In recent years, the field of dentistry has witnessed remarkable technological advancements, one of which is the development and widespread implementation of intraoral scanners. These devices have revolutionized the way dental professionals capture accurate impressions of patients' oral cavities, offering several advantages over traditional impression-taking methods. To shed light on the impact of intraoral scanners on dentistry practice, this article explores their mechanism, uses, benefits, and limitations.
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http://dx.doi.org/10.4103/jpbs.jpbs_1299_23 | DOI Listing |
J Indian Prosthodont Soc
January 2025
Department of Epidemiology, College of Medicine, University of Cincinnati, Ohio, USA.
Aims: To compare the accuracy of marginal fit of CAD-CAM endocrown with two different preparation forms, i.e., endocrown with ferrule and endocrown without ferrule.
View Article and Find Full Text PDFTurk J Orthod
December 2024
Çanakkale Onsekiz Mart University Faculty of Dentistry, Department of Orthodontics, Çanakkale, Turkey.
Objective: This study aimed to compare the manufacturing accuracy of different printing techniques - Stereolithography (SLA), Digital Light Processing (DLP), and PolyJet-using digital dental models.
Methods: The study included cast models of 30 patients aged between 12 and 20 years. The selected models were scanned using an intraoral scanner, and surface topography format files were obtained.
Clin Oral Investig
January 2025
Center for Dental Medicine, Department of Operative Dentistry and Periodontology, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.
Objectives: The study aimed to assess the percent correct shade identification of four intraoral scanners (IOS) and a spectrophotometer, focusing on how reliably each device selects the correct tooth shade compared to a visual observer's selection. The research question addresses how much clinicians can trust the device-selected shade without visual verification.
Materials And Methods: Sixteen participants with natural, unrestored teeth were included.
J Dent
December 2024
OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium; Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden. Electronic address:
Objectives: To validate a novel artificial intelligence (AI)-based tool for automated tooth modelling by fusing cone beam computed tomography (CBCT)-derived roots with corresponding intraoral scanner (IOS)-derived crowns.
Methods: A retrospective dataset of 30 patients, comprising 30 CBCT scans and 55 IOS dental arches, was used to evaluate the fusion model at full arch and single tooth levels. AI-fused models were compared with CBCT tooth segmentation using point-to-point surface distances-reported as median surface distance (MSD), root mean square distance (RMSD), and Hausdorff distance (HD)- alongside visual assessments.
J Dent
December 2024
Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. Electronic address:
Objectives: To assess the degree of tooth wear in children and adolescents by application of a qualitative wear index and by quantitative measurement on digital models. The hypothesis was that the quantitative method would be sensitive to reliably measure tooth wear.
Methods: Existing digital models (n = 24) gathered from a prospective clinical study were analysed.
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