Introduction: Cone-beam computed tomography (CBCT) is a valuable tool in endodontics, particularly for assessing root morphology. Aim: To understand the importance of root morphology in endodontic treatment. Methodology: A comprehensive search of various databases was performed, and 804 studies were identified. After evaluating the studies using the inclusion criteria and eliminating duplicates, 12 articles were included in this review. Results: CBCT assessment demonstrated a high prevalence of single canals in maxillary incisors, varying root configurations in maxillary first premolars, and diverse anatomical distributions in mandibular molars, such as C-shaped canals, more commonly observed in women. Conclusion: The findings from this review concluded that CBCT is a valuable tool for the diagnosis and treatment of root canal anomalies in endodontics.

In current clinical dental practice radiographic imaging plays a major role in exploring the relationship between the maxillary sinus floor (MSF) and maxillary posterior teeth root apices, especially when there is an involvement of pathology in the periapical area that may lead to infectious, inflammatory or traumatic changes in the maxillary sinus (MS). It is also essential for exact implant placement, and therapeutic and surgical plans. The prevalence of different forms of anatomic relationship of the MSF to posterior root apices from one population to another is large. Hence the current research was conceived to evaluate the horizontal and vertical relationship forms of posterior root apices to the MSF in the Al-Qassim population of Saudi Arabia using Cone Beam Computed Tomography (CBCT). To conduct the study, a total of 200 patients' data (100 male and 100 female) were taken from the archives. The linear distances of the root apices to the MSF were measured for maxillary posterior teeth. On cross-sectional CBCT images, the Kwak et al. criteria were used to assess the horizontal and vertical relationships between the root apices of maxillary posterior teeth and the MSF. The mean distance between the apices of the maxillary second premolar ranged from 4.63 mm to 6.49 mm. The mean value of the distance between the apices of the posterior teeth and the MSF had a range of 0.68 ± 0.39 mm on the disto-buccal root (DBR) of the maxillary right second molar to 3.93 ± 1.26 mm on the palatal root (PR) of the maxillary left first molar. A similar result was observed in the maxillary second molar DBR in the male group (0.68 ± 1.17 mm) and the female group (0.69 ± 1.17 mm). The most frequently observed vertical relations were type 2 and type 2H horizontal relations. This study concludes that maxillary molar roots show greater proximity with the MSF when compared with premolars, and that the type 2 vertical and type 2H horizontal distribution suggests that the anatomy of each tooth and the maxillary sinus floor should be evaluated by CBCT prior to treatment planning.

To investigate the prevalence of impostor phenomenon (IP) among undergraduate dental students and explore its relationship with gender and academic year. This study involved observational cross-sectional research involving undergraduate dental students (first to fifth year) at Qassim University Dental School, between February and April 2021. An electronically administered, 20-item pre-validated Clance Impostor Phenomenon Scale (CIPS) was used for data collection. Data analysis was performed using SPSS version 23. Mean IP scores of both genders were compared using t-tests, one-way ANOVA and Post-Hoc tests to establish the relationship between year-wise IP scores. The response rate was 80.59% (162 respondents). The results indicated that 8.8% of the participants had mild IP experiences, 84.1% had moderate to severe IP experiences, and 7.05% exhibited intense IP experiences. The mean IP score was highest and lowest in the third and fourth-year dental students, respectively. A statistically significant relationship was identified between year wise IP scores, while no significant difference was observed based on gender. Impostor phenomenon is prevalent in substantial frequencies amongst dental students. This may have damaging physical and mental effects with negative consequences and could subsequently affect their intellectual and professional developments. The implementation of a modified curriculum and self-development plans are some of the recommended solutions.

Virtual Reality (VR) technology has demonstrated a promising prospect for enhancing endodontic learning in undergraduate dental students by boosting their procedural skills, accuracy, and confidence. To systematically evaluate the effectiveness of virtual reality (VR) simulation in endodontic education among undergraduate dental students, with a specific focus on four key outcomes: procedural accuracy, enhancement of student confidence, reduction in procedural errors, and overall learner satisfaction. An exhaustive literature search was carried out in December 2024 in PubMed, Cochrane Library, Embase, Scopus, and ClinicalTrials.gov. Randomized controlled trials (RCTs), quasi-experimental studies, and cross-sectional studies published between 2010 and 2024 were included in the review. Risk of bias was appraised as follows: Cochrane Risk of Bias 2.0 (RoB2) tool for RCTs; Newcastle-Ottawa Quality Assessment Scale adapted for cross-sectional studies; National Institute of Health (NIH) Quality Assessment Tool for before-and-after studies; and the Methodological Index for Non-Randomized Studies (MINORS) tool for non-randomized studies without a comparator group. Fifteen studies were included in the final analysis. VR-based training showed statistically significant differences between the pre and post-test scores regarding procedural accuracy and efficiency for tasks at the end of endodontics. These results showed that VR training leads to greater confidence and skill levels in students than traditional approaches, improved retention of knowledge, and a reduction in errors. Advantages notwithstanding, limitations around cost and accessibility were observed. VR simulation is an effective, valuable tool in the endodontic education toolbox. Further studies should assess cost-effectiveness and long-term clinical performance effects.

To understand the role of Artificial intelligence (AI) in oral radiology and its applications. Over the last two decades, the field of AI has undergone phenomenal progression and expansion. Artificial intelligence applications have taken up new roles in dentistry like digitized data acquisition and machine learning and diagnostic applications. All research papers outlining the population, intervention, control, and outcomes (PICO) questions were searched for in PubMed, ERIC, Embase, CINAHL, database from the last 10 years on first January 2023. Two authors independently reviewed the titles and abstracts of the selected studies, and any discrepancy between the two review authors was handled by a third reviewer. Two independent investigators evaluated all the included studies for the quality assessment using the modified tool for the quality assessment of diagnostic accuracy studies (QUADAS- 2). After the removal of duplicates and screening of titles and abstracts, 18 full texts were agreed upon for further evaluation, of which 14 that met the inclusion criteria were included in this review. The application of artificial intelligence models has primarily been reported on osteoporosis diagnosis, classification/segmentation of maxillofacial cysts and/or tumors, and alveolar bone resorption. Overall study quality was deemed to be high for two (14%) studies, moderate for six (43%) studies, and low for another six (43%) studies. The use of AI for patient diagnosis and clinical decision-making can be accomplished with relative ease, and the technology should be regarded as a reliable modality for potential future applications in oral diagnosis.

Analyzing the anatomical and morphometric information of the hard palate is crucial in prosthodontics, orthodontics, maxillofacial surgery, implant dentistry, and forensic anthropology. No data exist in the literature regarding the morphometric analysis of the hard palate using 3D imaging techniques in Saudi Arabia. Therefore, this study aimed to evaluate the dimensions and types of hard palates using 3D geometric morphometrics and the existence of gender-related differences in a selected Saudi population. This cross-sectional study was performed by radiological evaluation of arbitrarily collected Cone Beam computed Tomography (CBCT) images includes 130 male and 45 female individuals from our department’s archives, radiology department, Dental Hospital, Qassim University. The Galileos® Comfort Plus System (Sirona 3D, Germany) was used to obtain the CBCT images while standardizing the parameters. Images were linearly measured using Galileos software. Measurements of palatal length, palatal breadth, and palatal height, as well as the calculation of the palatine index and palatal height index, were noted and statistically analyzed. The mean palatal length, breadth, height, palatine index, and height index were 48.8 ± 3.9 mm, 36.2 ± 3.8 mm, 11.6 ± 2.4 mm, 74.7 ± 8.9, and 32.4 ± 7.1, respectively. The mean palatal length, breadth, and height were greater in men than in women. The majority of the palatine index values corresponded to leptostaphyline (76.6%), followed by mesostaphylline (12%) and brachystaphylline (11.4%), distribution among males and females were not statistical significance (p > 0.05). Palatal height index analysis revealed that the majority were orthostaphyline (59.4%), followed by chamestaphyline (26.3%), and hypsistaphyline (14.3%) these distributions were not significant statistically among males and females(p > 0.05). The palatine index and palatine height index are useful in prosthodontics, orthodontics, and forensic anthropology for identifying races on the basis of the skull.