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The aim of this in vitro study was to evaluate the effect of sintering procedures on marginal discrepancies of fixed partial metal frameworks fabricated using different sintering-based computer-aided design and computer/aided manufacturing (CAD/CAM) techniques. MATERIALS AND METHODS. Forty resin die models of prepared premolar and molar abutment teeth were fabricated using a three-dimensional (3D) printer and divided into four groups (n = 10) according to the fabrication method of metal frameworks used: HM (via hard milling), SM (via soft metal milling), L25 (via direct metal laser melting [DMLM] with a 25 µm layer thickness), and L50 (via direct DMLM with a 50 µm layer thickness). After the metal frameworks were fabricated and cemented, five vertical marginal discrepancy measurements were recorded in each site (i.e., buccal, facing the pontic, lingual, and facing away from the pontic) of both abutment teeth under a stereomicroscope (×40). Data were statistically analyzed at a significance level of 0.05. RESULTS. No statistically significant differences (P>.05) were found among the four axial sites of metal frameworks fabricated by sintering-based CAD/CAM techniques. The HM and L25 groups showed significantly (P<.001) lower marginal discrepancy values than the SM and L50 groups. CONCLUSION. Marginal discrepancy in the sites facing the pontic was not influenced by the type of sintering procedure. All fabrication methods exhibited clinically acceptable results in terms of marginal discrepancies.

Increasing aesthetic preferences and technological changes in dentistry have been planned towards time, resulting in predictable, more aesthetic and more functional results. Firstly, the development of digital dentistry, especially the CAD/CAM systems, following these developments, the ability to make smile designs with the effect of digitalization in anterior restorations led to the emergence of reliable and more guaranteed restorations for both the patient, dentist and dental technician. This review summarizes the information and offers suggestions with features to be considered in digital smile design and digital smile design softwares.

For decades, conventional complete dentures (CD) have been a promising treatment for edentulous patients. The introduction of digital technology in CD fabrication streamlines and simplifies the treatment process and offers new and specific applications for the completely edentulous patients. Computer-aided design/computer-assisted manufactured (CAD/CAM) CD protocols can improve efficiency and offer specific applications in specific situations to improve patient care, satisfaction, and convenience. The aim of this review is to assess and evaluate the clinical outcomes and complication of CAD/CAM fabricated CD systems and to provide information about currently available systems for dental practitioners.

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Digital technology is broadly used in almost every part of medicine. As tools of digital technology, augmented reality and virtual reality have been adopted in all disciplines of dentistry and dental education. In particular, virtual articulators have allowed for a full analysis of occlusion with dental models that can simulate all mandibular movements in static and dynamic positions. When combined with additional software, virtual articulators can also enhance education and practice, allow for quicker and more precise individualized diagnoses and enable discussions of dental treatment planning options with patients during their first appointment. This article reviews the requirements for virtual articulators and occlusal recordings and assesses their advantages and disadvantages in various aspects.

One of the most important actors in the digitization process of our age has been the applications of artificial intelligence (AI). While the weak and strong AI sub-concepts and the different AI models within them are being utilized in many fields such as education, industry and medicine today, the interest of the dentistry field, which has started its integration into the digital world with CAD/CAM technology, in AI is increasing day by day. In different branches of dentistry; AI provides services to clinicians and researchers in many fields such as disease diagnosis, evaluation of the occurrence or recurrence of diseases such as oral cancer, and prediction of success in surgical and prosthetic treatments. In this article, studies in which AI models such as machine learning, convolutional neural network have found research and usage areas on the basis of different branches of dentistry are reviewed.