In vitro evaluation of periodontal defects with intraoral radiography and cone beam computed tomography. [PDF]
Bakkal R, Celenk P.
europepmc +1 more source
Abstract Background To assess clinical and anatomical risk indicators for mid‐buccal gingival recessions (GRs) in the mandibular anterior region using digital and tomographic tools. Methods A cross‐sectional study was conducted on 103 patients (618 teeth).
Gonzalo Blasi +5 more
wiley +1 more source
A phantom study on the evaluation of the YOLOv8 deep learning model in the detection of tooth ankylosis on cone-beam computed tomography images. [PDF]
Moshfeghi M +4 more
europepmc +1 more source
Abstract Background The aim of this study is to evaluate the impact of different implant materials and arrangements within the field of view (FOV) and exomass on the diagnostic accuracy and image quality of cone‐beam computed tomography (CBCT) for the detection of peri‐implant buccal bone defects of various sizes. Methods A total of 120 CBCT scans with
Yulan Wang +5 more
wiley +1 more source
Volumetric evaluation of the maxillary sinus using cone-beam computed tomography. [PDF]
Ozsoy SC +6 more
europepmc +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
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
Artificial Intelligence Versus Human Expertise in Implant Treatment Planning: A Retrospective Cone-Beam Computed Tomography-Based Comparative Study. [PDF]
Jadhav P +5 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
A comparison of dose between cone beam computed tomography and conventional computed tomography in broad beam geometry. [PDF]
Larsson J +3 more
europepmc +1 more source

