Application of deep machine learning for the radiographic diagnosis of periodontitis.

Journal: Clinical oral investigations
PMID:

Abstract

OBJECTIVE: Successful application of deep machine learning could reduce time-consuming and labor-intensive clinical work of calculating the amount of radiographic bone loss (RBL) in diagnosing and treatment planning for periodontitis. This study aimed to test the accuracy of RBL classification by machine learning.

Authors

  • Jennifer Chang
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA. Jennifer.chang@uth.tmc.edu.
  • Ming-Feng Chang
    Institute of Computational Intelligence, National Yangming Chiaotung University, Taipei, Taiwan.
  • Nikola Angelov
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
  • Chih-Yu Hsu
    Institute of Computational Intelligence, National Yangming Chiaotung University, Taipei, Taiwan.
  • Hsiu-Wan Meng
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Sally Sheng
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Aaron Glick
    Department of General Practice and Dental Public Health, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
  • Kearny Chang
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
  • Yun-Ru He
    Institute of Computational Intelligence, National Yangming Chiaotung University, Taipei, Taiwan.
  • Yi-Bing Lin
    Institute of Computational Intelligence, National Yangming Chiaotung University, Taipei, Taiwan.
  • Bing-Yan Wang
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
  • Srinivas Ayilavarapu
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.