Evaluation of an artificial intelligence-based model in diagnosing periodontal radiographic bone loss.

Journal: Clinical oral investigations
PMID:

Abstract

OBJECTIVE: To develop an artificial intelligence model based on convolutional neural network for detecting and measuring periodontal radiographic bone loss (RBL).

Authors

  • Luanny de Brito Avelino Cassiano
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Jordão Paulino Cassiano da Silva
    Postgraduate Program in Electrical and Computer Engineering, Center of Technology, Natal, Rio Grande do Norte, Brazil.
  • Agnes Andrade Martins
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Matheus Targino Barbosa
    Postgraduate Program in Electrical and Computer Engineering, Center of Technology, Natal, Rio Grande do Norte, Brazil.
  • Katryne Targino Rodrigues
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Ádylla Rominne Lima Barbosa
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Gabriela Ellen da Silva Gomes
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Paulo Raphael Leite Maia
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Patrícia Teixeira de Oliveira
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Maria Luiza Diniz de Sousa Lopes
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Ivanovitch Medeiros Dantas da Silva
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil.
  • Ana Rafaela Luz de Aquino Martins
    Department of Dentistry, Federal University of Rio Grande do Norte - UFRN, Rio Grande do Norte, Natal, Brazil. anarafaela.luz@terra.com.br.