Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis.

Journal: Dento maxillo facial radiology
PMID: 39656957

Abstract

OBJECTIVES: Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging, complemented by radiographic evaluation, are vital. This systematic review (PROSPERO ID: CRD42023480552) explores artificial intelligence (AI) applications in assessing alveolar bone loss and periodontitis on dental panoramic and periapical radiographs.

Authors

  • Yahia H Khubrani
    School of Dentistry, Cardiff University, The Annexe, University Dental Hospital, Heath Park, Cardiff CF14 4XY, United Kingdom.
  • David Thomas
    School of Agriculture and Environment, Massey University, Palmerston North 4410, New Zealand.
  • Paddy J Slator
    University College London, UK.
  • Richard D White
    From the Department of Radiology, The Ohio State University Wexner Medical Center, 395 W 12th Ave, 4th Floor, Room 422, Columbus, OH 43210.
  • Damian J J Farnell
    School of Dentistry, Cardiff University, The Annexe, University Dental Hospital, Heath Park, Cardiff CF14 4XY, United Kingdom.

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