Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms.

Journal: Biomedical engineering online
PMID: 39905405

Abstract

BACKGROUND: Malocclusion, characterized by dental misalignment and improper occlusal relationships, significantly impacts oral health and daily functioning, with a global prevalence of 56%. Lateral cephalogram is a crucial diagnostic tool in orthodontic treatment, providing insights into various structural characteristics.

Authors

  • Qiao Chang
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.
  • Yuxing Bai
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100050, China.
  • Shaofeng Wang
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.
  • Fan Wang
    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
  • Shuang Liang
  • Xianju Xie
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.

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