Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs.

Journal: BMC oral health
Published Date: Jan 17, 2023

Abstract

BACKGROUND: It is difficult for orthodontists to accurately predict the growth trend of the mandible in children with anterior crossbite. This study aims to develop a deep learning model to automatically predict the mandibular growth result into normal or overdeveloped using cephalometric radiographs.

Authors

  • Jia-Nan Zhang
  • Hai-Ping Lu
    Department of Orthodontics, College of Stomatology, Zhejiang Chinese Medical University, 548# Binwen Road, Hangzhou, China.
  • Jia Hou
    State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, Department of Pathology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533099, China.
  • Qiong Wang
    Beijing Meiling Biotechnology Corporation, Beijing, 102600, PR China.
  • Feng-Yang Yu
    Center of Orthodontics, Perfect Dental Care, 108# Xintang Road, Hangzhou, China.
  • Chong Zhong
    Center of Orthodontics, Perfect Dental Care, 108# Xintang Road, Hangzhou, China.
  • Cheng-Yi Huang
    Center of Orthodontics, Department of Dentistry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# Qingchundong Road, Hangzhou, China.
  • Si Chen
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

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