Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Journal: Acta cytologica
PMID: 39900009

Abstract

INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytopathology is a cellular analysis model for evaluating cellular damage preceding the clinical appearance of OSCC, but it requires training and has diagnostic limitations, due to its subjective aspect. Artificial intelligence (AI) shows potential to enhance the interpretation of cytological images, reducing working time and subjectivity.

Authors

  • Igor Cavalcante Guedes
    Pathology Department, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, igorcavalcanteguedes@gmail.com.
  • Ana Laura Ferrares Espinosa
    Pathology Department, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Tatiana Wannmacher Lepper
    Pathology Department, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Maikel Maciel Rönnau
    Institute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Natália Batista Daroit
    Pathology Department, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Manuel M Oliveira
    Institute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Pantelis Varvaki Rados
    Pathology Department, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.

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