and inefficient. Therefore,...
Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data.
Computers in biology and medicine
Nov 27, 2016
Chairside manufacturing based on digital image acquisition is gainingincreasing importance in dentistry. For the standardized application of these methods, it is paramount to have highly automated digital workflows that can process acquired 3D image ...
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.
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