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Context: Cigarette smoking is a global public health concern, particularly in developing countries. Saudi Arabia has a high prevalence of smoking among young individuals, highlighting the need for interventions to address this issue. Aims: This study aimed to evaluate the awareness, attitude, smoking rates, and perception of health risks among young individuals in the Jazan region of Saudi Arabia. The goal was to identify areas for improvement and develop effective strategies to combat smoking and promote healthier lifestyles. Methods and Materials: A cross-sectional survey was conducted at the out-patient department of the College of Dentistry, Jazan University, over a 3-month period. A questionnaire consisting of 15 open-ended questions was administered to eligible patients. Statistical Analysis Used: Statistical analysis was performed using the Chi-squared test with a P- value of <0.05. Results: Out of 300 participants, the majority were males, university students, and non-smokers. Among smokers, electronic cigarettes were the most used form. Starting smoking with friends was a common trend. Females smoked fewer times per day compared to males. Participants expressed concerns about the damaging effects of smoking on health. Conclusions: Targeted interventions and educational programs are needed to address smoking behaviors among young individuals in the Jazan region. Gender-specific interventions, family involvement, and promoting school connectedness are crucial in reducing smoking rates. Graphic health warnings on cigarette packs have the potential to improve knowledge and quitting intentions. Continued research and surveillance are necessary to inform evidence-based policies and interventions to combat youth smoking. [ABSTRACT FROM AUTHOR]

Objective: This systematic review examines the efficacy and biocompatibility of orthodontic clear aligner tooth aligners constructed from polyethylene terephthalate glycol (PeT-G), polypropylene (PP), polycarbonate (PC), thermoplastic polyurethanes (TPUs), and ethylene-vinyl acetate (EVA). Materials and Methods: To find relevant papers published through September 2021, PubMed was searched extensively. Randomized clinical trials (RCTs) and observational studies assessing the effectiveness and biocompatibility of the aligner materials were included. Data were extracted independently, and the quality of included research was appraised using relevant procedures. The research variability necessitated a narrative synthesis. Results: Five studies were included for comparison. All materials were biocompatible; however, PeT-G and EVA aligners caused the least tissue irritation. Patients preferred TPU aligners for initial comfort and PeT-G aligners for transparency and endurance. Conclusion: Biocompatible PeT-G, PP, PC, TPU, and EVA tooth aligners fix malocclusions. Aligner materials should be chosen based on patient preferences, treatment goals, and material qualities. For stronger proof, a longer-term study is needed. [ABSTRACT FROM AUTHOR]

Aim: This research was done to analyze the effectiveness related to herbal chemicals in tackling candidiasis. Materials and Methods: Grounded and ethanol-extracted residues of plants like Avicennia marina, Fagonia indica, Portulaca oleracea, Lawsania inermis, Ziziphus spina, Asphodelus tenuifolius, and Salvadora persica were used in the study. The extract was used against candida species, after which the antibacterial as well as cytotoxicity toward the former were evaluated. Results: L. inermis and P. oleracea with minimal inhibitory concentration of approx. 10 cenmL had an increased activity against candida species. The preparations of these plants acted against Candida albicans during its stages related to pathogenesis during biofilm production. Superadded infections like in case of bacterial infections along with candida can be difficult to cure. On human RBCs, these plant preparations had no toxicity at their minimum inhibitory concentration level. Conclusion: We concluded that, as far as being anti-candida and acting against MDR bacterial infections, preparations of plants were effective as an alternative to allopathic drugs. [ABSTRACT FROM AUTHOR]

Aim: This study aims to determine the prevalence of idiopathic osteosclerosis in the Indian population using digital panoramic radiographs. Methodology: A cross-sectional study was carried out with a total of 2000 digital panoramic radiographs for the presence of idiopathic osteosclerosis in the Indian sub-population. The area that appeared as an obvious bony island, either round, oval, or irregular shape with a definite internal structure, was selected as a criterion for diagnosis and categorized into five types based on location: inter radicular, inter radicular and separate, apical and inter radicular, apical, and separate. After evaluation, it was correlated based on age, gender, type, and location. Statistical analysis was performed using Pearson’s Chi-square test. Results: A total of 90 areas of osteosclerosis were found, and a prevalence rate of 4.5% was obtained. The separate type of osteosclerosis showed the highest rate of occurrence. The prevalence rate was identified to be higher in female subjects, and the majority of the lesions occurred among the age group of 12-21 years. Conclusion: This study showed the prevalence of 4.5% on digital panoramic radiographs and found a significant value (p-value 0.042) between the types of idiopathic osteosclerosis and its location. [ABSTRACT FROM AUTHOR]

Background: Machine learning (ML) is a key component of artificial intelligence (AI). The terms machine learning, artificial intelligence, and deep learning are erroneously used interchangeably as they appear as monolithic nebulous entities. This technology offers immense possibilities and opportunities to advance diagnostics in the field of medicine and dentistry. This necessitates a deep understanding of AI and its essential components, such as machine learning (ML), artificial neural networks (ANN), and deep learning (DP). Aim: This review aims to enlighten clinicians regarding AI and its applications in the diagnosis of oral diseases, along with the prospects and challenges involved. Review results: AI has been used in the diagnosis of various oral diseases, such as dental caries, maxillary sinus diseases, periodontal diseases, salivary gland diseases, TMJ disorders, and oral cancer through clinical data and diagnostic images. Larger data sets would enable AI to predict the occurrence of precancerous conditions. They can aid in population-wide surveillance and decide on referrals to specialists. AI can efficiently detect microfeatures beyond the human eye and augment its predictive power in critical diagnosis. Conclusion: Although studies have recognized the benefit of AI, the use of artificial intelligence and machine learning has not been integrated into routine dentistry. AI is still in the research phase. The coming decade will see immense changes in diagnosis and healthcare built on the back of this research. Clinical significance: This paper reviews the various applications of AI in dentistry and illuminates the shortcomings faced while dealing with AI research and suggests ways to tackle them. Overcoming these pitfalls will aid in integrating AI seamlessly into dentistry. [ABSTRACT FROM AUTHOR]

Warthin's tumor undoubtedly is the most frequent monomorphic adenoma of the major salivary glands. Clinically, it appears as a slow-growing tumor often fluctuant on palpation due to its cystic nature. The treatment of choice is complete excision with wide tumor-free margins. This article highlights a case of Warthin's tumor of the parotid gland in an elderly male patient along with a review of the literature on the aforementioned pathology. [ABSTRACT FROM AUTHOR]