Results 111 to 120 of about 209,614 (261)
Aligner-induced tooth movements in three dimensions using clinical data of two patients [PDF]
The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with roots, the crowns' positions and orientations are measurable with intraoral scans, thus avoiding any X-ray dose.
arxiv
Bayesian Networks Analysis of Malocclusion Data [PDF]
In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start from a sample of 143 patients characterised through a series of a maximum of 21 different craniofacial features.
arxiv
Abstract Background With recent advances in artificial intelligence, the use of this technology has begun to facilitate comprehensive tissue evaluation and planning of interventions. This study aimed to assess different convolutional neural networks (CNN) in deep learning algorithms to detect keratinized gingiva based on intraoral photos and evaluate ...
Gokce Aykol‐Sahin+5 more
wiley +1 more source
The integration of haptic training into the QMUL dental curriculum
Abstract The Pandemic has challenged clinical dentistry globally with the dental education sector seeking alternative training environments. Virtual reality (VR) is gaining recognition as a valuable tool for training dental students and its use by dental schools around the world is growing.
Amitha Ranauta+2 more
wiley +1 more source
Objective: To investigate issues related to diagnosing malocclusions and patterns of interceptive and orthopedic treatments performed by Brazilian pediatric dentists.
Luciano Casagrande+3 more
doaj
Transformer-Based Tooth Alignment Prediction With Occlusion And Collision Constraints [PDF]
The planning of digital orthodontic treatment requires providing tooth alignment, which not only consumes a lot of time and labor to determine manually but also relays clinical experiences heavily. In this work, we proposed a lightweight tooth alignment neural network based on Swin-transformer.
arxiv
Abstract Background This study investigated the agreement among dentists in classifying gingival phenotype (GP) through periodontal probe visibility (PPV) assessment with various probe types and the visual method. Additionally, the relationship between GP classifications and gingival thickness (GT) was evaluated.
Burak Fatih Uysal+2 more
wiley +1 more source
Abstract Background This study investigated the effect of a 4‐week free‐sugar avoidance on periodontal parameters during periodontal therapy. Methods Twenty‐one patients with untreated periodontitis and daily free‐sugar intake were allocated to a sugar avoidance group (SAG) and a control group (CG).
Christina L. Pappe+7 more
wiley +1 more source
Abstract Background Advanced glycation end products (AGE) and their receptors (RAGE) have been implicated in developing periodontal complications in diabetic patients. This study aimed to identify salivary AGE, RAGE, soluble RAGE (sRAGE), and active‐matrix metalloproteinase‐8 (aMMP‐8) levels at varying glycemic levels in periodontitis patients ...
Julie Toby Thomas+7 more
wiley +1 more source
Sexual dimorphism in periodontal inflammation: A cross‐sectional study
Abstract Background The purpose of the present study was to evaluate the role of sexual dimorphism (SD) in the clinical manifestation of plaque‐induced periodontal inflammation by analyzing the association between patient‐related factors and the full‐mouth prevalence of bleeding on probing (BOP%) within 2 cohorts of male and female individuals ...
Roberto Farina+4 more
wiley +1 more source