Cone beam computed tomography vs. Periapical Radiograph: Diagnostic accuracy in endo and periodontal lesions. [PDF]
Piecha MCR +4 more
europepmc +1 more source
Validation of Virtual Reality Simulations for Anatomical Landmarks in Panoramic Radiographs
ABSTRACT Objective This study assessed the validity of panoramic anatomical virtual reality (VR) software among senior dental students. Materials and Methods A total of 79 fourth‐year dental students were randomly divided into two groups in this crossover study. Students’ knowledge of panoramic anatomical landmarks was tested.
Daniah M. Alhazmi +4 more
wiley +1 more source
Investigation of Voids in the Apical Plug of MTA Using Cone-Beam Computed Tomography, Digital Radiography, and Analog Radiography. [PDF]
Eskandarinezhad M +5 more
europepmc +1 more source
Immersive Technologies in Dental Education: Global Adoption Patterns From a 2025 Survey
ABSTRACT Purpose/Objectives Dental education is undergoing a digital transformation, yet the adoption of immersive technologies such as haptic virtual reality (HVR) remains limited. This study aimed to map global adoption trends, barriers, and opportunities for equitable integration of HVR in dental curricula.
Barry Quinn +28 more
wiley +1 more source
Comparison of Spiral Computed Tomography and Cone-Beam Computed Tomography
Alexander Maninagat Luke +3 more
doaj
Cone-beam computed tomography analysis of maxillary premolar canal anatomy: Ahmed's versus Vertucci's classifications in a Jordanian cohort. [PDF]
Ba-Hattab R +3 more
europepmc +1 more source
ABSTRACT Aim The aim of this study was to compare dental students’ subjective user experience of digital versus conventional axiography following structured teaching interventions, using the User Experience Questionnaire (UEQ). Methods A total of 47 dental students (26.37 ± 3.81 years; 33 female) participated in a standardized seminar consisting of ...
Lisa‐Marie Mai +4 more
wiley +1 more source
Automated Identification of Accessory Mental Foramen Using Cone-Beam Computed Tomography and Convolutional Neural Networks. [PDF]
Ovuz Z, Gursu Sahin E, Etem T.
europepmc +1 more source

