Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions.

Journal: American journal of clinical pathology
Published Date:

Abstract

OBJECTIVES: This study evaluated the usefulness of artificial intelligence (AI) algorithms as tools in improving the accuracy of histologic classification of breast tissue.

Authors

  • António Polónia
    Laboratório de Anatomia Patológica, Ipatimup Diagnósticos, Rua Júlio Amaral de Carvalho, 45, 4200-135 Porto, Portugal.
  • Sofia Campelos
    Department of Pathology, Ipatimup Diagnostics, Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal.
  • Ana Ribeiro
    Department of Pathology, Centro Hospitalar de Vila Nova de Gaia / Espinho, EPE, Vila Nova de Gaia, Portugal.
  • Ierece Aymore
    Department of Pathology, Ipatimup Diagnostics, Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal.
  • Daniel Pinto
    Department of Pathology, Centro Hospitalar de Lisboa Ocidental, EPE, Lisboa, Portugal.
  • Magdalena Biskup-Fruzynska
    Department of Tumor Pathology, Maria Sklodowska-Curie National Research Institute of Oncology (MSCNRIO), Gliwice, Poland.
  • Ricardo Santana Veiga
    Department of Surgical Pathology, Hospital da Luz Lisboa, Lisboa, Portugal.
  • Rita Canas-Marques
    Pathology Service, Champalimaud Clinical Center, Lisboa, Portugal.
  • Guilherme Aresta
    Faculdade de Engenharia da Universidade do Porto (FEUP), R. Dr. Roberto Frias s/n, 4200-465 Porto, Portugal.
  • Teresa Araújo
    Faculdade de Engenharia da Universidade do Porto (FEUP), R. Dr. Roberto Frias s/n, 4200-465 Porto, Portugal.
  • Aurélio Campilho
    Faculdade de Engenharia da Universidade do Porto (FEUP), R. Dr. Roberto Frias s/n, 4200-465 Porto, Portugal.
  • Scotty Kwok
    Seek AI Limited, Hong Kong, China.
  • Paulo Aguiar
    Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Rua Alfredo Allen, 208, 4200-135 Porto, Portugal.
  • Catarina Eloy
    Laboratório de Anatomia Patológica, Ipatimup Diagnósticos, Rua Júlio Amaral de Carvalho, 45, 4200-135 Porto, Portugal.