Purpose: To compare the performance of licensed dentists and two software versions (3.5 legacy and 4.0) of an artificial intelligence (AI)-based chatbot (ChatGPT) answering the exam for the 2022 Certification in Implant Dentistry of the European Association for Osseointegration (EAO). Materials and Methods: The 50 question, multiple-choice exam of the EAO for the 2022 Certification in Implant Dentistry was obtained. Three groups were created based on the individual or program answering the exam: licensed dentists (D group) and two software versions of an artificial intelligence (AI)-based chatbot (ChatGPT)—3.5 legacy (ChatGPT-3.5 group) and the 4.0 version (ChatGPT-4.0 group). The EAO provided the results of the 2022 examinees (D group). For the ChatGPT groups, the 50 multiple-choice questions were introduced into both ChatGBT versions, and the answers were recorded. Pearson correlation matrix was used to analyze the linear relationship among the subgroups. The inter- and intraoperator reliability was calculated using Cronbach’s alpha coefficient. One-way ANOVA and Tukey post-hoc tests were used to examine the data (α = .05). Results: ChatGPT was able to pass the exam for the 2022 Certification in Implant Dentistry of the EAO. Additionally, the software version of ChatGPT impacted the score obtained. The 4.0 version was able to not only pass the exam but also obtained a significantly higher score than the 3.5 version and licensed dentists completing the same exam. Conclusions: The AI-based chatbot tested was able to not only pass the exam but performed better than licensed dentists.

Purpose: To measure the influence of postpolymerization condition (dry or submerged in water) and time (2, 10, 20, and 40 minutes) on the accuracy of additively manufactured model material. Materials and methods: A bar standard tessellation language file was used to manufacture the resin specimens (E-Model Light, EnvisionTEC) using a 3D printer (Vida HD, EnvisionTEC). Two groups were created based on the postpolymerization condition: dry (D group) or submerged in water (W group). Each group was divided into four subgroups (D1 to D4 and W1 to W4) depending on the postpolymerizing time (2, 10, 20, and 40 minutes; n = 20 each; N = 160). The specimen dimensions were measured using a low-force digital caliper (Absolute Low Force Caliper Series 573, Mitutoyo). The volume was calculated: V = l × w × h. Shapiro-Wilk test revealed that the data were not normally distributed. Data were analyzed using Kruskal-Wallis and pairwise Mann-Whitney U tests (α = .05). Results: Significant differences in length, width, height, and volume values were found among the subgroups (P < .0018). In all groups, the width dimension (x-axis) presented the worst accuracy compared to height (z-axis) and length (y-axis) (P < .0018). The D2 and D4 subgroups obtained the closest dimensions to the virtual design; additionally, no significant differences were found between the two subgroups (P < .0018). Dry condition showed higher manufacturing accuracy compared to the water-submerged condition. In the water-submerged subgroups, the highest accuracy was obtained in the W2 and W4 subgroups (P < .0018). Conclusion: Postpolymerization conditions and time influenced the accuracy of the material tested. Dry postpolymerization condition with a time of 10 and 40 minutes obtained the highest accuracy.

A technique for virtually planning single implant by combining an intraoral digital scan, an opensource computer-aided design software program, bone sounding, and 2-dimensional radiographic imaging is described. The surgical implant guide is fabricated by using additive manufacturing technologies. Furthermore, the surgical implant guide positioned in the patient’s mouth is used to radiographically verify the estimated mesio-distal implant angulation before proceeding with the surgical intervention and modified, if necessary. When a cone bean computed tomography scan is not available, this technique eases implant planning procedures and minimize possible surgical complications.  Schlagwörter: Keywords: 3D printing; additive manufacturing; computer-aided design; surgical implant guide; computer-aided implant planning

Purpose: To evaluate the effect of polymerization unit, polishing, and coffee thermocycling on the color and translucency of additively manufactured polyurethane-based resins with different viscosities. In addition, their color behavior was compared with the color of the shade tab throughout the fabrication steps and aging. Materials and Methods: Disk-shaped specimens (Ø10 × 2 mm) were fabricated from polyurethane-based resins with different viscosities (Tera Harz TC-80DP and C&B permanent; n = 30 per material). Baseline color coordinates were measured after cleaning. The specimens in each resin group were divided into three subgroups (n = 10 per subgroup) to be polymerized with different polymerization units (Otoflash G171 [FLN], Wash and Cure 2.0 [CLED1], and P Cure [CLED2]), polished, and subjected to coffee thermocycling. Color coordinates were remeasured after each process. Color differences (ΔE00) and relative translucency parameter (RTP) values were calculated. Data were statistically analyzed (α = .05). Results: Time points and polymerization units affected the ΔE00 for each material (P ≤ .049). ΔE00 of each polymerization unit pair had significant differences within and among different time points within each material (P ≤ .024). ΔE00 (when compared with the shade tab) and RTP were mostly affected by polymerization units and time points within both materials (P ≤ .042). Conclusions: Tested polymerization units, polishing, and coffee thermocycling affected the color difference and translucency of tested resins. Color differences ranged from moderately unacceptable to extremely unacceptable, and the differences in translucency values mostly ranged from perceptible to unacceptable, according to previous thresholds. In addition, tested resin–polymerization unit pairs had unacceptable color differences when compared to the shade tab. CLED1 may enable higher color stability for tested resins. 

Purpose: To evaluate the flexural strength (FS) and microhardness of various CAD/CAM restorative materials intended for definitive use. The effect of hydrothermal aging on the mechanical properties of these materials was also investigated. Materials and Methods: A total of 210 bar-shaped specimens (17 × 4 × 1.5 mm ± 0.02 mm) were fabricated via either subtractive manufacturing (SM) methods—reinforced composite resin (SM-CR), polymer-infiltrated ceramic network (SM-PICN), fine-structured feldspathic ceramic (SMFC), nanographene-reinforced polymethyl methacrylate (PMMA; SM-GPMMA), PMMAbased resin (SM-PMMA)—or additive manufacturing (AM) methods with urethane acrylate–based resins (AM-UA1 and AM-UA2). Specimens were then divided into two subgroups (nonaged or hydrothermal aging; n = 15). A three-point flexural strength test was performed, and five specimens from the nonaged group were submitted to microhardness testing. Specimens were subjected to 10,000 thermal cycles, and the measurements were repeated. Results: Regardless of aging, SM-CR had the highest FS (P < .001), followed by SM-GPMMA (P ≤ .042). In nonaged groups, AM-UA2 had a lower FS than all other materials except SM-FC (P = 1.000). In hydrothermal aging groups, AM specimens had lower FS values than other materials, except SM-PMMA. With regard to microhardness, there was no significant difference found between any of the tested materials (P ≥ .945) in the nonaged and hydrothermal aging groups. Conclusions: The effect of hydrothermal aging on FS varied depending on the type of restorative material. Regardless of aging condition, SM-CR showed the highest FS values, whereas SM-FC had the highest microhardness. Hydrothermal aging had no significant influence on the microhardness of the tested materials.

Purpose: To measure the influence of postpolymerization condition (dry and water-submerged) and time (2, 10, 20, and 40 minutes) on the accuracy of additively manufactured model material. Materials and Methods: A bar standard tessellation language (STL) file was used to manufacture all the resin specimens using a 3D printer. Two groups (n = 80 each) were created based on postpolymerization condition: dry (D group) and water-submerged (W group). Each group was then divided into four subgroups (D1 to D4 and W1 to W4; n = 20 each), which were each assigned a postpolymerizing time (2, 10, 20, and 40 minutes). The specimens’ dimensions were measured using a low-force digital caliper. The volume was calculated as follows: V = l × w × h. Shapiro-Wilk test revealed that the data were not normally distributed. Data were analyzed using Kruskal-Wallis and pairwise Mann-Whitney U tests (α = .05). Results: Significant differences in length, width, height, and volume were found among the subgroups (P < .0018). In all groups, the width dimension (x-axis) presented less accuracy compared to height (z-axis) and length (y-axis) (P < .0018). The D2 and D4 subgroups obtained the closest dimensions to the virtual design, and there were no significant differences between these subgroups (P < .0018). The dry condition showed higher manufacturing accuracy than the water-submerged condition. In the water-submerged subgroups, the highest accuracy was obtained in the W2 and W4 subgroups (P < .0018). Conclusions: Postpolymerization condition and time influenced the accuracy of the material tested. The dry postpolymerization condition with times of 10 and 40 minutes obtained the highest accuracy.

Purpose: To compare the rest vertical dimension (RVD) and occlusal vertical dimension (OVD) measurements obtained using a facial scanner with conventional methods and to evaluate the influence of the file format on the accuracy of the digital calculations. Materials and methods: Participants (N = 30) received marks on the glabella (Gb), tip of the nose (TN), and pogonion (Pg). Interlandmark distances Gb-TN and TN-Pg in the OVD and RVD positions were recorded by two operators conventionally (manual group) and digitally (digital group). For the manual group, measurements were obtained using a caliper. For the digital group, 10 scans in each position were obtained using a facial scanner (Face Camera Pro, Bellus3D) and exported in tessellation with polygonal faces (OBJ) and standard tessellation language (STL) file formats. Digital measurements were performed using both facial scan file formats and a software (Matera 2.4, exocad). The interocclusal rest distance (IRD) and the intraclass correlation coefficient were calculated. Shapiro-Wilk test was used to determine normal distribution. An independent samples t test, one-way analysis of variance, and post hoc Tukey test were used for analyses (± = .05). Results: No significant differences were found between the manual and digital measurements using the OBJ files or digital measurements using the STL files (P > .05). The IRD ranged from 0.72 ± 0.48 mm to 5.00 ± 1.34 mm. The inter- and intra-operator reliability were significant (P < .001), with a Cronbach's alpha value ranging from .994 to .997. Conclusion: No difference was found between manual and digital measurements. A high measurement consistency was encountered for each operator and between the operators. The facial scan file format did not influence the digital measurements.

Ziel: Es wird eine Technik zum Merging von Intraoralscan und DVT für die Herstellung implantatgetragener Full-Arch-Brücken beschrieben. Ziel ist eine Verbesserung der Dimensionsgenauigkeit von Intraoralscans zahnloser Kiefer. Material und Methode: Zunächst werden zwei Datensätze gewonnen: ein Intraoralscan und eine DVT, die beide mit in gleichbleibender Position auf den Implantaten befestigten Scankörpern durchgeführt werden. Anschließend wird der Intraoralscan in mehrere Fragmente zerlegt und in neuer Ausrichtung wieder zusammengesetzt, wobei die Implantatpositionen der DVT als Referenz dienen. Ergebnisse: Die Technik liefert ein optimiertes digitales Modell mit korrekteren Implantatpositionen, das sich als Grundlage für die Herstellung von Full-arch-Brücken eignet. Schlussfolgerung: Die vorgeschlagene Methode kann mögliche intraorale Scanfehler minimieren und zuverlässigere digitale Abformungen für implantatgetragene Full-arch-Brücken liefern. Schlagwörter: Brücke, Dentalimplantate, Full-arch-Rehabilitation, spannungsfreie Passung, Intraoralscanner, IOS, DVT

Ziel: Dieser Fallbericht beschreibt einen digitalen Workflow für die prothetisch orientierte Behandlungsplanung, Implantatinsertion und Herstellung zweier verschraubter, implantatgetragener Full-arch-Brücken bei einem zahnlosen Patienten. Ziel der Kasuistik ist es, die digitalen Arbeitsschritte des Workflows, insbesondere die Scantechnik für die Erfassung der zentrischen Kondylenposition, anhand eines klinischen Falls zu zeigen und zu erläutern. Außerdem werden die Grenzen des Workflows diskutiert.Material und Methoden: Die statische computergestützte Implantation (static Computer-aided Implant Surgery, s-CAIS) wurde auf Basis einer digitalen Volumentomografie, eines Intraoralscans und eines digitalen Bissregistrats dreidimensional geplant. Mittels s-CAIS wurden vier Implantate im Unter- und sechs Implantate im Oberkiefer des unbezahnten Patienten platziert. Die definitiven Full-arch-Restaurationen aus monolithischem Zirkonoxid wurden in einem digitalen Workflow hergestellt, der die zuvor benutzte Röntgenschablone in modifizierter Form für die digitale Kieferrelationsbestimmung nutzte.Schlussfolgerungen: Die Entwicklung digitaler Methoden ermöglicht die Konstruktion, Verarbeitung und Herstellung implantatgetragener Full-arch-Versorgungen in einem chirurgischen, prothetischen und zahntechnischen Workflow auf Grundlage eines dreidimensionalen Backward-Planning. Anhand der digitalen prothetischen Aufstellung lassen sich mittels CAD/CAM-Technik intraorale Prototypen herstellen, die als Vorlage für die definitive monolithische Zirkonoxid-Suprastruktur dienen. Schlagwörter: Backward Planning, unbezahnt, implantatgetragen, Full-arch-Brücke, Oberkiefer, Unterkiefer, CAD/CAM, monolithisch, Zirkonoxid, Röntgenschablone