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International Arab Journal of Dentistry

DOI

https://doi.org/10.70174/iajd.v16i1.1407

Abstract

Background: The marginal and internal fit of dental restorations is crucial for their long-term success. Various materials, manufacturing techniques, and impression methods have been explored to improve the fit of restorations, particularly zirconia crowns. This review aimed to compare the marginal and internal fit of zirconia crowns designed using artificial intelligence (AI) and computer-aided design/computer-aided manufacturing (CAD/CAM) software.

Methods: The literature search was conducted across seven databases, including PubMed, Scopus, Web of Science, Cochrane Library, Embase, ProQuest, and ScienceDirect, using a combination of keywords and MeSH terms. A standardized form was created to ensure consistency and accuracy in the retrieved data.

Results: Across the 7 included studies, CAD/CAM-fabricated restorations, particularly those made using digital workflows and impression techniques, demonstrated superior fit compared to conventionally fabricated restorations. Digital methods, such as fully digital (IOS) and digital intra-oral impressions, resulted in better fit compared to other techniques. High-speed sintering showed promising results for single-visit zirconia treatment, with smaller marginal gap values. Self-glazed zirconia (SGZ) crowns demonstrated better internal and total fit compared to milled zirconia (MZ) crowns.

Conclusion: The obtained findings revealed that CAD/CAM-fabricated restorations, especially those designed using digital workflows and impression techniques, exhibited superior marginal and internal fit compared to conventionally fabricated restorations. Advancements in digital technology, such as fully digital workflows and high-speed sintering, have shown promising results in improving the fit of zirconia crowns. Further research is needed to establish the long-term clinical performance of restorations designed using AI and CAD/CAM software.

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