Current Updates In Artificial Intelligence In Prosthodontics: A Narrative Review

Abstract

Background: Artificial intelligence (AI) is revolutionizing prosthodontics with technologies such as machine learning (ML), neural networks, and computer vision. This review discusses AI's history, applications, and potential across prosthodontics, including challenges like ethical issues and data privacy. AI can streamline workflows, enhance diagnostics, and improve treatment planning and outcomes in areas like removable and fixed prosthodontics, maxillofacial prosthetics, and implantology. Search methodology: A comprehensive literature search was conducted across electronic databases, including PubMed, Scopus, and Google Scholar. The search focused on articles published in English within the last 10 years (2013–2023), using key terms such as "artificial intelligence," "machine learning," "deep learning," and "prosthodontics," combined with specific terms like "dental implants," "digital dentistry," and "CAD/CAM." Relevant peer-reviewed articles, clinical studies, and review papers were included, while editorials, conference abstracts, and non-peer-reviewed content were excluded. The literature was manually screened for relevance based on titles and abstracts, and reference lists of selected studies were also reviewed to identify additional relevant publications Conclusion: AI has shown significant potential to enhance accuracy, efficiency, and personalization in prosthodontics. While current applications are promising, further research is needed to validate AI-driven technologies in clinical practice and explore their integration into routine prosthodontic care