AIMC Topic: Crowns
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Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study.
International dental journal
Jul 28, 2024
INTRODUCTION AND AIMS: Artificial intelligence (AI) has been adopted in the field of dental restoration. This study aimed to evaluate the time efficiency and morphological accuracy of crowns designed by two AI-powered software programs in comparison ...
Deep learning-designed implant-supported posterior crowns: Assessing time efficiency, tooth morphology, emergence profile, occlusion, and proximal contacts.
Journal of dentistry
Jun 19, 2024
OBJECTIVES: To compare implant supported crowns (ISCs) designed using deep learning (DL) software with those designed by a technician using conventional computer-aided design software.
Anomaly detection of retention loss in fixed partial dentures using resonance frequency analysis and machine learning: An in vitro study.
Journal of prosthodontic research
Feb 22, 2024
PURPOSE: This study aimed to determine the usefulness of machine learning techniques, specifically supervised and unsupervised learning, for assessing the cementation condition between a fixed partial denture (FPD) and its abutment using a resonance ...
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...
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.
Needs for re-intervention on restored teeth in adults: a practice-based study.
Clinical oral investigations
Jul 24, 2021
OBJECTIVES: Evaluate the need for re-intervention on dental coronal restorations in adults seen in a network of general dental practitioners (ReCOL). MATERIALS AND METHODS: This observational, cross-sectional, multicenter study involved 40 practitio...
Artificial intelligence in fixed implant prosthodontics: a retrospective study of 106 implant-supported monolithic zirconia crowns inserted in the posterior jaws of 90 patients.
BMC oral health
Mar 19, 2020
BACKGROUND: Artificial intelligence (AI) is a branch of computer science concerned with building smart software or machines capable of performing tasks that typically require human intelligence. We present a protocol for the use of AI to fabricate im...
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...
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