Artificial intelligence-assisted identification and assessment of mandibular asymmetry on panoramic radiography.

Journal: American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
Published Date: Mar 6, 2025

Abstract

INTRODUCTION: Mandibular symmetry is crucial in orthodontic diagnosis and treatment planning. This study aimed to establish an artificial intelligence (AI) method to automatically and accurately identify mandibular landmarks and assess asymmetry via orthopantomography (OPG) radiographs.

Authors

  • Wanting Qu
    Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Zelin Qiu
    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Kwong Chuen Lam
    Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Koshla Guna Sakaran
    Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Yifan Lin
    Hubei Hongshan Laboratory, No. 1 Shizishan Road, Hongshan District, Wuhan, Hubei 430070, China.

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