Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of dental caries (DC) using DL algorithms from 2D radiographs. Materials and Methods: This comprehensive umbrella review adhered to the “Reporting guideline for overviews of reviews of healthcare interventions” (PRIOR). Specific keywords were generated to assess the accuracy of AI and DL algorithms in detecting DC from radiographical images. To ensure the highest quality of research, thorough searches were performed on PubMed/Medline, Web of Science, Scopus, and Embase. Additionally, bias in the selected articles was rigorously assessed using the Joanna Briggs Institute (JBI) tool. Results: In this umbrella review, seven systematic reviews (SRs) were assessed from a total of 77 studies included. Various DL algorithms were used across these studies, with conventional neural networks and other techniques being the predominant methods for detecting DC. The SRs included in the study examined 24 original articles that used 2D radiographical images for caries detection. Accuracy rates varied between 0.733 and 0.986 across datasets ranging in size from 15 to 2,500 images. Conclusion: The advancement of DL algorithms in detecting and predicting DC through radiographic imaging is a significant breakthrough. These algorithms excel in extracting subtle features from radiographic images and applying machine learning techniques to achieve highly accurate predictions, often outperforming human experts. This advancement holds immense potential to transform diagnostic processes in dentistry, promising to considerably improve patient outcomes.

Purpose: The data available on the incidence and mortality rates of head and neck cancer types (HNCs) in the Gulf Cooperation Council countries (GCC) have relied on global trends and covered only certain cancer sites, types or certain age groups. This study aimed to assess the incidence and mortality rates of head and neck cancer (HNCs) within the Gulf Cooperation Council (GCC) countries, providing insights into their geographic variability in 2020. Methods: Prediction of the magnitude of the disease to 2040 was explored based on demographic projections. Estimates of incidence and mortality and the population projections were extracted from the Global Cancer Observatory (GLOBOCAN) database and the United Nations Department of Economic and Social Affairs respectively for the time frame 2020 to 2040. Additionally, we analyzed the distribution of cases and deaths by age and sex for both time periods. Results: The analysis indicates varying patterns in HNC rates across GCC countries in 2020, with Oman and Saudi Arabia carrying the highest burden. Projections for 2040 reveal a substantial increase in new HNC cases and related deaths, particularly in Qatar, UAE, and Bahrain. Furthermore, incidence rates are predicted to rise significantly for individuals aged 50 and older, while remaining relatively stable for those under 50. With regards to sex, males generally exhibit higher rates, except in Qatar. Conclusion: HNC burden is anticipated to rise significantly in the GCC, with variations per age, sex and geographical location. By 2040, a 2-3-fold increase in HNCs in the GCC is anticipated, emphasizing the need for focused public health strategies to address this rising health challenge.

Introduction: The relationship between obesity and dental caries in adults presents inconsistent findings in current literature, which necessitates further research to clarify this relationship. This study aimed to examine the association between obesity and dental caries in adults using a nationally representative sample. Methods: This study employed data of US adults aged >20 years from the National Health and Nutrition Examination Survey (NHANES) pre-pandemic cycle. Obesity was defined using the waist-to-hip ratio (WHR), body mass index (BMI), and waist circumference. Dental caries were assessed using the Decayed, Missing, Filled Teeth (DMFT) scores. Results: Most participants were categorized as individuals with obesity based on the WHR (74.5%) or BMI (72.7%). A significant difference in the DMFT scores and missing teeth was observed between individuals with normal weight and individuals with obesity. After adjusting for the sociodemographic variables, individuals with obesity had a 0.11 higher DMFT score (95% confidence interval [CI]: −0.01 to 0.23). A significant association was observed between the WHR and DMFT scores when age was excluded from the model, demonstrating a higher coefficient of 0.17 (95% CI: 0.05–0.30). Conclusions: A positive association was observed between obesity and dental caries in the US adult population. However, age was found to be a confounding factor in this relationship. This study highlights the relationship between oral and general health, advocating healthcare providers for an integrated health promotion strategy, through comprehensive campaigns addressing obesity, diet, lifestyle, and dental health, aiming for raising awareness and a more effective public health strategy.

Objective: The aim of this study is to examine the effect of diet drinks on dental erosion among a representative sample of US adults. Methods: Adult dietary and dental data were analyzed from the 2003–2004 cycle of the National Health and Nutrition Examination Survey. Erosion was measured with a modified tooth wear index and was analyzed as a dichotomous variable. Cluster analysis was performed, and the cluster number was based on having a separate diet drink cluster and the R² values. Survey procedure and sample weights were used. Results: Most of the population (80%) had some form of dental erosive lesions. When compared with the total sample, people with erosion were more likely to be male (52.5%) and older. People with no erosive lesions were younger (42.3%) and non-Hispanic Black (21.2%). Cluster analysis resulted in 4 distinct clusters: high water, high diet drinks, high coffee/tea, and high soda. The respective percentage of individuals in each cluster who had erosion was 78.9%, 85%, 83.9%, and 76.2%, where the “high diet drinks” cluster showed the highest erosion ( P = 0.28). Logistic regression modeling showed that the “high diet drinks” cluster had increased odds of erosion (odds ratio = 1.27; 95% CI = 0.58 to 2.77) when compared with the “high water” cluster, but the relationship was not statistically significant. Conclusion: High diet drinks consumption slightly increased the odds of dental erosion among US adults, although this relationship was not statistically significant. It is thus not yet clear that dentists should recommend diet drinks, as they might be linked to systemic diseases. Further research is needed to explore more about risk factors of erosion. Knowledge Transfer Statement: The findings of this study are suggestive, though not significantly, that diet drinks may increase risk for dental erosion. While further research is needed, it is not clear that dentists should recommend these drinks as healthy substitutes for sugary drinks.

This cross-sectional study aims to examine the effect of marijuana-smoking on dental caries experience and to explore the potential combined effects of tobacco and marijuana cigarette-smoking. We used data from the 2011-2014 National Health and Nutrition Examination Survey (NHANES). We examined demographics, tobacco- and marijuana-smoking, dental examination, and dietary intake. Caries was measured as decayed, missing, filled teeth (DMFT). Data analysis included univariate, bivariate analyses, and linear regression model (LRM) to examine the association between marijuana-smoking and DMFT. Mean DMFT score was lowest for nonsmokers (8.72) and highest for current marijuana smokers (9.87) (P < .0001); however, LRM results revealed that marijuana-smoking was not associated with caries. Adjusted DMFT was the highest for current tobacco and former marijuana smokers (β estimate = 1.18; 95% CI, -0.27 to 2.62), but the relationship was not statistically significant. After controlling for potential confounders, there was no significant association between marijuana-smoking and dental caries experience. However, when marijuana and tobacco were smoked concurrently, there was a notable increase in DMFT, although the difference was not statistically significant. Future research should be directed towards exploring the effects of different forms of marijuana consumption, such as edibles and drinkables, on caries development. Health promotion programmes should be aimed at educating the public regarding the combined health impacts of smoking both marijuana and tobacco, considering the potential heightened caries risk.

Introduction: Financial concerns deter many people from seeking orthodontic care. Fake braces replicate the real orthodontic braces but are not functional and are priced at a lower cost. These products are available through illegal and unregistered merchants, who use social media for advertising their products. This study aimed to analyze Arabic Twitter posts related to fake braces. Methods: Tweets were collected from Twitter API v2 using Python. The search was limited to the Arabic language, using keywords such as “fake braces” and “fashion braces.” Tweets were collected in the period from January 1, 2020, until July 31, 2021. Both sentiment and thematic analyses were performed. Results: 788 tweets met the inclusion criteria, 660 of which were advertisements. The rest of the tweets (n = 128) were categorized into four main themes: rejecting the idea of fake braces (49.2%), having the intention to buy fake braces (32.0%), using/used fake braces (14.1%), and accepting the idea of fake braces (4.7%). Sentiment analysis showed that more than half of the tweets (55.5%) were negative and mainly involved sarcastic language (65.8%). Conclusion: Although many of the tweets were against the use of fake braces, a sizable number of advertisement tweets promoted fake braces. Efforts should be made to educate the public about the risks of using fake braces and to emphasize the importance of seeking a licensed orthodontist for treatment. In addition, health authorities must establish laws and policies and enhance surveillance to control social media content advertising these harmful products.