Prediction of pulp exposure risk of carious pulpitis based on deep learning.

Journal: Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
PMID: 37056189

Abstract

OBJECTIVES: This study aims to predict the risk of deep caries exposure in radiographic images based on the convolutional neural network model, compare the prediction results of the network model with those of senior dentists, evaluate the performance of the model for teaching and training stomatological students and young dentists, and assist dentists to clarify treatment plans and conduct good doctor-patient communication before surgery.

Authors

  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Fei Wu
    Zhejiang University, 38 Zheda Road, Hangzhou 310058, Zhejiang, China.
  • Mo Xiao
    Dept. of Endodontics, Stomatological Hospital, Tianjin Medical University, Tianjin 300070, China.
  • Yu-Xin Chen
    Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
  • Ligeng Wu
    Dept. of Endodontics, Stomatological Hospital, Tianjin Medical University, Tianjin 300070, China.

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