Artificial intelligence in healthcare applications targeting cancer diagnosis-part II: interpreting the model outputs and spotlighting the performance metrics.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Jan 15, 2025

Abstract

BACKGROUND: The lack of standardized performance assessment metrics and the inconsistent reporting of results can lead to the presentation of overly optimistic outcomes that fail to accurately represent key aspects of the Machine Learning framework and may not align with real-world clinical needs.

Authors

  • Anna Luíza Damaceno Araújo
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Marcelo Sperandio
    Faculdade São Leopoldo Mandic, Campinas, São Paulo, Brazil.
  • Giovanna Calabrese
    Institute of Science and Technology (ICT-UNIFESP), Federal University of São Paulo, São José dos Campos, São Paulo, Brazil.
  • Sarah S Faria
    Institute of Science and Technology (ICT-UNIFESP), Federal University of São Paulo, São José dos Campos, São Paulo, Brazil.
  • Diego Armando Cardona Cardenas
    Institute of Science and Technology (ICT-UNIFESP), Federal University of São Paulo, São José dos Campos, São Paulo, Brazil; Heart Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil.
  • Manoela Domingues Martins
    Department of Oral Pathology, School of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
  • Pablo Agustin Vargas
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Márcio Ajudarte Lopes
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
  • Alan Roger Santos-Silva
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
  • Luiz Paulo Kowalski
    Department of Head and Neck Surgery and Otorhinolaryngology, AC Camargo Cancer Center, Sao Paulo, Brazil.
  • Matheus Cardoso Moraes
    Institute of Science and Technology, Federal University of São Paulo (ICT-Unifesp), São José dos Campos, São Paulo, Brazil.

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