Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically-a retrospective study.

Journal: BMC oral health
PMID: 36100856

Abstract

BACKGROUND: The purpose of this investigation was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the accuracy and usefulness of this system for the detection of alveolar bone loss in periapical radiographs in the anterior region of the dental arches. We also aimed to evaluate the usefulness of the system in categorizing the severity of bone loss due to periodontal disease.

Authors

  • Ghala Alotaibi
    College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  • Mohammed Awawdeh
    College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  • Fathima Fazrina Farook
    College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. fazrinaf@ksau-hs.edu.sa.
  • Mohamed Aljohani
    Department of Oral Maxillofacial Radiology, King Saud University, Riyadh, Saudi Arabia.
  • Razan Mohamed Aldhafiri
    College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  • Mohamed Aldhoayan
    King Abdullah International Medical Research Centre, Riyadh, Saudi Arabia.

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