Results 221 to 230 of about 57,496 (297)
Use of Cone Beam Computed Tomography in Endodontics
William C. Scarfe +3 more
doaj +1 more source
Deep learning-assisted creation of a large-scale cone beam computed tomography dataset for the segmentation of impacted mandibular third molar. [PDF]
Niu C +8 more
europepmc +1 more source
Abstract Background Alveolar ridge resorption (ARP) is a well‐recognized consequence of tooth extraction, and multiple adjacent extractions may lead to greater ridge reduction than single‐tooth extractions. This multicenter randomized controlled trial aimed to assess ridge remodeling after removing 2 adjacent teeth and whether socket grafting with ...
Denis Cecchinato +6 more
wiley +1 more source
Anatomical Predictors of Second Molar External Root Resorption: A Cone-Beam Computed Tomography Study of Impacted Third Molars. [PDF]
Wang M +6 more
europepmc +1 more source
Abstract Background This randomized controlled trial aims to evaluate alveolar ridge preservation (ARP) with or without a biologically active amnion–chorion membrane (BACM). Methods Thirty patients requiring tooth extraction in the esthetic zone were randomly assigned to 2 groups.
Magdalena Orlowska +8 more
wiley +1 more source
Absence of the Periodontal Space in Impacted Third Molars: A Cross-Sectional Study Using Cone Beam Computed Tomography. [PDF]
Sancho Davila-Moreno CC +4 more
europepmc +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
Crown morphology and additional canals in mandibular incisors using cone-beam computed tomography: A geometric morphometric study. [PDF]
Pradeep A +6 more
europepmc +1 more source
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko +2 more
wiley +1 more source

