Introducing a novel approach to dental color reproduction using AI technology
| dc.contributor.author | Awdaljan, Marat Wartanovic | |
| dc.contributor.author | Roque, João Carlos | |
| dc.contributor.author | Choi, James | |
| dc.contributor.author | Rondón, Luis Felipe [UNESP] | |
| dc.contributor.institution | Labmatisse BV | |
| dc.contributor.institution | Universidade de Lisboa | |
| dc.contributor.institution | Private Dental Laboratory | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.date.accessioned | 2025-04-29T20:08:33Z | |
| dc.date.issued | 2024-12-01 | |
| dc.description.abstract | Objective: 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.affiliation | Labmatisse BV | |
| dc.description.affiliation | Biomaterials Group (BIOMAT) Biomedical and Oral Sciences Research Unit (UICOB) Faculdade de Medicina Dentária Universidade de Lisboa | |
| dc.description.affiliation | Maven Dental Studio Private Dental Laboratory | |
| dc.description.affiliation | Department of Restorative Dentistry Dental School São Paulo State University – UNESP | |
| dc.description.affiliationUnesp | Department of Restorative Dentistry Dental School São Paulo State University – UNESP | |
| dc.format.extent | 1623-1637 | |
| dc.identifier | http://dx.doi.org/10.1111/jerd.13300 | |
| dc.identifier.citation | Journal of Esthetic and Restorative Dentistry, v. 36, n. 12, p. 1623-1637, 2024. | |
| dc.identifier.doi | 10.1111/jerd.13300 | |
| dc.identifier.issn | 1708-8240 | |
| dc.identifier.issn | 1496-4155 | |
| dc.identifier.scopus | 2-s2.0-85201428132 | |
| dc.identifier.uri | https://hdl.handle.net/11449/307131 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Esthetic and Restorative Dentistry | |
| dc.source | Scopus | |
| dc.subject | artificial intelligence | |
| dc.subject | CAD/CAM | |
| dc.subject | dental ceramics | |
| dc.subject | dental color | |
| dc.subject | dental technology | |
| dc.subject | digital dentistry | |
| dc.title | Introducing a novel approach to dental color reproduction using AI technology | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0009-0002-8718-4502[1] | |
| unesp.author.orcid | 0000-0002-9012-073X[2] | |
| unesp.author.orcid | 0000-0001-7427-1565[4] |

