Applications of artificial intelligence in dentistry: A comprehensive review
Metadatos
Mostrar el registro completo del ítemAutor
Carrillo Pérez, Francisco; Morales Vega, Juan Carlos; Ghinea, Razvan Ionut; Pulgar Encinas, Rosa María; Pérez Gómez, María Del Mar; Herrera Maldonado, Luis JavierEditorial
Wiley-Blackwell Publishing
Materia
Artificial intelligence Deep learning Dentistry Machine learning
Fecha
2021-11-29Referencia bibliográfica
Carrillo-Perez, F... [et al.]. Applications of artificial intelligence in dentistry: A comprehensive review. J Esthet Restor Dent. 2021; 1- 22. doi:[10.1111/jerd.12844]
Patrocinador
Spanish Ministry of Sciences, Innovation and Universities RTI2018-101674-B-I00 PGC2018-101904-A-100; University of Granada project A.TEP. 280.UGR18; Junta de Andalucia P20-00200; Fapergs/Capes do Brasil grant 19/25510000928-3; Universidad de Granada/CBUAResumen
Objective: To perform a comprehensive review of the use of artificial intelligence
(AI) and machine learning (ML) in dentistry, providing the community with a broad
insight on the different advances that these technologies and tools have produced,
paying special attention to the area of esthetic dentistry and color research.
Materials and methods: The comprehensive review was conducted in MEDLINE/
PubMed, Web of Science, and Scopus databases, for papers published in English language
in the last 20 years.
Results: Out of 3871 eligible papers, 120 were included for final appraisal. Study
methodologies included deep learning (DL; n = 76), fuzzy logic (FL; n = 12), and other
ML techniques (n = 32), which were mainly applied to disease identification, image
segmentation, image correction, and biomimetic color analysis and modeling.
Conclusions: The insight provided by the present work has reported outstanding
results in the design of high-performance decision support systems for the aforementioned
areas. The future of digital dentistry goes through the design of integrated
approaches providing personalized treatments to patients. In addition, esthetic dentistry
can benefit from those advances by developing models allowing a complete
characterization of tooth color, enhancing the accuracy of dental restorations.
Clinical significance: The use of AI and ML has an increasing impact on the dental
profession and is complementing the development of digital technologies and tools,
with a wide application in treatment planning and esthetic dentistry procedures.