Background: Polymethyl Methacrylate (PMMA) denture-base resins have poor surface properties that facilitates microbial adhesion causing denture stomatitis. This systematic review aims to evaluate the effect of different sizes and percentages of titanium dioxide nanoparticles (TiO2NP) on the antimicrobial property, surface roughness and surface hardness of PMMA denture base resin. Methods: A systematic search of English peer-reviewed articles, clinical trial registries, grey literature databases and other online sources was performed using the PRISMA-S Guidelines for In-Vivo and In-Vitro studies. Qualitative data synthesis was performed to analyse sample dimensions, acrylic used, treatments of nanoparticles, methods used for testing and effect of size and percentage of nanoparticle. Risk of bias assessment was done using modified Cochrane risk of bias tool. Results: Out of 1376 articles, 15 were included. TiO2NP of size less than 30 nm was most frequently used. Both antimicrobial property and surface hardness improved irrespective of the size of the added TiO2NP. Three studies reported increase in the surface roughness with less than 50 nm TiO2NP. 3% TiO2NP was most frequently used. On increasing the percentage, three studies reported an increase in antimicrobial property, while two studies found no change. With TiO2NP greater than or equal to 3%, six studies reported an increase in surface hardness, while two reported increase in surface roughness. Large methodological variations were observed across studies. All studies except one were of moderate quality. Conclusions: On addition of TiO2NP to heat polymerized PMMA, the antimicrobial property and surface hardness improved irrespective of the size of the TiO2NP, however, addition of nanoparticles less than 50 nm increased the surface roughness. Increasing the percentage of TiO2NP increased the surface hardness but did not always increase the antimicrobial property. Addition of 3% TiO2NP provided optimum results with regards to antimicrobial effect and surface hardness, but increase in the surface roughness.

Presence of functional tooth units is essential for preserving masticatory function among individuals. Representing the essence of health promotion practice, demand to measure varied evaluation outcomes is highlighted. (1) To assess the influence of occlusal support and perceived chewing ability on oral health-related quality of life (OHRQoL) among adults attending a private dental institution in Mangalore. (2) To evaluate occlusal support using Eichner index (EI), perceived chewing ability using a self-administered questionnaire and OHRQoL using Oral Health Impact Profile-14 (OHIP-14). Overall, 300 adults attending a private dental institution in Mangalore were included. EI was used to group participants into three groups. The chewing ability was assessed using a questionnaire on perceived difficulty while chewing eight common foods. OHRQoL was measured employing OHIP-14. Perceived general and oral health status and demographic information were collected. The mean perceived chewing ability score was 12.98 ± 6.2 and the mean total OHIP score was 9.23 ± 8.9. EI showed a significant relation with perceived chewing ability, OHIP, and perceived general health status (P < 0.05). Perceived chewing ability and OHIP demonstrated a significant correlation (r = 0.31, P < 0.001). Age, gender, education, occupation, monthly income, family income, and number of family members demonstrated a significant association with EI (P < 0.05). Binary logistic regression analysis revealed that EI, perceived chewing ability, and perceived oral health emerged as significant predictors of OHRQoL (P < 0.05). Occlusal support was significantly associated with perceived chewing ability, OHRQoL, and perceived general health status.

Background: The presence of the dental papilla is critical to achieve esthetics in a single tooth implant restoration. Aim: The purpose of this study was to determine if there were differences in the papilla fill between implant and teeth comparing immediate implant placement and provisionalised single tooth implant restorations with delayed implant placement and provisionalised single tooth implant restorations. The papilla fill in these two groups was evaluated using the Jemt papilla index. Results: It was seen that there was no statistically significant difference seen in the volume of the papilla between both the groups. There was a statistically significant difference seen in both the groups on the distal and mesial side from the initial stage go the follow up period of 10 days, 3 months and 6 months. Conclusion: The interpretation of clinical papilla is a difficult task since many different clinical situations can be encountered while studying single tooth implant restorations. The single tooth implant restoration is a specific entity; the distance between the mesial and the distal side of one implant is never the same. Therefore the present study analysed the papilla as a unit and focused on the vertical fill related to the implant and adjacent teeth.

Artificial intelligence is a computer system which can replicate human behavior and largely supports human actions and interpretation, but not replace human responses. Over the past few decades, the field of artificial intelligence (AI) has experienced phenomenal development and expansion. We are surrounded by several instances of AI. AI has applications in different branches of Dentistry. A total of 59 papers from an electronic search using Google Scholar and PubMed were used to create this narrative review. Artificial intelligence can be utilised for diagnosis, decision-making, treatment planning, early detection and prevention of oral disease, and finally result prediction by utilising cutting-edge technology in imaging. It shows how dentists can use it as a useful tool at various phases of clinical cases. The future of AI in dentistry appears to be outstanding with advancements in full artificial intelligence technology, dental assistance, and dental instructional tools. In order to help dental professionals better grasp AI as a tool to assist their work with enhanced efficiency, investigations need to be done to uncover patterns and foresee future related to oral health concerns. This review article attempts to highlight these points and lays an emphasis on how AI is driving dentistry in the present and will improve dental care in the future.