AIMC Topic: Dental Bonding

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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).
Humans Machine Learning Materials Testing Ceramics Dental Bonding Dental Porcelain Resin Cements
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Deep learning for virtual orthodontic bracket removal: tool establishment and application.

Clinical oral investigations Jan 27, 2024
OBJECTIVE: We aimed to develop a tool for virtual orthodontic bracket removal based on deep learning algorithms for feature extraction from bonded teeth and to demonstrate its application in a bracket position assessment scenario.
Deep Learning Microscopy, Electron, Scanning Orthodontic Brackets Dental Bonding Dental Debonding
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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 ...
Humans Female Young Adult Adult Survival Rate Male Middle Aged Time Factors Treatment Outcome Oral Health Dental Materials Amelogenesis Imperfecta Bruxism Ceramics Dental Bonding Dental Cements Dental Marginal Adaptation Dental Porcelain Dental Restoration Failure Dental Veneers Dentition Incisor Periodontal Index Tooth Fractures Tooth Wear
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