Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects

Abstract

<p>Background: Artificial intelligence (AI) applications in dental restorative procedures have significantly developed over recent years. However, there is a lack of documentation regarding the types of AI used in tooth reconstruction.<br>Types of Studies Reviewed: Studies using AI in tooth reconstruction were electronically searched over three databases PubMed, Cochrane library, and Google Scholar. The relevancy of theme tooth recon-struction was prioritized in searching. Only original research was included without the restriction of publication time or any filters.<br>Results: A total of 18 studies were included in this review: 5 reported programmable AI systems based on mathematical models such as statistical estimation, 9 studies used biogeneric tooth libraries, and 4 presented the deep learning models.<br>​​​​​​​Practical Implications: AI has gained significant progress over the past two decades as a powerful tool for automated tooth reconstruction. However, further studies are required to compare different forms of AIs and to assess their clinical performance in the reconstruction of occlusal surfaces.<br></p>