Background: Dental records are an essential component of diagnosis, treatment planning, follow-up, forensic identification, and long-term oral healthcare. However, dental records in India are predominantly maintained independently by individual clinics and institutions. When patients relocate, change healthcare providers, or seek treatment at multiple centres, previous records may become difficult to access. This fragmentation can result in repeated investigations, duplication of radiographs, incomplete medical and dental histories, delays in clinical decision-making, and increased treatment expenditure. DentoVault is proposed as a universal, cloud-based dental record management system designed to provide secure, lifelong, and interoperable access to a patient's dental information. Proposed Methodology: DentoVault is conceptualized as a centralized digital platform connecting patients and verified dental practitioners. Dentist authentication would be performed through professional registration details, while patient authentication could utilize mobile-based OTP verification and, where appropriate and legally permissible, integration with established digital health identifiers. Clinical information including dental history, treatment records, prescriptions, radiographs, photographs, laboratory reports, periodontal charts, prosthodontic records, and clinical notes would be stored in an encrypted cloud environment. Automated timestamps and audit trails would maintain the chronology and integrity of records. A role-based access-control mechanism would provide dentists with appropriate clinical privileges while allowing patients-controlled access to their own information. Artificial intelligence-assisted modules could subsequently be incorporated to support risk assessment, image analysis, and clinical decision-making. Expected Outcome: DentoVault is expected to improve continuity of dental care by creating a unified longitudinal record that can accompany the patient across participating dental practices and institutions. The system could reduce unnecessary duplication of investigations and improve the availability of previous treatment information. It may also facilitate faster clinical decision-making, inter-clinic communication, tele-consultation, and patient engagement. De-identified and appropriately governed aggregated information could potentially contribute to oral-health research, epidemiological surveillance, and healthcare planning. Conclusion: DentoVault represents a conceptual framework for transforming fragmented dental documentation into a secure, interoperable, patient-centred digital record system. By connecting dental visits across healthcare providers, the proposed platform has the potential to support paperless dentistry, continuity of care, tele-dentistry, academic research, and evidence-based oral-health planning. Future development may include integration with India's digital health ecosystem, artificial intelligence-assisted imaging workflows, standardized interoperability protocols, and advanced security technologies.

Digital implantology has transformed implant therapy from a predominantly analogue sequence into an integrated, data-driven pathway that links three-dimensional diagnosis, prosthetically driven planning, guided surgery, digital impression making, computer-aided design and manufacturing and increasingly artificial intelligence. This narrative review examines the principal components of contemporary digital implantology, evaluates the evidence supporting their clinical use and identifies limitations that influence accuracy, safety and treatment value. Cone-beam computed tomography, intraoral scanning and facial scanning permit construction of a virtual patient and improve communication between surgical and restorative teams. Static computer-assisted implant surgery generally provides more reproducible implant positioning than freehand placement, although cumulative errors may arise during image acquisition, data registration, guide fabrication, drilling and implant insertion. Dynamic navigation offers real-time feedback and intraoperative flexibility, whereas robot-assisted systems may further improve positional control; however, their evidence base remains dominated by laboratory studies and relatively small clinical series. Digital impressions and computer-aided manufacturing can reduce chairside time and enhance patient experience, particularly for single-unit and short-span restorations, while complete-arch workflows remain sensitive to scanning strategy, implant distribution, soft-tissue mobility and scan-body geometry. Artificial intelligence is emerging as an adjunct for segmentation, anatomical landmark detection, implant planning and risk prediction, but external validation, transparency, accountability and data governance require further development. Overall, digital implantology can improve precision, efficiency, documentation and interdisciplinary coordination, but it should be understood as a controlled clinical workflow rather than a guarantee of error-free treatment. Future progress depends on standardized accuracy reporting, long-term patient-centered trials, interoperability, cost-effectiveness studies and continued clinician oversight.

Behçet's disease is an uncommon multisystem inflammatory condition characterized by immune-mediated vasculitis affecting vessels of different calibers. Clinically, it presents with recurrent oral and genital ulcerations, dermatological manifestations, and ocular involvement, reflecting its systemic nature. The present study was designed to characterize gut microbial patterns in patients diagnosed with Behçet’s disease and to assess selected immune biomarkers — IL-17A, IL-23, CD4, and CD11b — as potential diagnostic and prognostic indicators. Participants were recruited from Al-Sadr Medical City between December 2024 and September 2025, with ages ranging from 11 to 51 years. Venous blood samples were obtained from patients, and serum concentrations of IL-17A, IL-23, CD4, and CD11b were quantified using the ELISA technique. The study population showed a predominance of male patients, with the highest frequency observed in the 22–31-year age group. Statistical analysis demonstrated significantly elevated serum levels of IL-17A and IL-23 in Behçet’s patients compared with healthy controls. Similarly, CD4 and CD11b expression levels were markedly increased. A strong positive correlation was identified among these immune markers, suggesting coordinated immunological activation. In conclusion, IL-17A, IL-23, CD4, and CD11b may serve as valuable diagnostic and predictive biomarkers in Behçet’s disease, and their interrelationship highlights their potential role in disease pathogenesis and progression.

Background: Identification of denture wearers is crucial in forensic investigations, hospitals, old-age homes and other institutional settings. Conventional denture-labelling methods, such as engraving, identification bands, or inclusion strips, may be susceptible to wear, damage and limited information storage. This project explores the incorporation of Quick Response (QR) codes within dentures as a modern, durable, inexpensive and information-rich alternative for digital identification. Methods: A QR code containing selected patient and clinic details, or a secure link to authorized digital records, is generated and printed on waterproof material. During denture fabrication, the label is positioned in a relatively protected region, such as the posterior palatal area of a maxillary denture or the lingual flange of a mandibular denture. The label is then sealed within clear heat-cured acrylic resin. Following processing and polishing, the completed denture is examined and the embedded QR code is tested for readability using a smartphone or compatible QR-code scanner. Expected Outcome: QR-coded dentures are expected to allow rapid access to relevant identification information, thereby facilitating identification in emergencies, forensic investigations, hospitals and institutional settings. The approach may also improve record-keeping, reduce the risk of denture mix-ups and provide a practical link between prosthodontic appliances and digital dental records. Conclusion: Embedding QR codes in dentures offers a secure, inexpensive and potentially durable approach to patient identification. The concept combines prosthodontic practice with contemporary digital technology and may have applications in forensic dentistry, geriatric care, hospitals and long-term institutional settings. With appropriate privacy safeguards and secure data handling, QR-coded dentures could represent a practical step toward digitally enabled prosthodontic identification.