International Dentistry Journal (ISSN: 3065-4505) | Volume 4, Issue 3 | Case Report | Open Access
Aleksandar Naydenov*
Department of Prosthetic Dental Medicine, Faculty of Dental Medicine, Medical University, Sofia
*Correspondence to: Aleksandar Naydenov
Fulltext PDFThe integration of artificial intelligence (AI) into dentistry is revolutionizing oral healthcare and is evolving from narrow task-specific models to potentially artificial general intelligence (AGI)-led practices. This narrative review synthesizes evidence from 45 sources, including peer-reviewed articles, books, reports, and leading specialists’ conclusions (2005-2025), to examine current AI applications, their transformative impact and evolutionary forecasts regarding dental practices.
Current AI, mainly narrow systems like convolutional neural networks (CNNs) and generative adversarial networks (GANs) are enhancing treatment planning, designing, time and benefiting dentists with less errors. Patients benefit from personalized care. Dental technicians are granted streamlined workflows. Challenges include data biases, ethical concerns, and job displacement risks.
Our forecast has four stages: (1) AI surpassing dentists in diagnostics (2025-2035); (2) AI outperforming in virtual planning and construction (2025-2040); (3) AI surpassing dentists in real work execution (2025-2040); and (4) AGI lead dental practices - full autonomy across variable tasks is enabled (? - 2047).
Dentists may need to shift to supervisory roles while dental technicians face high risk of job loss. Patients will gain precision and affordable treatment but struggle with trust issues and data preservation.
Regulatory frameworks are needed to emphasize transparency, privacy, and equity. Curriculum reforms in dental universities will be needed to face new reality.
Artificial Intelligence; Transformative; Automation; Job Loss; Forecast
Aleksandar Naydenov. The Impending Obsolescence Of Traditional Dentistry: A Forecast Of AI Integration And Its Transformative Impacts. Int Dent Jour. 2025;4(3):1-14.