Tehran University of Medical Sciences Nanomedicine Research Journal 2476-3489 11 2 2026 06 01 AI-Driven Nanomedicine in Modern Dentistry: Emerging Paradigms Across Prosthodontics, Endodontics, and Orthodontics 152 160 741397 10.22034/nmrj.2026.02.005 EN Mehrnaz Motiei Department of Prosthodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran Hadi Monzavi Department of Prosthodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran Ilyad Ghaffarlou Department of Prosthodontics, Faculty of Dentistry, Tabriz Azad University, Tabriz, Iran Ailar Javaheripour Department of Endodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran Afsaneh Nekouei Department of Pedodontics, Faculty of Dentistry, Shahr_e_Kord University of Medical Sciences, Iran Shaghayegh Jamali Department of Endodontics, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran Faezeh Masoomi Department of Prosthodontics, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran Journal Article 2026 07 15 The convergence of artificial intelligence (AI) and nanomedicine is redefining modern dentistry by enabling more precise, personalized, and minimally invasive care across prosthodontics, endodontics, and orthodontics. This review synthesizes recent advances in AI-driven design, characterization, and clinical translation of nano-engineered materials and devices for dental applications. It first outlines the fundamental concepts of dental nanomedicine and core AI methodologies including machine learning, deep learning, generative models, and inverse design used to optimize nanoparticle properties, nanocomposites, and functional coatings. The role of advanced imaging, spectroscopic, and biosensing techniques in generating high-quality datasets for AI models is then discussed. Subsequent sections examine specialty-specific applications, such as nanostructured and AI-optimized prosthodontic materials, antimicrobial and regenerative nanoplatforms in endodontics, and smart, low-friction, and sensor-augmented systems in orthodontics. Cross-cutting themes, including personalized and predictive dentistry, integration with digital workflows, regulatory and ethical considerations, and the impact of AI on scalability and quality control, are critically evaluated. Particular emphasis is placed on safety, nanotoxicology, long-term biocompatibility, and environmental implications of nanoparticle use in oral applications, highlighting the need for robust standards and “safe-by-design” and “eco-by-design” strategies. Overall, AI-driven nanomedicine holds substantial promise to transform diagnostic accuracy, therapeutic efficacy, and patient experience in dentistry, provided that technical innovation is matched by rigorous validation, interdisciplinary collaboration, and responsible governance. https://www.nanomedicine-rj.com/article_741397_6b715251c3ff13224c574c731ab844ab.pdf