دورية أكاديمية
Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study
| العنوان: | Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study |
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| المؤلفون: | Reinhard Chun Wang Chau, Ming Chong, Khaing Myat Thu, Nate Sing Po Chu, Mohamad Koohi-Moghadam, Richard Tai-Chiu Hsung, Colman McGrath, Walter Yu Hang Lam |
| المصدر: | PLoS ONE, Vol 17, Iss 6 (2022) |
| بيانات النشر: | Public Library of Science (PLoS), 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162350/?tool=EBI; https://doaj.org/toc/1932-6203 |
| URL الوصول: | https://doaj.org/article/e4dabdcbbbbd4df99f6f3f6e61feea37 |
| رقم الأكسشن: | edsdoj.4dabdcbbbbd4df99f6f3f6e61feea37 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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