Dental Second Look AI: Multipurpose tool for the analysis of panoramic dental images
Abstract
Dental health has become an important topic in digital health, as it not only impacts people’s lives but also reveals essential statistics about the health profile of the individuals analyzed, correlating oral information with population characteristics of interest. An automated tool is proposed for the analysis of panoramic dental images, presenting two main services: (i) the classification of oral diseases in patients, using a set of neural network models, to support dental decision-making; and (ii) the presentation of epidemiological data extracted from data and images to support decision-making in health management.
References
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José Andery Carneiro. Enhanced tooth segmentation algorithm for panoramic radiographs, 2023. (Master Thesis) Prog. de Computacão Aplicada da Universidade de São Paulo, Ribeirão Preto.
Eliana Dantas Costa, José Andery Carneiro, Breno Augusto Guerra Zancan, Hugo Gaêta-Araujo, Christiano Oliveira-Santos, Alessandra Alaniz Macedo, and Camila Tirapelli. Potential of artificial intelligence to generate health research reports of decayed, missed and restored teeth. Odovtos International Journal of Dental Sciences Vol 26, n1, 2024.
Ministério da Saúde. SB Brasil 2020. [link]. Último acesso em 12/3/2024.
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Breno Augusto Guerra Zancan. Teeth numbering and identification of decayed teeth in panoramic radiographs through convolutional neural networks, 2023. (Master Thesis) Programa de Computacão Aplicada da Universidade de São Paulo, campus Ribeirão Preto.
Published
2024-06-25
How to Cite
MARTINS, Caio Uehara; TIRAPELLI, Camila; MACEDO, Alessandra Alaniz.
Dental Second Look AI: Multipurpose tool for the analysis of panoramic dental images. In: TOOLS AND APPLICATIONS - BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTHCARE (SBCAS), 24. , 2024, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 133-138.
ISSN 2763-8987.
DOI: https://doi.org/10.5753/sbcas_estendido.2024.2258.
