Automatic planning of dental treatment

  • Alexander Scaranti USP
  • Alessandra A. Macedo USP
DOI: https://doi.org/10.5753/webmedia_estendido.2025.16360

Abstract


Limited access, inequality in the distribution of dentists, and diagnostic failures compromise oral health in Brazil. This study developed a method and a clinical decision support system integrating deep neural networks and decision logic to assist in dental treatment planning. The automatic systematization of procedures such as dental treatment planning can provide support to professionals and their formal education.

Keywords: Inteligência Artificial, Planejamento Odontológico, CNN, Raio-X

References

Instituto Brasileiro de Geografia e Estatística (IBGE). 2020. Saúde bucal: 11% da população brasileira nunca foi ao dentista. [link] Acesso em: 18 ago. 2025.

Conselho Federal de Odontologia (CFO). 2023. A relação entre dentistas e população no Brasil: proporção de 1,95 dentistas para cada 1 000 habitantes. [link] Acesso em: 18 ago. 2025.

Alexander Scaranti. 2025. Planejamento automático de tratamento odontológico. Dissertação de Mestrado Universidade de São Paulo - USP (2025).

Falk Schwendicke, Joachim Krois, and Juan A. Gomez Rossi. 2020. Underscreening and undertreatment? Periodontal service provision in the very old: an insurance database analysis from northeast Germany. Clinical Oral Investigations 24, 12 (2020), 3981–3995. DOI: 10.1007/s00784-020-03591-z
Published
2025-11-10
How to Cite

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SCARANTI, Alexander; MACEDO, Alessandra A.. Automatic planning of dental treatment. In: THESIS AND DISSERTATION CONTEST - BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 31. , 2025, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 7-8. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2025.16360.