The future of dental prosthetics: Artificial Intelligence and Machine Learning applications

Abstract

Background: Dental prosthetics, such as crowns, bridges, and implants, have traditionally required meticulous craftsmanship and labor-intensive processes. The introduction of Artificial Intelligence (AI) and Machine Learning (ML) promises to revolutionize this field by enhancing precision, efficiency, and personalization in the creation and fitting of prosthetics. These technologies can automate various stages of prosthetic development, from diagnosis to manufacturing, resulting in more accurate, tailored, and cost-effective dental solutions. However, integrating AI and ML into dental practices presents challenges, including data security, the need for large datasets for ML training, and the adaptation of clinical workflows.
Methods: This cross-sectional study utilized a structured questionnaire to gather insights from 200 dental professionals, including prosthodontists, dental technicians, and researchers, on the current and potential applications of AI and ML in dental prosthetics. The questionnaire covered topics such as current knowledge and use of AI/ML, perceived benefits, challenges, and future prospects. Quantitative data were analyzed using statistical software, with descriptive and inferential statistics applied to explore relationships between variables.
Results: The findings highlight the growing recognition of AI and ML's potential to improve diagnostic accuracy, prosthetic design efficiency, and patient outcomes in dental prosthetics. Despite these benefits, challenges such as technological integration, cost, and ethical considerations remain significant.
Conclusion: The study underscores the need for further research and training to fully harness AI and ML's capabilities in dental prosthetics, paving the way for more advanced, accessible, and effective dental care.