Performance of artificial intelligence in evaluating maxillary sinus mucosal alterations in imaging examinations: systematic review.

Journal: Dento maxillo facial radiology
Published Date:

Abstract

OBJECTIVES: This systematic review aimed to assess the performance of artificial intelligence (AI) in the evaluation of maxillary sinus mucosal alterations in imaging examinations compared to human analysis.

Authors

  • Gabrielle Cristiny Moreira
    Applied Health Sciences Post-Graduate Program, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares Campus, Governador Valadares, MG, 35010-180, Brazil.
  • Camilla Sthéfany do Carmo Ribeiro
    Applied Health Sciences Post-Graduate Program, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares Campus, Governador Valadares, MG, 35010-180, Brazil.
  • Francielle Silvestre Verner
    Department of Dentistry, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares Campus, Governador Valadares, MG, 35010-180, Brazil.
  • Cleidiel Aparecido Araujo Lemos
    Department of Dentistry, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares Campus, Governador Valadares, MG, 35010-180, Brazil.