Inlay-retained dental bridges can be a viable minimally invasive alternative when patients reject the idea of implant therapy or conventional retained full-coverage fixed dental prostheses, which require more tooth preparation. Inlay-retained dental bridges are indicated in patients with good oral hygiene, low susceptibility to caries, and a minimum coronal tooth height of 5 mm. The present study aims to evaluate, through the finite element method (FEM), the stability of these types of dental bridges and the stresses on the supporting teeth, under the action of masticatory forces. The analysis revealed the distribution of the load on the bridge elements and on the retainers, highlighting the areas of maximum pressure. The results of our study demonstrate that the stress determined by the loading force cannot cause damage to the prosthetic device or to abutment teeth. Thus, it can be considered an optimal economical solution for treating class III Kennedy edentation in young patients or as a provisional pre-implant rehabilitation option. However, special attention must be paid to its design, especially in the connection area between the bridge elements, because the connectors and the retainers represent the weakest parts.

The surface condition of the materials involved in dentistry is significant for the subsequent operations that are applied in oral cavity. Samples of Co–Cr–W alloy, obtained through selective laser melting (SLM) 3D printing, with different surface states were analyzed. Surface analysis after the 3D printing process and sandblasting was realized from microstructural, chemical composition, profilometry, droplet adhesion, scratch test, and microhardness perspectives. The results presented a hardening process and a roughness modification following the sandblasting procedure, a better adhesion of the liquid droplets, the appearance of micro-cracks during the scratch test, and the oxidation of the sample after the 3D printing process and surface processing.

Background/Objectives: Digital prosthodontics increasingly utilize both additive (3D printing) and subtractive Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM), yet comprehensive comparisons remain limited. This scoping review evaluates their relative performance across prosthodontic applications. Methods: Systematic searches (PubMed, Scopus, Web of Science, Embase, 2015–2025) identified 28 studies (27 in vitro, 1 retrospective). Data were extracted on accuracy, efficiency, materials, and outcomes. Results: CAD/CAM milling demonstrated superior accuracy for fixed prostheses, with marginal gaps for milled zirconia (123.89 ± 56.89 µm), comparable to optimized 3D-printed interim crowns (123.87 ± 67.42 µm, p = 0.760). For removable prostheses, milled denture bases achieved a trueness of 65 ± 6 µm, while SLA-printed dentures post-processed at 40 °C for 30 min showed the lowest root mean square error (RMSE) (30 min/40 °C group). Three-dimensional printing excelled in material efficiency ( 30–40%) and complex geometries, such as hollow-pontic fixed dental prostheses (FDPs) (2.0 mm wall thickness reduced gaps by 33%). Build orientation (45° for crowns, 30–45° for veneers) and post-processing protocols significantly influenced accuracy. Milled resins exhibited superior color stability (ΔE00: 1.2 ± 0.3 vs. 3D-printed: 4.5 ± 1.1, p < 0.05), while 3D-printed Co-Cr frameworks (SLM) showed marginal fits of 8.4 ± 3.2 µm, surpassing milling (130.3 ± 13.8 µm). Digital workflows reduced chairside time by 29% (154.31 ± 13.19 min vs. 218.00 ± 20.75 min). All methods met clinical thresholds (<120 µm gaps). Conclusions: Milling remains preferred for high-precision fixed prostheses, while 3D printing offers advantages in material efficiency, complex designs, and removable applications. Critical gaps include long-term clinical data and standardized protocols. Future research should prioritize hybrid workflows, advanced materials, and AI-driven optimization to bridge technical and clinical gaps.

Zirconia’s superior mechanical properties and biocompatibility have made it a cornerstone of modern prosthodontics, yet achieving durable biomimetic bonding to tooth structure remains a challenge. This scoping review synthesizes evidence on bonding strategies for zirconia-based fixed dental prostheses (FDPs), evaluating surface treatments, cementation protocols, and long-term performance. Following PRISMA-ScR guidelines, 18 studies from PubMed, Scopus, Web of Science, and Embase were thoroughly analyzed. Key findings indicate that tribochemical silica coating (e.g., Rocatec™) combined with 10-methacryloyloxydecyl dihydrogen phosphate (MDP)-based primers (e.g., Panavia V5) is associated with the highest bond strengths (>40 MPa) and exceptional clinical survival rates (e.g., >95% at 15 years for resin-bonded FDPs). These combined mechanical–chemical strategies can be viewed as an attempt to create a biomimetic, hybrid interface akin to the natural enamel–dentin junction. Additively manufactured zirconia exhibits inferior bonding compared to milled counterparts, while ethyl cellulose coatings applied to the bonding surface effectively prevent contamination from saliva and moisture during intraoral try-in procedures. However, heterogeneous testing protocols and limited long-term clinical data highlight the need for standardized aging models and randomized trials. This review consolidates current evidence, offering clinically actionable recommendations through a biomimetic lens while identifying critical gaps for future research.

Background: Augmented reality (AR) is revolutionizing implant and tooth-supported prosthodontics (ITSP) through enhanced precision, workflow efficiency, and educational outcomes. This scoping review systematically evaluates AR’s clinical applications, educational impacts, and implementation challenges. Methods: Following PRISMA-ScR guidelines, comprehensive searches were conducted in PubMed, Scopus, Web of Science, and Embase (2015–2025) for peer-reviewed studies on AR in ITSP. Eighteen studies met inclusion criteria after dual independent screening. Data extraction focused on clinical outcomes, educational benefits, and technological limitations. Results: AR applications demonstrated: ITSP Practice: Submillimeter implant placement accuracy (0.42–0.69 mm entry deviation; p < 0.001 vs. freehand), 30% faster intraoral scanning (44 s vs. 63 s), and 37% reduction in preparation errors (p < 0.05); ITSP Education: 22–30% faster skill acquisition (p < 0.05) and 99% reduction in assessment time (10.5 s vs. 2 h/case). Key Gaps: Limited to two randomized controlled trials (RCTs), hardware costs ($3500–$10,000), and lack of standardized validation protocols. Conclusions: While AR significantly enhances ITSP precision and training efficiency, widespread adoption requires longitudinal clinical validation, cost-effectiveness analyses, and interoperable digital workflows.

Background/Objectives: Corrosion resistance of dental alloys, indicated by metal ion release, is a significant concern. The aim of this study was to investigate the impact of various sandblasting methods on the corrosion resistance of Co-Cr-W alloy samples in an artificial saliva solution. Materials and Methods: Co-Cr-W samples, obtained by additive manufacturing (selective laser melting) and subjected to different processes, were evaluated using electrochemical corrosion tests on potentiostat equipment in Carter–Brugirard artificial saliva. All measurements were conducted at a temperature of 37 °C. The morphology of the samples was analyzed using scanning electron microscopy to highlight changes in roughness and the effects of the electrolyte solution on the surface of the samples. Results: The corrosion current density values decreased as surface processing increased, dropping from an average of 38.5 μA/cm² in non-sandblasted samples (group A) to 0.74 μA/cm² in samples sandblasted with both Al₂O₃ and glass particles (group C), while the corrosion rate of group A (434.8 mm/year) was significantly higher than that of group C (8.08 mm/year). Conclusions: The results demonstrated different behaviors between sandblasted and non-sandblasted samples, which could be attributed to surface morphology differences influencing the corrosion process.