A family-centered orthodontic screening approach using a machine learning-based mobile application.

Journal: Journal of dental sciences
Published Date: May 17, 2023

Abstract

BACKGROUND/PURPOSE: Skeletal orthodontic deformities can have functional and aesthetic consequences, making early detection critical. This study aimed to address the issue of parents bringing their children for routine orthodontic checkups after the ideal treatment age has passed. To address this, we developed a mobile application that uses machine-learning to make a preliminary diagnosis of skeletal malocclusion using just one photograph.

Authors

  • Banu Kılıç
    Bezmialem Vakif University, Istanbul, Turkey.
  • Ahmed Hassan İbrahim
    Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Selahattin Aksoy
    Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Mehmet Cihan Sakman
    Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Gül Sude Demircan
    Denmark Technical University, Copenhagen Denmark, Denmark.
  • Tuğba Önal-Süzek
    Muğla Sıtkı Koçman University, Muğla, Turkey.

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