Assessment of accuracy and reproducibility of cephalometric identification performed by 2 artificial intelligence-driven tracing applications and human examiners.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
PMID:

Abstract

OBJECTIVE: To assess the accuracy and reproducibility of cephalometric landmark identification performed by 2 artificial intelligence (AI)-driven applications (CefBot and WebCeph) and human examiners.

Authors

  • Thaísa Pinheiro Silva
    Departament of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brasil.
  • Maria Clara Rodrigues Pinheiro
    Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Sao Paulo, Brazil.
  • Deborah Queiroz Freitas
    Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
  • Hugo Gaêta-Araujo
    Department of Stomatology, Public Health and Forensic Dentistry, Division of Oral Radiology, School of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Christiano Oliveira-Santos
    Department of Diagnosis and Oral Health, University of Louisville School of Dentistry, Louisville, United States.