Artificial intelligence as a prediction tool for orthognathic surgery assessment.

Journal: Orthodontics & craniofacial research
PMID: 38715428

Abstract

INTRODUCTION: An ideal orthodontic treatment involves qualitative and quantitative measurements of dental and skeletal components to evaluate patients' discrepancies, such as facial, occlusal, and functional characteristics. Deciding between orthodontics and orthognathic surgery remains challenging, especially in borderline patients. Advances in technology are aiding clinical decisions in orthodontics. The increasing availability of data and the era of big data enable the use of artificial intelligence to guide clinicians' diagnoses. This study aims to test the capacity of different machine learning (ML) models to predict whether orthognathic surgery or orthodontics treatment is required, using soft and hard tissue cephalometric values.

Authors

  • Pedro Henrique José de Oliveira
    Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil.
  • Tengfei Li
    University of North Carolina, Chapel Hill, NC, USA.
  • Haoyue Li
    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110004, China.
  • João Roberto Gonçalves
    São Paulo State University (UNESP), Department of Pediatric Dentistry, School of Dentistry, Araraquara, SP, 14801-385, Brazil.
  • Ary Santos-Pinto
    Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil.
  • Luiz Gonzaga Gandini Junior
    Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil.
  • Lucia Soares Cevidanes
    Department of Orthodontics and Pediatric Dentistry, University of Michigan, Ann Arbor, Michigan, USA.
  • Claudia Toyama
    Private practice, São Paulo, São Paulo, Brazil.
  • Guilherme Paladini Feltrin
    Private practice, Maringá, São Paulo, Brazil.
  • Antonio Augusto Campanha
    Private practice, Campinas, São Paulo, Brazil.
  • Melchiades Alves de Oliveira Junior
    Private practice, Campinas, São Paulo, Brazil.
  • Jonas Bianchi
    University of Michigan, Ann Arbor, MI, USA.

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