The purpose of this study was to evaluate the performance of widely used artificial intelligence (AI) chatbots in answering prosthodontics questions from the Dentistry Specialization Residency Examination (DSRE). A total of 126 DSRE prosthodontics questions were divided into seven subtopics (dental morphology, materials science, fixed dentures, removable partial dentures, complete dentures, occlusion/temporomandibular joint, and dental implantology). Questions were translated into English by the authors, and this version of the questions were asked to five chatbots (ChatGPT-3.5, Gemini Advanced, Claude Pro, Microsoft Copilot, and Perplexity) within a 7-day period. Statistical analyses, including chi-square and z-tests, were performed to compare accuracy rates across the chatbots and subtopics at a significance level of 0.05. The overall accuracy rates for the chatbots were as follows: Copilot (73%), Gemini (63.5%), ChatGPT-3.5 (61.1%), Claude Pro (57.9%), and Perplexity (54.8%). Copilot significantly outperformed Perplexity (P = 0.035). However, no significant differences in accuracy were found across subtopics among chatbots. Questions on dental implantology had the highest accuracy rate (75%), while questions on removable partial dentures had the lowest (50.8%). Copilot showed the highest accuracy rate (73%), significantly outperforming Perplexity (54.8%). AI models demonstrate potential as educational support tools but currently face limitations in serving as reliable educational tools across all areas of prosthodontics. Future advancements in AI may lead to better integration and more effective use in dental education.

The purpose of this study was to evaluate the sorption, solubility, and color stability of amine-free conventional light-cure and dual-cure resin cements and an aminecontaining self-adhesive dual-cure resin cement. Sixty specimens were prepared using a light-cure resin cement (Variolink Esthetic LC, Ivoclar Vivadent; VE-LC), a dual-cure resin cement (Variolink Esthetic DC, Ivoclar Vivadent; VE-DC), and a self-adhesive dual-cure resin cement (RelyX U200, 3M ESPE; RXU200). The water sorption and solubility were tested by immersing the specimens in distilled water for 7 days. Kruskal-Wallis test was applied to the data. Delta E values of 1-day and 7-day immersion in black tea were analyzed using one-way analysis of variance followed by Tukey honest significant difference test (n = 10). There was no statistically significant difference among the groups in terms of sorption and solubility. The mean Delta E of RXU200 for the 0/1 and 0/7 days were found to be significantly lower than that of VE-LC and VE-DC (P < .05). Delta E values of the VE-LC and VE-DC groups did not reveal statistical difference. It should be taken into account that discoloration of resin cements remains a problem even with amine-free products.

Amaç: Bu çalışmanın amacı diş hekimliğinde dijitale doğru bir dönüşüm yaşanılan bu dönemde, dijital diş hekimliği hakkında YouTube™ videolarının içerik kalitesinin ve demografik özelliklerinin değerlendirilmesidir. Gereç ve Yöntemler: Google Trends internet sitesinde dijital diş hekimliği hakkında en çok arama yapılan terimin ‘dijital diş’ olduğu belirlendi. Bu anahtar kelime kullanılarak YouTube’da arama yapıldı ve en fazla görüntülenen 100 video içerisinden kriterleri karşılayan 54 video çalışmaya dahil edildi. Altı başlıktan oluşan bir kullanım kalitesi puan sistemi kullanılarak videolar içerik yönünden zayıf, orta ve iyi olarak sınıflandırıldı. Ayrıca "global kalite skalası" na göre de videolar değerlendirildi. İstatistiksel değerlendirme için verilere Kruskal-Wallis testi ile ikili karşılaştırmalar için Mann-Whitney U testi uygulandı (p < 0.05). Bulgular: Videoların çoğunlukla (% 38.88) diş hekimleri tarafından yüklendiği, % 37.03’ünün dental şirketler tarafından yüklendiği ve bunu TV kanalları tarafından yüklenen videoların takip ettiği (% 24.07) görüldü. Diş hekimi kaynaklı videoların istatistiksel olarak anlamlı şekilde daha fazla görüntülenme (p = 0.036) ve beğenilme sayısına (p = 0.015) sahip olduğu görüldü. Kullanım kalitesi bakımından videoların % 18.51’i içerik olarak iyi, % 44.44’ü orta, % 37.03’ü ise zayıf bulundu. Sonuç: YouTube video platformunda dijital diş hekimliği hakkındaki bilgilerin sınırlı olduğu görüldü. Bu alanda uzman diş hekimlerinin ve akademisyenlerin doğru bilgilerin paylaşılmasında daha fazla rol almasının yararlı olacağı düşünülmektedir.

Aim: The purpose of this study is to determine the thickness and limitation of the safe enamel for laminate veneers and orthodontic stripping applications. Enamel thickness (ET) was determined in detail for each tooth and also it was examined whether there was a relationship between the mesiodistal crown width of the teeth and the thickness of the enamel and whether there was a sexual dimorphism. Subjects and Methods: CBCT records of 101 subjects (mean age: 20.88 ± 2.48 years) were examined. ET was measured both mesial and distal region of maxillary and mandibular incisors, canines, and premolars in different levels as cervical, middle, and incisal (occlusal) 1/3. Paired t-test, student t-test, Mann-Whitney U-test and Pearson correlation coefficients a simple linear regression analysis used for statistical analysis. Results: ET of mandibular first premolars and canines was thicker at right side. Mesial enamel of maxillary first premolars, canines, lateral incisors and mandibular premolars and canines were significantly thicker than distal enamel. The mesial enamel of mandibular first premolars was significantly thicker in females. Also, males' maxillary laterals were significantly larger. All premolars had a correlation between mesio-distal crown widths and ET. Conclusions: Mesial and distal ET was unique for each one tooth at different levels. The relationship between ET and crown dimensions of all premolar teeth was also determined.