Results 151 to 160 of about 41,818 (249)

Automatic identification of anatomical landmarks in three-dimensional computed tomography/cone-beam computed tomography: a scoping review. [PDF]

Front Dent Med
Wu Y, Zhai J, Wang Y, Zhang Y, Wang X, Wang C, Huang L, Jiang Y.   +7 more
europepmc   +1 more source

Immersive Technologies in Dental Education: Global Adoption Patterns From a 2025 Survey

Journal of Dental Education, EarlyView.
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, Reinhard Chun Wang Chau, Szabolcs Felszeghy, Mikko Liukkonen, Andreea Cristiana Didilescu, Damiano Pasqualini, Daniela Pino Valenzuela, David P. Rice, Gianrico Spagnuolo, Josette Camilleri, Khaled E. Ahmed, Laura Andriukaitiene, Łukasz Zadrożny, Masako Nagasawa, Mengwei Pang, Mohammed Al‐Haroni, Neshka Manchorova, Nisrine El Arrouf, Noha Waleed Barakat, Peter Lingström, Samantha J. Byrne, Santiago Arias‐Herrera, Ülle Voog‐Oras, Gitana Rederiene, Gül Gülsün, Rebecca Stolberg, Henry F. Duncan, Sompop Bencharit, Margaret Cox   +28 more
wiley   +1 more source

Dental Students’ Evaluation of Digital Versus Conventional Axiography Following a Structured Educational Course: A Prospective Educational Study

Journal of Dental Education, EarlyView.
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, Jérémy Mouchoux, Anja Quast, Philipp Meyer‐Marcotty, Bernhard Wiechens   +4 more
wiley   +1 more source

Deep learning-based detection of the second mesiobuccal canal in maxillary first molars using cone-beam computed tomography. [PDF]

BMC Oral Health
Lin J, Liu J, Jiang Y, Liu Y, Wen B, Li S, Li C.   +6 more
europepmc   +1 more source

Comparison of Spiral Computed Tomography and Cone-Beam Computed Tomography

Journal of Indian Academy of Oral Medicine and Radiology, 2013
Alexander Maninagat Luke, Krishna Prasad Shetty, S V Satish, Krishnarao Kilaru   +3 more
doaj  

Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach. [PDF]

Clin Exp Dent Res
Madani Z, Fakhar HB.
europepmc   +1 more source

3D‐Printed Sinus Lift Training Models as an Educational Tool for Dental Students

Journal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives The aim of this study was to evaluate whether 3D‐printed models can be an inexpensive and suitable way to train dental students to perform a sinus lift. Methods The sinus lift model was created using CAD/CAM technology. Approximately one year prior to their final examination, thirty‐one dental students evaluated and tested ...
Linda Daume, Lauren Bohner, Marcel Hanisch, Markus Dekiff, Dieter Dirksen   +4 more
wiley   +1 more source

Morphometric analysis of the mandibular incisive canal using cone beam computed tomography images. [PDF]

Head Face Med
Safi Y, Azizi Z, Rahimian S, Dehghanian T, Heydarzadeh B.   +4 more
europepmc   +1 more source

An Exploratory Comparative Analysis of Mixed Reality Simulation Versus 3D‐Printed Models for Undergraduate Training in Third Molar Removal

Journal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives To compare the effectiveness of MR simulation and 3D‐printed models in training undergraduate students in wisdom tooth removal, and to assess students’ perceptions of the MR simulator. Methods Students trained first on either the MR simulator or 3D‐printed plastic models and then repeated the training using the other method ...
Ruza Bjelovucic, Bruna Neves de Freitas, Sven Erik Nørholt, Pankaj Taneja, Jan Wolff, Ruben Pauwels   +5 more
wiley   +1 more source

Precision mapping of mandibular canal dimensions: cone beam computed tomography insights. [PDF]

PeerJ
Elboraey MO, Essa EESF, Fayad MI, Alolayan AB, Kabli AM, Alqhtani A, Elhelbawy NG, Ibrahim TM.   +7 more
europepmc   +1 more source