Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?

Journal: BMC oral health
PMID: 37422630

Abstract

BACKGROUND: To evaluate the techniques used for the automatic digitization of cephalograms using artificial intelligence algorithms, highlighting the strengths and weaknesses of each one and reviewing the percentage of success in localizing each cephalometric point.

Authors

  • Huayu Ye
    Department of Orthodontics, Stomatological Hospital of Chongqing Medical University, 426#, Songshi North Road, Yubei District, Chongqing, 401147, PR China.
  • Zixuan Cheng
    Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou 510180, China.
  • Nicha Ungvijanpunya
    Faculty of Dentistry, Chulalongkorn University, 34 Henri Dunant Road, Pathumwan, Bangkok, 10330, Thailand.
  • Wenjing Chen
  • Li Cao
  • Yongchao Gou
    Department of Orthodontics, Stomatological Hospital of Chongqing Medical University, 426#, Songshi North Road, Yubei District, Chongqing, 401147, PR China. 501294@hospital.cqmu.edu.cn.

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