Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence.

Journal: BMC oral health
Published Date: Apr 1, 2023

Abstract

BACKGROUND: The purpose of this study was to evaluate the accuracy of automatic cephalometric landmark localization and measurements using cephalometric analysis via artificial intelligence (AI) compared with computer-assisted manual analysis.

Authors

  • Han Bao
    Department of Computer Science, The University of Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Japan. Electronic address: tsutsumi@ms.k.u-tokyo.ac.jp.
  • Kejia Zhang
    Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, 210029, China.
  • Chenhao Yu
    Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
  • Hu Li
    School of Business, Qingdao University, Qingdao, Shandong, China.
  • Dan Cao
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Huazhong Shu
    Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China. shu.list@seu.edu.cn.
  • Luwei Liu
    Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, 210029, China. liuluwei_orth@njmu.edu.cn.
  • Bin Yan
    National Digital Switching System Engineering and Technological Research Centre, Zhengzhou, China.

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