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Introducing a novel approach to dental color reproduction using AI technology

dc.contributor.authorAwdaljan, Marat Wartanovic
dc.contributor.authorRoque, João Carlos
dc.contributor.authorChoi, James
dc.contributor.authorRondón, Luis Felipe [UNESP]
dc.contributor.institutionLabmatisse BV
dc.contributor.institutionUniversidade de Lisboa
dc.contributor.institutionPrivate Dental Laboratory
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:08:33Z
dc.date.issued2024-12-01
dc.description.abstractObjective: This article aims to describe a systematic method for tooth color reproduction with ceramics restorations employing artificial intelligence (AI) software named Matisse. It provides a comprehensive analysis of the entire process, beginning with shade-taking and extending to ceramic application in a complex clinical case in the anterior region—specifically, a single central restoration supported by an implant. Clinical Considerations: The clinical case presented highlights the potential of Matisse software for generating ceramic (inSync-Jensen Dental, USA) and staining (Miyo-Jensen Dental, USA) recipes over a zirconia abutment (Katana-Noritake Dental, Japan). This approach achieves an optimal single central restoration utilizing CAD-CAM and layering techniques. Conclusions: The systematic method employing the Matisse software achieved accurate color reproduction for a single central restoration supported by an implant. This result was achieved by the dental ceramist within the first attempt and without seeing the patient in the entire process. Clinical Significance: The Matisse AI-assisted protocol offers a systematic and scientifically grounded method for color reproduction in dentistry for indirect restorations.en
dc.description.affiliationLabmatisse BV
dc.description.affiliationBiomaterials Group (BIOMAT) Biomedical and Oral Sciences Research Unit (UICOB) Faculdade de Medicina Dentária Universidade de Lisboa
dc.description.affiliationMaven Dental Studio Private Dental Laboratory
dc.description.affiliationDepartment of Restorative Dentistry Dental School São Paulo State University – UNESP
dc.description.affiliationUnespDepartment of Restorative Dentistry Dental School São Paulo State University – UNESP
dc.format.extent1623-1637
dc.identifierhttp://dx.doi.org/10.1111/jerd.13300
dc.identifier.citationJournal of Esthetic and Restorative Dentistry, v. 36, n. 12, p. 1623-1637, 2024.
dc.identifier.doi10.1111/jerd.13300
dc.identifier.issn1708-8240
dc.identifier.issn1496-4155
dc.identifier.scopus2-s2.0-85201428132
dc.identifier.urihttps://hdl.handle.net/11449/307131
dc.language.isoeng
dc.relation.ispartofJournal of Esthetic and Restorative Dentistry
dc.sourceScopus
dc.subjectartificial intelligence
dc.subjectCAD/CAM
dc.subjectdental ceramics
dc.subjectdental color
dc.subjectdental technology
dc.subjectdigital dentistry
dc.titleIntroducing a novel approach to dental color reproduction using AI technologyen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0009-0002-8718-4502[1]
unesp.author.orcid0000-0002-9012-073X[2]
unesp.author.orcid0000-0001-7427-1565[4]

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