Advancements in periodontal pathology: A systematic review and meta-analysis of molecular diagnostics, imaging techniques, regenerative therapies, and artificial intelligence

Abstract

: Periodontal diseases, such as gingivitis and periodontitis, are prevalent conditions that adversely affect the supporting structures of teeth. Recent advancements in the field of periodontal pathology have enhanced understanding of disease mechanisms and improved diagnostic and therapeutic strategies.: To provide a comprehensive review of current innovations in periodontal pathology and explore emerging technologies and future directions that could revolutionize periodontal care.: This review synthesizes findings from recent literature on advancements in periodontal pathology, including molecular diagnostics, imaging techniques, regenerative therapies, and the application of artificial intelligence (AI). A systematic approach was adopted to identify and analyze relevant studies, focusing on their clinical relevance and potential for transforming periodontal care.: Key advancements include: 1. Molecular Diagnostics: Improved identification of biomarkers for early detection and disease progression monitoring. 2. Imaging Techniques: Enhanced visualization of periodontal structures using advanced modalities like cone-beam computed tomography (CBCT) and optical coherence tomography (OCT). 3. Regenerative Therapies: Breakthroughs in tissue engineering, stem cell therapy, and biomaterials for periodontal regeneration. 4. Artificial Intelligence: Integration of AI for predictive modeling, diagnostic support, and personalized treatment planning.: Recent innovations in periodontal pathology have significantly expanded diagnostic and therapeutic possibilities. Emerging technologies, including AI and regenerative approaches, hold immense potential for future advancements. Continued research and clinical integration of these innovations are critical for enhancing periodontal care and improving patient outcomes.