Establishing a novel deep learning model for detecting peri-implantiti.

Journal: Journal of dental sciences
Published Date:

Abstract

BACKGROUND/PURPOSE: The diagnosis of peri-implantitis using periapical radiographs is crucial. Recently, artificial intelligence may apply in radiographic image analysis effectively. The aim of this study was to differentiate the degree of marginal bone loss of an implant, and also to classify the severity of peri-implantitis using a deep learning model.

Authors

  • Wei-Fang Lee
    School of Dentistry, Taipei Medical University, Taipei, Taiwan.
  • Min-Yuh Day
    Institute of Information Management, National Taipei University, New Taipei City, Taiwan.
  • Chih-Yuan Fang
    School of Dentistry, Taipei Medical University, Taipei, Taiwan.
  • Vidhya Nataraj
    Institute of Information Management, National Taipei University, New Taipei City, Taiwan.
  • Shih-Cheng Wen
    School of Dentistry, Taipei Medical University, Taipei, Taiwan.
  • Wei-Jen Chang
    School of Dentistry, Taipei Medical University, Taipei, Taiwan.
  • Nai-Chia Teng
    School of Dentistry, Taipei Medical University, Taipei, Taiwan.

Keywords

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