Peri-implant soft tissues play a role of paramount importance, not only on the esthetic appearance, but also on the maintenance and long-term stability of implants. The present report presents the conclusions from the Consensus Conference of the South European North African Middle Eastern Implantology & Modern Dentistry Association (SENAME) (4–6 November 2016, Cairo, Egypt). The conference focused on the topic of the soft tissue around dental implants, and in particular, on the influence of implant configurations on the marginal soft tissues, soft tissue alterations after immediate, early or delayed implant placement and immediate loading, the long-term outcomes of soft tissue stability around dental implants, and soft tissue augmentation around dental implants. Thirty world experts in this field were invited to take part in this two-day event; however, only 29 experts were in the final consensus voting process.

Artificial intelligence (AI) is rapidly transforming the landscape of dental implantology by enhancing every stage of treatment, from diagnostics and digital planning to intraoperative navigation, outcome prediction, and long-term follow-up. This narrative review explores the current and emerging applications of AI technologies in implant dentistry, with a focus on machine learning, neural networks, and computer vision. It examines how AI is utilized in digital implant planning, surgical navigation, peri-implant disease monitoring, risk assessment, and the prediction of treatment outcomes such as peri-implantitis and implant failure. These innovations contribute to more efficient workflows, more personalized treatment strategies, and improved cost-effectiveness of care. Finally, future perspectives and educational implications of AI integration in clinical implantology are discussed.

The aim of the present study was to investigate the oral manifestations and salivary composition in type 2 diabetics with periodontitis and to evaluate their association with CA6 gene polymorphism ...

Objective: To evaluate the prevalence and the characteristics of Molar Incisor Hypomineralisation (MIH) in 7-12-year-old children in Tunis, Tunisia. Material and Methods: This study was designed as a cross-sectional study, in which school children aged 7 to 12 years were included. A total of 510 children (257 girls and 253 boys) who had their first permanent molar and incisors were evaluated using the 2003 European Academy of Paediatric Dentistry (EAPD) recommendation criteria were examined. Descriptive data analysis and Pearson’s chi-squared test were performed (p<0.05). Results: A total of 510 children were included in the study. MIH was present in 35.4 % of our study population. Boys exhibited slightly higher MIH (19,4%) and Post Eruptive Breakdown (PEB) (7,3%) prevalence compared to girls, but the difference was not statistically significant (p=0.07). Moreover, demarcated opacities were more prevalent than PEB. More precisely, the main prevalence without PEB was MIH with white/creamy demarcated opacities, which was more frequent than yellow/brown demarcated opacities (p<0.05). Conclusion: The prevalence of MIH in Tunis was 35.4%, with no difference between girls and boys. The main MIH type prevalence was white/creamy demarcated opacities without PEB.