Article Title And Bibliographic Information: Shetty, S., et al. (2023). "Artificial intelligence systems in dental shade-matching: A systematic review." J Prosthodont. DOI: 10.1111/jopr.13805.
Source Of Funding: Information not available.
Type Of Study/design: Systematic review.
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http://dx.doi.org/10.1016/j.jebdp.2024.102042 | DOI Listing |
Clin Oral Investig
January 2025
Center for Dental Medicine, Department of Operative Dentistry and Periodontology, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.
Objectives: The study aimed to assess the percent correct shade identification of four intraoral scanners (IOS) and a spectrophotometer, focusing on how reliably each device selects the correct tooth shade compared to a visual observer's selection. The research question addresses how much clinicians can trust the device-selected shade without visual verification.
Materials And Methods: Sixteen participants with natural, unrestored teeth were included.
Materials (Basel)
December 2024
Department of Restorative Dentistry, Faculty of Dental Medicine, Hokkaido University, Kita 13 Nishi 7, Kita-ku, Sapporo 060-8586, Japan.
Background: This study aimed to evaluate the color-matching and light transmission properties of a newly developed aesthetic flowable resin composite, OCFB-001.
Methods: Rubber molds containing cylindrical cavities were filled with Estelite Sigma Quick, and 40 resin composite (CR) molds with simulated Class I cavities were prepared in shades A1, A2, A3, and A4, resulting in a total of 160 samples. Following bonding procedures, four different flowable resin composites ( = 10) were introduced into the cavities.
Cureus
November 2024
Department of Preventive Dentistry, Umm Al-Qura University, Makkah, SAU.
Objectives: Recently, dental esthetics have increasingly emphasized appearance, with tooth shade selection complicated by the enamel and dentin's translucency and opacity. Smartphone cameras are useful for shade matching. Currently, no study has directly compared the accuracy of this method.
View Article and Find Full Text PDFJ Esthet Restor Dent
December 2024
John M. Powers Ph.D., Center for Biomaterials and Biomimetics (PCBB), UTHealth Houston School of Dentistry, Houston, USA.
Objective: To provide guidelines and means for optimal coverage and distribution of computer models with 1-10 clusters, designed based on an in vivo extensive dental colorimetric database and compare the findings with some reputable shade guides.
Materials And Methods: The Fuzzy C-Means (FCM) algorithm was used to optimize the tab position in the CIELAB color space, while MATLAB Fuzzy Logic was used to implement the codes. A minimization process was performed to fine-tune the cluster centers, minimizing Coverage Error (CE) and Maximum Error (ME).
Article Title And Bibliographic Information: Shetty, S., et al. (2023).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!