Advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with teledentistry for enhanced patient outcomes.

Journal: Oral oncology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Lucas Alves da Mota Santana
    Department of Dentistry, Federal University of Sergipe (UFS), Aracaju, Sergipe, Brazil.
  • Lara Góis Floresta
    School of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
  • Êmilly Victória Maciel Alves
    Department of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
  • Lucas Morais Rodrigues Melo
    School of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
  • Rammom Rocha Tavares Ferreira
    School of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
  • Graziane Ribeiro Couto
    School of Dentistry, Federal University of Sergipe (UFS), Aracaju, SE, Brazil.
  • José Alcides Almeida de Arruda
    Department of Oral Diagnosis and Pathology, School of Dentistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Carolina Vieira Valadares
    School of Dentistry, Tiradentes University (UNIT), Aracaju, SE, Brazil.
  • Gina Delia Roque-Torres
    Center for Dental Research, School of Dentistry, Loma Linda University, Loma Linda, CA, USA.
  • Gilmagno Amado Santos
    NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal.
  • Rajiv Gandhi Gopalsamy
    Division of Phytochemistry and Drug Design, Department of Biosciences, Rajagiri College of Social Sciences, Kochi, Kerala, India.
  • Paulo Ricardo Martins-Filho
    Investigative Pathology Laboratory, Federal University of Sergipe (UFS), Rua Cláudio Batista, s/n, Santo Antônio, 49060100 Aracaju, SE, Brazil. Electronic address: prmartinsfh@gmail.com.
  • Lysandro Pinto Borges
    Department of Pharmacy, Federal University of Sergipe (UFS), Aracaju, Sergipe, Brazil.