Introduction: Severe periodontitis, corresponding to Stage III and Stage IV disease according to the 2018 World Workshop classification, represents a substantial global health burden. Systemic antibiotics have been investigated as adjuncts to mechanical periodontal therapy; however, their effectiveness and appropriate use in severe periodontitis remain uncertain. This umbrella review aimed to synthesize the available evidence on adjunctive systemic antibiotics in Stage III and Stage IV periodontitis and assess the methodological quality of the available systematic reviews. Methods: This umbrella review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search of MEDLINE, Embase, and other relevant databases was conducted from June 2018 to June 2026. Systematic reviews evaluating adjunctive systemic antibiotics in patients with Stage III or Stage IV periodontitis, classified according to the 2018 World Workshop, were eligible. Methodological quality was assessed using AMSTAR-2 and overlap among primary studies was evaluated using the Corrected Covered Area (CCA). Results: Two systematic reviews met the inclusion criteria: a network meta-analysis by Lin et al. and a systematic review by Jones and Hoyle focusing on azithromycin. The CCA was approximately 52.9%, indicating substantial overlap between the included reviews. Lin et al. reported moderate-certainty evidence that adjunctive amoxicillin plus metronidazole (AMX + MTZ) resulted in greater clinical attachment level gain and probing pocket depth reduction compared with mechanical debridement alone. Jones and Hoyle found insufficient evidence to support routine adjunctive azithromycin, owing to low certainty and heterogeneity among studies. Discussion and Conclusions: Adjunctive systemic antibiotics, particularly AMX + MTZ, may provide additional clinical benefits in severe periodontitis. However, the limited number of systematic reviews, substantial overlaps, and uncertainty surrounding some antibiotic protocols limit the strength of the evidence. Current findings support selective rather than routine antibiotic use, guided by individual patient and disease characteristics and antimicrobial stewardship. Future studies should emphasize long-term outcomes and consistently distinguish Stage III from Stage IV periodontitis.

Introduction: Digital dentistry has transformed modern practice through CAD/CAM, intraoral scanners, and AI technologies, while robotic surgery and smart implants further enhance precision and clinical outcomes. The aim of this article is to evaluate the evolution and impact of digital dental technologies, with particular emphasis on robotic-assisted implantology and smart implant design. Methods: This study presents a narrative review of peer-reviewed articles, clinical trials, and systematic reviews published in the past five years, identified through MEDLINE, PubMed, Scopus, and Google Scholar. Results: Robotic-assisted implant placement improves accuracy by up to 98.2%, reduces surgical errors, and shortens operative time. Smart implants promote osseointegration and lower the risk of peri-implantitis through bioelectric stimulation. In addition, digital workflows enhance diagnostic precision and shorten treatment turnaround times. Discussion: Robotic-assisted implantology and smart implant design are Robotic-assisted implantology and smart implant design are reshaping precision and longevity in modern dental practice. Robotic systems enhance surgical accuracy, reduce procedural errors, and support patient-specific planning, particularly in complex implant cases. At the same time, bioelectric smart implants actively promote tissue regeneration and help mitigate peri-implantitis, marking a shift from passive to responsive implantology. Together, these technologies point toward a transformative future for digital dentistry, although challenges related to cost, training, and regulatory validation remain critical for broader implementation. Conclusion: Advancements in digital dentistry, particularly robotics and smart implants, are transforming clinical practice by improving precision and patient outcomes. Broader integration, however, will require overcoming current limitations related to cost, accessibility, and regulatory frameworks, supported by ongoing research and professional development.

As the world moves toward more eco-friendly and responsible healthcare, dentistry is also rethinking how it can reduce waste, save energy, and protect the environment without compromising on quality care. This chapter looks at how smart digital tools, especially those powered by artificial intelligence (AI), are changing the way dental care is delivered and making it more sustainable. Dental practices often rely on large amounts of materials, produce medical waste, and consume energy through equipment, travel, and repeated procedures. By using intelligent systems in areas like X-rays, treatment planning, remote consultations, and clinic management, dentists can work more efficiently, reduce unnecessary steps, and focus on prevention. We explore real-world examples where AI is helping in everyday dental work like spotting early signs of disease, planning better treatments, and even reducing patient travel. At the same time, we also discuss the challenges like patient data privacy, trust in AI decisions, and the energy cost of running these systems.

Periodontal inflammation can worsen glycemic control in diabetic patients, while poorly controlled diabetes can increase the severity of periodontal diseases. Despite the clinical significance of this relationship, awareness among the general population and even healthcare providers often remain limited. Objective: This study aims to investigate the level of awareness among stakeholders at City University Ajman (CUA) regarding the relationship between periodontal health and diabetes. Material and Methods: A cross-sectional survey was conducted using a structured questionnaire to gather data from CUA students, faculty, and staff. The questionnaire assessed participants’ knowledge about periodontal diseases, diabetes, and the interrelationship between these conditions. Data were analyzed to determine awareness prevalence and identify significant knowledge gaps. Results: Preliminary findings indicate varying levels of awareness among different stakeholder groups. While a substantial number of participants acknowledged a connection between periodontal health and diabetes, a detailed understanding of the bidirectional relationship and its implications on overall health was less prevalent. Factors such as educational background and professional experience influenced the degree of awareness. Conclusion: The study highlights the need for enhanced educational initiatives at CUA to increase comprehension of the connection between periodontal health and diabetes. Increasing awareness among stakeholders can contribute to better management and prevention strategies, ultimately promoting overall health and wellbeing within the university community. KEYWORDS Awareness; Diabetes mellitus; Glycemic control; Health Literacy; Oral Health; Periodontal disease.