An Artificial Intelligence Solution for Automated Dental Inspection and Charting.

Journal: International dental journal
Published Date:

Abstract

BACKGROUND: Visual inspection and documentation (charting) of findings are critical components in dental practice. However, manual charting is tedious, time consuming, and prone to errors. Attempts to automate charting using AI have focused on computer vision of radiographs, which does not replace visual inspection and has limitations in community screening settings. We aim to develop a deep-learning-based real-time charting using intra-oral videos. This study encompasses tooth identification, the initial phase of our development process.

Authors

  • M A Moufti
    College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates; Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
  • M Abu Talib
    College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates. Electronic address: mtalib@sharjah.ac.ae.
  • S Al Mokdad
    College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates.
  • A Alhouria
    College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates.
  • M Alsaffarini
    College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
  • N Almahmeed
    College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
  • S Eldessouky
    College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
  • W Kharoufah
    College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
  • Q Nasir
    College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates.