Dentigerous cyst (DCs) is the type of odontogenic cyst and is the one of the most common type of cyst occurring in the jaw. Dentigerous cyst is clinically asymptomatic and is found radiographically. It encloses the crown of impacted tooth. Histological evaluation is important in such cases as sometimes radiographically interpretated Dentigerous cyst is diagnosed as Unicystic ameloblastoma, dental follicle or an odontogenic keratocyst. In this case report, 18years old boy is reported with clinical diagnosis of pericoronitis and radiographic finding of Dentigerous cyst which on histopathological investigation revealed features of plexiform ameloblastoma on post-operative excisional biopsy.

Artificial intelligence (AI) has significantly impacted dentistry by enhancing diagnostic accuracy, treatment planning, and patient care across various specialties, including endodontics, radiology, and periodontology. This review synthesizes findings from five key studies examining AI applications in dentistry, focusing on convolutional neural networks (CNNs) and deep learning models.AI-assisted diagnostics have shown superior accuracy compared to traditional methods, with CNNs achieving up to 94% accuracy in detecting periapical lesions and surpassing human radiologists in specific diagnostic tasks. Additionally, AI-assisted caries detection improves tooth retention and reduces treatment costs, demonstrating its potential economic benefits. However, challenges such as data biases, ethical considerations, and regulatory barriers remain future research should focus on developing transparent AI models, standardizing datasets, and addressing cost-effectiveness concerns to enhance clinical integration. Methods: A comprehensive review of five peer-reviewed articles was conducted, highlighting AI applications in dentistry. The articles were selected based on relevance to diagnostic advancements, clinical decision-making, and patient outcomes. Key methodologies included CNN-based image analysis, deep learning applications for caries detection, and neural networks for treatment optimization. Results: AI applications in dentistry demonstrated superior diagnostic performance. CNNs achieved 94% accuracy in detecting periapical lesions and surpassed human radiologists in specific diagnostic tasks. AI-assisted caries detection improved tooth retention by 62.8 years on average, with cost savings of €378 per patient compared to traditional methods. In endodontics, AI accurately identified root fractures and predicted treatment outcomes with up to 95.6% accuracy. Despite these advancements, limitations such as data biases and interpretability of AI models were noted. Conclusion: AI holds transformative potential for modern dentistry by improving diagnostic precision and clinical efficiency. However, integrating AI into routine practice requires addressing data standardization, ethical frameworks, and regulatory barriers. Future research should focus on developing transparent AI models and exploring their cost-effectiveness and long-term impact on patient care.

Dental caries is the localized destruction of dental tissues by bacterial activity; the carious lesion is the result of demineralization of enamel-and later of dentine by acids produced by plaque microorganisms as they metabolize dietary carbohydrates. This study was conducted in two schools in Khartoum state, aimed to isolate and identify bacterial and fungal pathogens from dental caries infected school children. A total of 50 male students were enrolled in this study. The age ranging from 6 to 14 years, with mean of 10.9 + and 2.5 SD. (62%) of participants said they suffer from tooth pain and 19 (38%) of them visited the dentist before. According to eating habits majority of the students 48 (96°) drink milk, 47 (94%) eat sweets/candy, 38 (76%) eat crisps and 35 (70%) take soft drink. Samples were cultured and isolated bacterial and fungal pathogen were identified microscopically and by biochemical tests. Culture results were as follows: 41(82%) of samples showed bacterial and fungal growth, of those positive culture 34 (68%) showed bacterial growth, 1 (2%) fungal growth and 6 (12%) mixed growth (both bacterial and fungal). Streptococcus mutans 27(54%) was the predominant bacteria followed by Enterococcus faecalis 11(22%), Lactobacillus. spp 1(2%), and staphylococcus aureus 1(2%). Seven of the specimens (14%) showed growth of candida albicans. There was no statistically significant association between age/consumption of sweet food and microbial isolation. Significant association was detected between microbial growth and brush change (P. value = 0.041) but not with frequency of teeth brushing. In conclusion, Streptococcus mutans was the predominant bacterium isolated from caries lesions, followed by Enterococcus faecalis. The disease was mostly caused by bacteria, with only one type of fungus, Candida albicans, being isolated. No association was found between the microbial cultures and age, sugar intake, or oral hygiene. The frequency of brush change has significant association with microbial isolation.

There is a trio of behaviors in the first 1000 days of life & the relation of this trio in the formation of deciduous teeth. Technically, the first behavioral component is Early Initiation of Breast Feeding (EIBF) followed by Exclusive Breast Feeding (EBF) & the next is the Infant & Young Child Feeding (IYCF). One can surely ponder what role does the Colostrum rich milk has which only flows for the first five days of life has in the formation of deciduous teeth. The next question is to elicit the role of Mature Breast Milk (MBM) in the development of deciduous teeth. Finally, the question arises about the role of Complementary Feeding (CF) or IYCF has in the development of the deciduous teeth. This article focuses on the burden of the issue of deciduous teeth development through the above- mentioned indicators. Thereafter through literature reviews, it delineates the role of these trio behaviors. The article also delves into the literature regarding the deciduous teeth before entering the domain of the behavior trios. In nutshell, the trio of behaviors such as EIBF, EBF & IYCF in the first 1000 days life is the independent variable of this article & the development of deciduous teeth is the dependent variable. As these behaviors are proven & effective interventions/strategies, the linear correlation that emerges among both the variables is ‘behaviors like EIBF, EBF & IYCF positively impact the development of deciduous teeth’.

Bisection/bicuspidization is the separation of mesial and distal roots of mandibular molars along with its crown portion, where both segments are then retained individually. A multidisciplinary treatment procedure for such clinical situations that includes restorative dentistry, endodontics, periodontics, and prosthodontics is necessary to preserve the teeth in whole or in part. These teeth can act as independent single units of mastication or as abutments in simple fixed bridges. In this case report in contrast to the common option of extracting the natural tooth, an alternative treatment option is selected for molars with extensive decay that threatens tooth loss. Therefore, this option should be discussed with patients when deciding on a course of treatment, and it may be a good substitute for extraction and implant therapy, particularly in cases of advanced endo-perio lesions.