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Prosthodontics: Advanced Technologies, Materials and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Dentistry and Oral Sciences".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 587

Editor


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Guest Editor
Department of Removable Prosthodontics, School of Dental Medicine, University of Zagreb, 10000 Zagreb, Croatia
Interests: prosthodontics; digital dentistry; intraoral scanners; occlusal analysis; dental materials; implant prosthodontics; CAD/CAM technologies; clinical prosthodontics

Special Issue Information

Dear Colleagues,

Digital technologies are rapidly transforming contemporary prosthodontics by improving diagnostic accuracy, treatment planning, and manufacturing of dental restorations. The integration of intraoral scanning, CAD/CAM workflows, artificial intelligence, and advanced biomaterials has significantly expanded the possibilities for precision-driven prosthodontic rehabilitation.

Recent developments in digital impression systems, 3D printing, computer-aided design and manufacturing, and novel restorative materials are enabling clinicians to achieve improved treatment outcomes and workflow efficiency. At the same time, new research is needed to evaluate the accuracy, reliability, and clinical performance of these emerging technologies.

This Special Issue aims to present current advances in digital prosthodontics, focusing on innovative technologies, materials, and their clinical applications. Both experimental and clinical studies are welcome, as well as systematic reviews addressing digital workflows in prosthodontic treatment.

Topics of interest include, but are not limited to, the following: intraoral scanning technologies, digital occlusion analysis, CAD/CAM prosthodontics, 3D printing in dentistry, artificial intelligence in dental diagnostics, digital smile design, and novel prosthodontic materials.

Prof. Dr. Dubravka Knezović Zlatarić
Guest Editor

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Keywords

  • digital prosthodontics
  • intraoral scanners
  • CAD/CAM dentistry
  • 3D printing in dentistry
  • dental biomaterials
  • artificial intelligence in dentistry
  • digital occlusion analysis
  • implant prosthodontics
  • additive manufacturing
  • digital workflows in dentistry

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Published Papers (1 paper)

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Research

17 pages, 1461 KB  
Article
Surface-Based Trueness and Precision of Five Intraoral Scanners in Implant-Supported Digital Scanning Scenarios Using RMS Analysis
by Mahmoud M. M. Nosser, Artur İsmatullaev and Çise Özal
Appl. Sci. 2026, 16(13), 6334; https://doi.org/10.3390/app16136334 - 24 Jun 2026
Viewed by 339
Abstract
Accurate transfer of implant position is essential for implant-supported prosthodontic workflows. This in vitro study compared the trueness and precision of five intraoral scanners in single crown, three-unit fixed partial denture, and full-arch implant-supported scanning scenarios using root mean square (RMS) deviation analysis. [...] Read more.
Accurate transfer of implant position is essential for implant-supported prosthodontic workflows. This in vitro study compared the trueness and precision of five intraoral scanners in single crown, three-unit fixed partial denture, and full-arch implant-supported scanning scenarios using root mean square (RMS) deviation analysis. Two maxillary resin models, representing partially dentulous and fully edentulous conditions, were fabricated through a CAD/CAM and 3D-printing workflow with implant analogs and scan bodies. Reference datasets were obtained with an InEos X5 desktop scanner, and each intraoral scanner was used to perform 10 scans per scenario. After standardized scenario-specific trimming, datasets were analyzed in Geomagic Control X. Statistical analysis included two-way analysis of variance and follow-up one-way analysis of variance with Tukey post hoc comparisons using Bonferroni-adjusted thresholds. Trueness was affected by scanner type (p < 0.001) and scenario (p < 0.001), without interaction (p = 0.096). Precision was affected by scanner type (p = 0.012), scenario (p = 0.004), and their interaction (p < 0.001). iTero Lumina and Helios 600 showed lower trueness deviations, whereas Trios 5 showed greater deviations, especially in full-arch scans. Scanner selection and scan extent should therefore be considered when interpreting surface-based RMS accuracy in implant-supported digital scans. Full article
(This article belongs to the Special Issue Prosthodontics: Advanced Technologies, Materials and Applications)
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