European Journal of Molecular & Clinical Medicine

Abstract

Aim: To do a comprehensive assessment of the application of artificial intelligences(AI) and machine learning (ML) in dentistry, to provide the dental community a wide perspective on the different achievements that these technology and techniques have achieved, giving specific attention to the field of esthetic dentistry and color research.
Materials and method: The systematic review was undertaken in MEDLINE PubMed, Web of Science, and Scopus databases, for research published in English language in the previous 15 years.
Results: Out of 3213 suitable articles, 103 were included for final review. Study techniques included deep learning (DL; n = 68), fuzzy logic (FL; n = 10), and other ML approaches (n = 24), which were largely used to illness detection, image segmentation, picture correction, and biomimetic color analysis and modeling.
Conclusion: The insight offered by the current investigation has reported exceptional outcomes in the construction of high-performance decision assistance systems for the aforementioned sectors. The future of digital dentistry goes through the construction of integrated techniques offering individualized therapy to patients. In addition, esthetic dentistry can profit from such improvements by building models providing a comprehensive characterisation of tooth color, boosting the correctness of dental restorations.
In the field of dentistry, the usage of AI and ML is having an increasingly significant influence and complements the growth of digital tools and technology providing a wide range of applications in dental treatment planning and cosmetic operations