Results 91 to 100 of about 32,183 (264)
Dentists judge that the quality of dental treatment for each patient is very time-consuming and inefficient, lacks quantitative evaluation criteria, and is easy to cause errors.
Gang Peng, Jie Liu, Feng Yan, Beicun Liu
doaj +1 more source
Abstract Background The pathogenesis and etiology of peri‐implantitis demand a deeper understanding to lead to successful treatment modalities. Animal models of peri‐implantitis pathogenesis offer unique insights but their translational impact requires consideration of implant biomaterials science.
Georgios Kotsakis +15 more
wiley +1 more source
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics +8 more
wiley +1 more source
Functional tooth unit, periodontal status, and association with weight change in older adults
Abstract Background Literature reports that having fewer teeth is associated with reduced chewing capacity, which in turn may lead to weight changes due to diminished oral functionality. This study aims to assess the association between functional tooth units (FTU) and periodontal status and weight change among older adults participating in the Health,
Mariana S. Muñoz +6 more
wiley +1 more source
Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee +9 more
wiley +1 more source
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley +1 more source
Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
Use of ultrasonography in assessing peri‐implant osseous defects: An in vitro study
Abstract Background The purpose of this study is to investigate the feasibility and diagnostic accuracy of ultrasonography in peri‐implant defect identification and evaluation, and to compare ultrasonography (USG) with cone‐beam computed tomography (CBCT) in defect identification and evaluation in an in vitro model.
Melissa Rachel Fok +4 more
wiley +1 more source
Effect of Saliva pH on Shear Bond Strength of Orthodontic Brackets
Objectives: The purpose of this study was to evaluate the effect of salivary pH on the shear bond strength (SBS) of orthodontic brackets to tooth surface.
Mohammad Hossein Toodehzaeim +1 more
doaj
Assessment of using transfer learning with different classifiers in hypodontia diagnosis
Background Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis.
Tansel Uyar, Didem Sakaryalı Uyar
doaj +1 more source

