Comparison Between an Expert Operator an Inexperienced Operator, and Artificial Intelligence Software: A Brief Clinical Study of Cephalometric Diagnostic.

Journal: The Journal of craniofacial surgery
PMID: 38830014

Abstract

INTRODUCTION: Artificial intelligence (AI) is constantly developing in several medical areas and has become useful to assist with treatment planning. Orthodontics and maxillofacial surgery use AI-based technology to identify and select cephalometric points for diagnostics. Although some studies have shown promising results from the use of AI, the evidence is still limited. Hence, additional investigation is justified.

Authors

  • Gonzalo Muñoz
    Doctoral Program in Morphological Sciences, Universidad de La Frontera.
  • Daniel Zamora
    Undergraduate Dentistry Program, Department of pedriatric dentistry and orthodontics, faculty of dentistry, Universidad de La Frontera, Temuco, Chile.
  • Leonardo Brito
    Undergraduate Dentistry Research Group (GIPO), Faculty of Health Sciences (FACSA), Universidad Autónoma de Chile.
  • Victor Ravelo
    Doctoral Program in Morphological Sciences, Universidad de La Frontera.
  • Marcio de Moraes
    Division of Oral and Maxillofacial Surgery, Piracicaba Dental School, State University of Campinas, SP, Brazil.
  • Sergio Olate
    CEMyQ, Center of Excellence in Morphological and Surgical Studies, Universidad de La Frontera.

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