Artificial intelligence (AI) has gained significant attention in dentistry due to its potential to revolutionize practice and improve patient outcomes. However, dentists’ views and attitudes toward technology can affect the application of AI. This perception and attitude can be affected by the personality traits of individuals. This study aims to evaluate the perceptions and attitudes of dentistry students toward AI. This cross-sectional study was conducted on dental students at Ordu University Faculty of Dentistry, involving a sample of 83 students. The study utilized the Big Five 50 Test to evaluate personality traits and a 5-point Likert scale to gather data on 20 statements regarding AI in dentistry. Data were analyzed using IBM SPSS Statistics software, and a chi-square test was employed to assess the relationship between the personality traits of dental students and their attitudes towards artificial intelligence, as well as the relationship between the gender of dental students and their attitudes towards artificial intelligence. Statistical significance was set at P < 0.05. The study involved 83 participants, with 29 male and 54 female participants. The most common personality traits were Openness and Agreeableness, whereas the least common was Extraversion. Participants found AI useful and believed it could help dentists evaluate radiographs. However, the least agreed statement was that they would trust AI more than a dentist in evaluating radiograph results. A statistically significant difference was found between personal traits of dental students and in expressions comparing dentists and AI. Males were more familiar with AI than females. This study found that attitudes towards AI in dentistry vary based on personality traits. Developing educational strategies tailored to these traits can help foster more positive attitudes and improve AI integration into dental practice.

Background: This is the first study to report both cortical and trabecular bone evaluation of mandibles in bruxers, within the knowledge of the authors. The purpose of this study was to evaluate the effects of bruxism on both the cortical and the trabecular bone in antegonial and gonial regions of the mandible, which is the attachment of the masticatory muscles, by using panoramic radiographic images. Methods: In this study, the data of 65 bruxer (31 female, 34 male) and 71 non-bruxer (37 female, 34 male) young adult patients (20–30 years) were evaluated. Antegonial Notch Depth (AND), Antegonial-Index (AI), Gonial-Index, Fractal Dimension (FD) and Bone Peaks (BP) were evaluated on panoramic radiographic images. The effects of the bruxism, gender and side factors were investigated according to these findings. The statistical significance level was set atP ≤ 0.05. Results: The mean AND of bruxers (2.03 ± 0.91) was significantly higher than non-bruxers (1.57 ± 0.71; P < 0.001). The mean AND of males was significantly higher than females on both sides (P < 0.05). The mean AI of bruxers (2.95 ± 0.50) was significantly higher than non-bruxers (2.77 ± 0.43; P = 0.019). The mean FD on each side was significantly lower in bruxers than in non-bruxers (P < 0.05). The mean FD of males (1.39 ± 0.06) was significantly higher than females (1.37 ± 0.06; P = 0.049). BP were observed in 72.5% of bruxers and 27.5% of non-bruxers. The probability of existing BP, in bruxers was approximately 3.4 times higher than in non-bruxers (P = 0.003), in males was approximately 5.5 times higher than in females (P < 0.001). Conclusion: According to the findings of this study, the morphological differences seen in cortical and trabecular bone in the antegonial and gonial regions of the mandible in bruxers can be emphasized as deeper AND, higher AI, increased of existing BPs, and lower FD, respectively. The appearance of these morphological changes on radiographs may be useful for indication and follow-up of bruxism. Gender is an effective factor on AND, existing BP and FD.

This retrospective study evaluated alterations in trabecular bone structure after lateral window and transcrestal sinus floor elevation techniques using fractal analysis of panoramic radiographs, with a focus on comparing ossification patterns. This STROBE compliant retrospective radiographic cohort included 46 sinus lift procedures (transcrestal without graft: n = 21; lateral window with xenograft: n = 25) performed between 2020 and 2024. For each case, two panoramic radiographs were analyzed on the surgery week (T0) and at 6 months (T1) yielding 92 images. Regions of interest (30 × 30 px) were placed apical to the implant site. Images were pre-processed according to the White–Rudolph protocol, and fractal dimension (FD) was calculated in ImageJ using the box-counting method. Normality was confirmed; paired t-tests assessed within-group change and independent t-tests compared groups. Intra-rater reliability was evaluated using the intraclass correlation coefficient. In the transcrestal group, a significant increase in FD values was observed between T0 and T1 (p < 0.001). In contrast, the lateral window approach group showed a statistically significant decrease in FD values over time (p = 0.0032). The FD values in the lateral window approach group were significantly higher than in the transcrestal group at both T0 (p < 0.001) and T1 (p = 0.009). Fractal analysis demonstrated distinct bone remodeling patterns between transcrestal and lateral window sinus lifting techniques. In the transcrestal group, the natural healing process was characterized by more consistent increases in FD values, whereas xenograft-associated remodeling in the lateral window group was accompanied by a decline. These findings underscore the potential of fractal analysis as a non-invasive modality for monitoring bone quality following augmentation. Not applicable.

The aim of this study was to evaluate the trabecular structure of the alveolar bone in individuals with mandibular second premolar hypodontia using fractal

Aim: Panoramic radiography is frequently used in dental practice as an imaging technique that provides an extensive view of facial anatomical structures. Achieving high-quality radiographic images requires precise positioning and technique. This study aims to evaluate the quality of panoramic radiographs, to identify common errors that compromise diagnostic adequacy, and to analyze interobserver agreement levels concerning these errors. Material and Method: A study analyzed 947 panoramic radiographs from the archive of Ordu University based on nine specific error criteria. Four research assistants evaluated the diagnostic quality of each image, classifying them as “excellent,” “diagnostically acceptable,” or “unacceptable.” Inter-observer agreement was measured with kappa statistics, and overall agreement was evaluated using the Fleiss κ test. Results: The rate of incorrect radiographs was 66.1% to 78.8%, with the most common error criterion differing for each observer. The least common error was the chin tipped too low for observers 1 and 2, and the patient positioned forward for observers 3 and 4. The highest inter-observer agreement was observed regarding the presence of foreign objects on the radiographs, while the lowest agreement occurred in cases where the patient was positioned too far back. Overall, the diagnostic quality of the panoramic radiographs was rated as “acceptable,” with scores ranging from 60.5% to 69.5%. The Fleiss Kappa analysis indicated fair agreement among the four observers in assessing radiographic quality (k=0.252). Conclusion: This study demonstrates that errors in panoramic radiography significantly impact image quality and diagnostic accuracy, highlighting the need for standardization, the use of various imaging models, and enhanced training in radiographic education.