Objectives: This study aimed to compare the diagnostic accuracy of cone beam CT (CBCT) units with different voxel sizes with the digital intraoral scanning technique in terms of the detection of periodontal defects. Methods and materials: The study material comprised of 12 dry skulls with maxilla and mandible. Artificial defects were created on teeth separately using burs randomly on dry skulls. In total 46 dehiscences, 10 fenestrations, 17 furcations, 12 wall defects and 13 without periodontal defect were used in the study. Each tooth with and without defects was imaged at various vertical angles using each of the following modalities: a Veraviewepocs 3D R100 CBCT device and a 3D Shape TRIOSㄾ Color P13 Shade Intraoral Scanner. Results: The κ values for interobserver agreement between observers ranged between 0.29 and 0.86 for the CBCT 10 × 8 cm field of view (FOV) with 0,160 mm³ voxel size; 0.35 and 1 for the CBCT 8 × 8 cm FOV with 0,125 mm3 voxel size; and 0.30 and 1 of intraoral scans. The κ values for detecting defects on anterior teeth were the least, following premolar and molar teeth both CBCT and intraoral scanning. Conclusions: Smaller voxel sizes and smaller CBCT FOV has the highest sensitivity and diagnostic accuracy for detecting various periodontal defects among the scanner modalities examined. Advances in knowledge: Adequate evaluation of the condition of the alveolar bone and periodontal tissues is important for the diagnosis, treatment, and prognosis of periodontal disease. Limited examination methods, such as palpation, inspection, and periodontal probe examination, may provide insufficient information for the diagnosis of periodontal diseases.

The aim of this study is to evaluate and compare the accuracy of large language models (LLMs) such as ChatGPT-4, DeepSeek-R1, Google Gemini and Microsoft C

In recent years, the rapid developments in artificial intelligence have also influenced dental education. Large Language Models (LLMs) have become increasingly accessible through publicly available chatbots and are now being used in both medical and dental training. LLMs, which have attracted significant attention across various domains, are currently being utilized in medical and dental education.The aim of this study was to evaluate the accuracy and reliability of LLM-based chatbots using questions from the Dentistry Specialization Entrance Examination (DUS), which is administered in Türkiye to assess the knowledge level of dental graduates. A total of 208 multiple-choice DUS questions were answered by seven LLMs. Data were analyzed using descriptive and comparative statistical methods, and a significance level of p < 0.05 was applied. Among the evaluated models, ChatGPT 4.0 achieved the highest accuracy (91.3%), followed by Copilot (87%) and Gemini (86.1%). ChatGPT 4.0 performed significantly better than all other LLMs (p < 0.05). In the image-based questions, the strongest performers were ChatGPT 4.0, Gemini, and Copilot, each achieving an accuracy rate of 63.6%. Although LLMs contribute substantially to dental education, their accuracy limitations in specific domains indicate that they should be used as complementary tools rather than standalone decision-makers.

Objectives: This study aimed to evaluate the vertical and horizontal dimensions, shape, anatomical location of the infraorbital foramen (IOF) and the presence of accessory infraorbital foramen (AIOF) in adolescent and adult individuals using cone-beam computed tomography (CBCT). Additionally, it aimed to contribute to clinical applications and address the lack of data on the adolescent population in the literature. Materials and Methods: CBCT images of 1,000 patients who presented to the Department of Oral and Maxillofacial Radiology between 2021 and 2023 were retrospectively reviewed. A total of 315 individuals (193 males, 122 females) who met the inclusion criteria were included in the study. The dimensions of the IOF, its distances to adjacent anatomical landmarks, its shape, and the presence of AIOF were evaluated. Results: In this study, IOF dimensions were larger in males, with the horizontal width greater on the right and the vertical height greater on the left. The most common IOF shape was circular, and accessory foramina were present in 31.6% of individuals, more frequently in males on the right. A statistically significant variation in the distance between the IOF and the midline (IOF-ML) with respect to age was observed on the right. Conclusions: Detailed knowledge of the IOF’s location, shape, and variations is crucial for preventing complications during surgical procedures, particularly infraorbital nerve blocks. The dimensions of the infraorbital foramen and its distances to anatomical landmarks in adolescents are generally similar to those in the adult population.

Amaç: Korona Virus Hastalığı 2019 (COVID-19), Dünya Sağlık Örgütü (DSÖ) tarafından, tüm dünyadaki insanları etkileyen küresel bir halk sağlığı acil durumu olarak ilan edildi. Bu çalışmanın amacı, COVID-19 salgını sırasında diş hekimine başvuran hastaların COVID-19 hakkında bilgi ve endişelerini değerlendirmektir. Gereç ve Yöntemler: Temmuz-Ekim 2020 tarihleri arasında Zonguldak Bülent Ecevit Üniversitesi Diş Hekimliği fakültesine başvuran 400 hastaya, COVID-19 salgını ile ilgili anket yapıldı. Elde edilen verilerin istatistiksel anlamlılık farkını analiz etmek için ki-karetesti kullanıldı. P

Purpose: Determining the anatomical localization and variations of the mandibular canal is of great importance in determining the treatment method to be preferred during the treatment of the patient and having an idea before surgery for possible complications. In this study, it was aimed to evaluate the anatomy and variations of the mandibular canal using Cone Beam Computed Tomography(CBCT). Materials&Methods: CBCT images obtained from 300 jaws of 300 patients, 168 of whom were female and 132 male, were used. The examined mandibular canals were divided into four groups as retromolar, anterior canal, dental and buccolingual canals. Statistical analysis of the data was performed using descriptive statistics and chi-square tests. Results: Bifid duct was detected in 149(49.2%) of the patients, but trifid duct was not detected. 73 (48.99%) of bifid canals were detected on the right and 76 (50.01%) on the left. Considering the relationship between age and gender and the presence of mandibular canal variation, no statistically significant result was found according to the chi-square test.When the right-left distribution of the channel variations evaluated in the study was examined, no statistically significant relationship was observed.(p>0.005)(p=0.688) Conclusion: The prevalence of variation in the examined mandibular canals was found to be 49.66%. Anterior canal(35.6%) was most common, followed by retromolar canal(28.2%), dental canal(25.6%) and buccolingual canal(10.7%). According to the results obtained, the possibility of approximately 50 percent mandibular canal variation should be considered in prosthetic and surgical treatment interventions planned in the relevant regions.