Deep Learning for Detecting Dental Plaque and Gingivitis From Oral Photographs: A Systematic Review.

Journal: Community dentistry and oral epidemiology
Published Date: Jun 26, 2025

Abstract

OBJECTIVES: This systematic review aimed to evaluate the performance of deep learning (DL) models in detecting dental plaque and gingivitis from red, green, and blue (RGB) intraoral photographs.

Authors

  • Mohammad Moharrami
    Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
  • Elaheh Vahab
    Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan, USA.
  • Mobina Bagherianlemraski
    Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, Ontario, Canada.
  • Ghazal Hemmati
    Dental Research Center, Research Institute of Dental Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Sonica Singhal
    Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
  • Carlos Quinonez
    Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
  • Falk Schwendicke
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.
  • Michael Glogauer
    Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.

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