Artificial intelligence system for automated landmark localization and analysis of cephalometry.

Journal: Dento maxillo facial radiology
Published Date: Nov 16, 2022

Abstract

OBJECTIVES: Cephalometric analysis is essential for diagnosis, treatment planning and outcome assessment of orthodontics and orthognathic surgery. Utilizing artificial intelligence (AI) to achieve automated landmark localization has proved feasible and convenient. However, current systems remain insufficient for clinical application, as patients exhibit various malocclusions in cephalograms produced by different manufacturers while limited cephalograms were applied to train AI in these systems.

Authors

  • Fulin Jiang
  • Yutong Guo
    Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Cai Yang
    Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Yimei Zhou
    Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Yucheng Lin
    The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China.
  • Fangyuan Cheng
    Chengdu Boltzmann Intelligence Technology Co., Ltd, Chengdu, China.
  • Shuqi Quan
    Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Qingchen Feng
    Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Juan Li
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.

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