Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review.

Journal: BMC oral health
PMID: 40055718

Abstract

OBJECTIVE: The aim of this review was to evaluate the accuracy of artificial intelligence (AI) in the segmentation of teeth, jawbone (maxilla, mandible with temporomandibular joint), and mandibular (inferior alveolar) canal in CBCT and CT scans.

Authors

  • Manea Alahmari
    College of Dentistry, King Khalid University, Abha, Saudi Arabia.
  • Maram Alahmari
    Armed Forces Hospital Southern Region, Khamis Mushait, Saudi Arabia.
  • Abdulmajeed Almuaddi
    College of Dentistry, King Khalid University, Abha, Saudi Arabia.
  • Hossam Abdelmagyd
    College of Dentistry, Suez Canal University, Ajman, United Arab Emirates.
  • Kumuda Rao
    AB Shetty Memorial Institute of Dental Sciences, Nitte (Deemed to be University), Mangalore, India.
  • Zaid Hamdoon
  • Mohammed Alsaegh
    Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
  • Nallan C S K Chaitanya
    College of Dental Sciences, RAK Medical and Health Sciences University, Ras-Al-Khaimah, United Arab Emirates.
  • Shishir Shetty
    National Institute for Health Research Birmingham Liver Biomedical Research Unit and Centre for Liver and Gastrointestinal Research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom.

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