Tissue Engineering for Periodontal Ligament Regeneration: Biomechanical Specifications [PDF]
Journal of Biomechanical Engineering, American Society of
Mechanical Engineers, 2021, 143 (3), 2020 The periodontal biomechanical environment is very difficult to investigate. By the complex geometry and composition of the periodontal ligament, its mechanical behavior is very dependent on the type of loading (compressive vs. tensile loading; static vs. cyclic loading; uniaxial vs.
arxiv +1 more source
A semi-parametric Bayesian model of inter- and intra-examiner agreement for periodontal probing depth [PDF]
Annals of Applied Statistics 2014, Vol. 8, No. 1, 331-351, 2014 Periodontal probing depth is a measure of periodontitis severity. We develop a Bayesian hierarchical model linking true pocket depth to both observed and recorded values of periodontal probing depth, while permitting correlation among measures obtained from the same mouth and between duplicate examiners' measures obtained at the same periodontal site ...
arxiv +1 more source
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images [PDF]
arXiv, 2021 Periodontitis is a biofilm-related chronic inflammatory disease characterized by gingivitis and bone loss in the teeth area. Approximately 61 million adults over 30 suffer from periodontitis (42.2%), with 7.8% having severe periodontitis in the United States.
arxiv
Periodontitis and preeclampsia in pregnancy: A systematic review and meta-analysis [PDF]
arXiv, 2021 Objectives: A conflicting body of evidence suggests localized periodontal inflammation to spread systemically during pregnancy inducing adverse pregnancy outcomes. This systematic review and meta-analysis aimed to specifically evaluate the relationship between periodontitis and preeclampsia.
arxiv
A latent factor model for spatial data with informative missingness [PDF]
Annals of Applied Statistics 2010, Vol. 4, No. 1, 439-459, 2010 A large amount of data is typically collected during a periodontal exam. Analyzing these data poses several challenges. Several types of measurements are taken at many locations throughout the mouth. These spatially-referenced data are a mix of binary and continuous responses, making joint modeling difficult.
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Unraveling the Link between Periodontitis and Inflammatory Bowel Disease: Challenges and Outlook [PDF]
arXiv, 2023 Periodontitis and Inflammatory Bowel Disease (IBD) are chronic inflammatory conditions, characterized by microbial dysbiosis and hyper-immunoinflammatory responses. Growing evidence suggest an interconnection between periodontitis and IBD, implying a shift from the traditional concept of independent diseases to a complex, reciprocal cycle.
arxiv
Numerical simulation of the stress-strain state of the dental system [PDF]
, 2015 We present mathematical models, computational algorithms and software, which can be used for prediction of results of prosthetic treatment. More interest issue is biomechanics of the periodontal complex because any prosthesis is accompanied by a risk of overloading the supporting elements.
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Use of the Deep Learning Approach to Measure Alveolar Bone Level [PDF]
arXiv, 2021 Abstract: Aim: The goal was to use a Deep Convolutional Neural Network to measure the radiographic alveolar bone level to aid periodontal diagnosis. Material and methods: A Deep Learning (DL) model was developed by integrating three segmentation networks (bone area, tooth, cementoenamel junction) and image analysis to measure the radiographic bone ...
arxiv
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression [PDF]
arXiv, 2023 This study aimed to utilize text processing and natural language processing (NLP) models to mine clinical notes for the diagnosis of periodontitis and to evaluate the performance of a named entity recognition (NER) model on different regular expression (RE) methods. Two complexity levels of RE methods were used to extract and generate the training data.
arxiv
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records [PDF]
arXiv, 2023 This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as to generate the seed and further fed to the RoBERTa model with the spaCy package.
arxiv