This in vitro research aimed to evaluate the Tensile Bond Strength of Poly Ether Ether Ketone and Zirconia copings using resin cement with or without Visio.link adhesive. From commercially available Zirconia and PEEK, blocks were machined milled using (CAD)/(CAM) to obtain 20 Zirconia and 20 PEEK copings. These specimens were sandblasted using 110 μm of alumina. The two main groups (20 Zirconia and 20 PEEK copings) were divided further into 4 subgroups, GROUP 1 (n = 10) PEEK substructure with self-adhesive resin cement without pretreatment, and GROUP 2 (n = 10) PEEK substructure with self-adhesive resin cement pre-treated with Visio.link adhesive. GROUP 3 (n = 10) Zirconia copings with self-adhesive resin cement without pretreatment. GROUP 4 (n = 10) Zirconia copings with self-adhesive resin cement pre-treated with Visio.link adhesive. Universal testing machine was used to evaluate the tensile bond strength of these copings. The results were analyzed using SPSS software Version 25.0 (SPSS Inc., Chicago, IL, USA). One-way ANOVA and independent t-test were used to compare the mean scores. Statistically significant increase was observed in Tensile Bond Strength of samples when Visio.link adhesive was used. Tensile Bond Strength of PEEK copings and Zirconia copings with Visio.link adhesive is considerably greater than PEEK copings and Zirconia copings without adhesive. The mean Tensile Bond Strength of Zirconia (with or without adhesive) is less as compared to Tensile Bond Strength of PEEK (with or without adhesive), but the difference is not statistically significant.

The purpose of the study was to evaluate the clinical endodontic diagnostic skills amongst undergraduate dental students at pre-clinical and clinical levels at Cardiff University School of Dentistry. An online questionnaire containing eight questions about endodontic diagnosis and hypothetical clinical scenarios was sent to all year 3rd, 4th, and 5th-year undergraduate dental students who were divided into G1, G2, and G3 groups. The data were analysed descriptively and reported in percentages. Around 121 students out of 226 responded to the questionnaire with a response rate of 53.5%. The overall correct response from G1 (3rd year) was 31.6% to 65.8%, G2 (4th year) was 73% to 93%, and G3 (5th year) was 73.2% to 92.7%. The study concludes that the 4th and 5th-year undergraduate dental students’ responses to the hypothetical clinical scenarios were higher than the 3rd-year students. However, regarding questions about the endodontic diagnosis, the percentages of correct answers were similar among all the 3rd, 4th, and 5th-year students. Therefore, further studies assessing endodontic diagnostic skills amongst the same cohort of students during their progression in the undergraduate course are recommended.

This study aims to assess the perceptions and knowledge of undergraduate dental students about artificial intelligence (AI) in dental schools through a cross-sectional study. This was a multicenter, cross-sectional study. Participant recruitment was achieved by sending an online questionnaire to the undergraduate students at the assigned universities. The questionnaire consisted of two parts. The first seven questions record general information about participants and their perceptions of AI. The remaining questions are about the knowledge of participants about the applications of AI. The data were analyzed using SPSS version 26. About 165 undergraduate students from 20 universities related to the dental sciences responded to the questionnaire. And 80.6% of participants found the use of AI in dentistry exciting. I have a basic knowledge of the working principles of AI. About 80.6% of participants believe that applications of AI should be part of undergraduate dental training. And 66.6% of students are aware of the opportunities and threats that AI can create. The results show that 75% of the students indicated that they got their information about AI through social media. Regarding the association of years of studies with AI applications used in periodontics, the knowledge about AI applications in "aggressive periodontics," "compromised teeth," and "success in rate of dental implant" was significantly higher in senior students than junior students (p < 0.05). Concerning applications of AI used in restorative dentistry and prosthodontics, only "computer color matching," "tooth surface losses," and "I do not know" showed statistical significance (p < 0.05) with the year of study of participants. Senior students show significantly better knowledge in "success in retreatment" and "working length determinant." Although undergraduates are enthusiastic about AI and aware of its threats and benefits, their knowledge is limited. In addition, undergraduate programs must exert more effort to prepare students for the era of AI. How to cite this article: Aldowah O, Almakrami A, Alghuwaynim Y, et al. Perceptions and Knowledge of Undergraduate Dental Students about Artificial Intelligence in Dental Schools: A Cross-sectional Study. J Contemp Dent Pract 2024;25(2):148-155.

Background: Dental casts made utilising digital workflow are becoming more common because to their speed and cost savings. However, studies on their dimensional accuracy over time with diverse designs are missing. Objective: The aim of this in vitro study was to assess the dimensional stability of 3D-printed edentulous and fully dentate hollowed maxillary models with 50-micrometer resolution over 1 day, 14 days, and 28 days using surface matching software. Methods: Scanned edentulous and fully dentate maxillary typodont models were used as references. The models were scanned by a desktop lab scanner of 15-micrometer accuracy (D900, 3Shape). Then, the files were used in designing software (Meshmixer, Autodesk) to create hollowed maxillary casts. Fifteen edentulous and 15 fully dentate (total of 30) models were printed using a DLP lab printer (Cara print 4.0, Kulzer). The 3D-printed models were scanned using the same desktop lab scanner of 15-micrometer accuracy at intervals of baseline days, 1 day, 14 days, and 28 days to assess the effect of aging (n = 120). The dimensional changes were quantified and compared using the root mean square (RMS) method, expressed in micrometres (µm). The study employed repeated measures analysis of variance (ANOVA) to assess and compare the root mean square (RMS) values across the variables. The data was analysed using SPSS (26, Chicago, Illinois, USA). Results: The RMS of the edentulous models rapidly increased from a mean value of 0.257 at the beginning of the study to 0.384 after twenty-eight days. However, the mean RMS values for the dentate models did not change much over the four intervals. It varied only from 0.355 to 0.347. The mean values for edentulous patients increased from 0.014 to 0.029 during the period from baseline to twenty-eight days. However, the mean average values decreased for the dentate models from 0.033 to 0.014 during this period. By utilizing ANOVA, mean RMS values increased insignificantly till one day but significantly to fourteen and twenty-eight days. Dentate model mean values differed insignificantly across four intervals. Repeated measures ANOVA for combined and separated data showed no significant differences across edentulous, dentate, and total models over times. Conclusion: The study revealed changes in the dimensions of 3D-printed edentulous models over a span of 3 and 4 weeks. Caution should be applied when using 3D-printed dental master models for constructing definitive prostheses on edentulous models over a period of 3 to 4 weeks.

Background: The role of endogenous Matrix Metallo Proteinases in resin dentin bond deterioration over time has been well documented. The present study aimed to systematically review the literature; in vitro and ex vivo studies that assessed the outcomes of natural cross-linkers for immediate and long-term tensile bond strength were included. Methods: The manuscript search was carried out in six electronic databases—PubMed/MEDLINE, LILACS, SciELO, Cochrane, Web of Science and DOAJ, without publication year limits. Only manuscripts in English (including the translated articles) were selected, and the last search was performed in December 2020. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was followed. Results: From the 128 potentially eligible studies, 48 full-text articles were assessed for eligibility. After eligibility assessment and exclusions, 14 studies were considered for systematic review and seven studies for meta-analysis. Amongst the selected studies for meta-analysis, three had a medium and four had a low risk of bias. Conclusions: It was evidenced by the available data that Proanthocyanidin is the most efficient natural cross-linker to date, in preserving the bond strength even after ageing.

Background and Objectives: The aim of this study was to study the prevalence of ocular findings in patients with orbital fractures in a tertiary center in Saudi Arabia. Materials and methods: A cross-sectional observational study was performed. The participants were patients who presented with orbital trauma to the emergency department of King Saud Medical City (Riyadh, Saudi Arabia). Subjects included those diagnosed with isolated orbital fracture using clinical evaluation and CT examination. We performed direct evaluation of ocular findings for all patients. Variables studied included age, gender, site of ocular fracture, cause of trauma, side of fracture, and ocular findings. Results: In total, 74 patients with orbital fractures were included in this study (n = 74). Of the 74 patients, 69 (93.2%) were males and only 5 patients (6.8%) were females. The age range was 8-70 years, with a median age of 27 years. The 27.5–32.6-year age group was the most affected (95.0%). The left orbital bone was involved in the majority of bone fractures 48 (64.9%). The orbital floor (n = 52, 41.9%) and lateral wall (n = 31, 25.0%) were the most prevalent sites of bone fracture among the study patients. Road traffic accidents (RTAs) were the most common causes (64.9%) of orbital fractures, followed by assaults (16.2%) and then sports injuries and falls (9.5% and 8.1%, respectively). Animal attacks were the least cause of trauma (only 1 patient, 1.4%). The occurrence of ocular findings, either alone or in combination, showed that subconjunctival hemorrhage had the highest percentage (52.0%), followed by edema (17.6%) and ecchymosis (13.6%). A statistically significant correlation was reported between the site of bone fracture and orbital findings, with r = 0.251 * and p < 0.05. Conclusions: Subconjunctival bleeding, edema, and ecchymosis were the most frequent ocular abnormalities, in that order. There were a few instances of diplopia, exophthalmos, and paresthesia. Other ocular discoveries were incredibly uncommon. The location of bone fractures was found to be significantly correlated with ocular results.