Simultaneous Replacement of Maxillary Central Incisors with CEREC Biogeneric Reference Technique: A Case Report

Lotfi, Mehrdad; Ghasemi, Negin; Rahimi, Saeed; Özcan, Mutlu; Saghiri, Mohammad Ali; Shahidi, Atabak

doi:10.5681/joddd.2013.020

Cited by 11 publications

(1 citation statement)

References 26 publications

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“…Despite the wide application of CAD software, the use of virtual patient models and virtual articulators [ 10 – 12 ], as well as the preformed tooth morphology libraries facilitates designing dental prostheses over a shorter period, considerable time is still required to fit the dental prostheses into patients’ occlusion clinically [ 13 , 14 ]. The tooth morphology generated by these libraries do not fits in the individual patients.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study

et al. 2022

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Background Dental prostheses, which aim to replace missing teeth and to restore patients’ appearance and oral functions, should be biomimetic and thus adopt the occlusal morphology and three-dimensional (3D) position of healthy natural teeth. Since the teeth of an individual subject are controlled by the same set of genes (genotype) and are exposed to mostly identical oral environment (phenotype), the occlusal morphology and 3D position of teeth of an individual patient are inter-related. It is hypothesized that artificial intelligence (AI) can automate the design of single-tooth dental prostheses after learning the features of the remaining dentition. Materials and methods This article describes the protocol of a prospective experimental study, which aims to train and to validate the AI system for design of single molar dental prostheses. Maxillary and mandibular dentate teeth models will be collected and digitized from at least 250 volunteers. The (original) digitized maxillary teeth models will be duplicated and processed by removal of right maxillary first molars (FDI tooth 16). Teeth models will be randomly divided into training and validation sets. At least 200 training sets of the original and the processed digitalized teeth models will be input into 3D Generative Adversarial Network (GAN) for training. Among the validation sets, tooth 16 will be generated by AI on 50 processed models and the morphology and 3D position of AI-generated tooth will be compared to that of the natural tooth in the original maxillary teeth model. The use of different GAN algorithms and the need of antagonist mandibular teeth model will be investigated. Results will be reported following the CONSORT-AI.

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Section: Introductionmentioning

confidence: 99%

Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study

et al. 2022

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Materials for root canal filling

Nicholson

Czarnecka²

2016

Materials for the Direct Restoration of Teeth

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Clinical validation of a nanodiamond-embedded thermoplastic biomaterial

Lee

Kee

Liang

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

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Detonation nanodiamonds (NDs) are promising drug delivery and imaging agents due to their uniquely faceted surfaces with diverse chemical groups, electrostatic properties, and biocompatibility. Based on the potential to harness ND properties to clinically address a broad range of disease indications, this work reports the in-human administration of NDs through the development of ND-embedded gutta percha (NDGP), a thermoplastic biomaterial that addresses reinfection and bone loss following root canal therapy (RCT). RCT served as the first clinical indication for NDs since the procedure sites involved nearby circulation, localized administration, and image-guided treatment progress monitoring, which are analogous to many clinical indications. This randomized, single-blind interventional treatment study evaluated NDGP equivalence with unmodified GP. This progress report assessed one control-arm and three treatment-arm patients. At 3-mo and 6-mo follow-up appointments, no adverse events were observed, and lesion healing was confirmed in the NDGP-treated patients. Therefore, this study is a foundation for the continued clinical translation of NDs and other nanomaterials for a broad spectrum of applications.

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Simultaneous Replacement of Maxillary Central Incisors with CEREC Biogeneric Reference Technique: A Case Report

Cited by 11 publications

References 26 publications

Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study

Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study

Materials for root canal filling

Clinical validation of a nanodiamond-embedded thermoplastic biomaterial

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