AI-powered segmentation of bifid mandibular canals using CBCT.

Journal: BMC oral health
Published Date: Jun 4, 2025

Abstract

OBJECTIVE: Accurate segmentation of the mandibular and bifid canals is crucial in dental implant planning to ensure safe implant placement, third molar extractions and other surgical interventions. The objective of this study is to develop and validate an innovative artificial intelligence tool for the efficient, and accurate segmentation of the mandibular and bifid canals on CBCT.

Authors

  • Ismail Gumussoy
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Sakarya University, Mithatpaşa Mah. Adnan Menderes Cad. No:122/B, Adapazarı, Sakarya, 54100, Turkey.
  • Kardelen Demirezer
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University, Malatya, Turkey.
  • Şuayip Burak Duman
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University Malatya, Malatya, Turkey. suayipburakduman@gmail.com.
  • Emre Haylaz
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Sakarya University, Mithatpaşa Mah. Adnan Menderes Cad. No:122/B, Adapazarı, Sakarya, 54100, Turkey. emrehylz03@gmail.com.
  • İbrahim Şevki Bayrakdar
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Özer Çelik
    Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Ali Zakir Syed
    Department of Oral and Maxillofacial Medicine and Diagnostic Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, OH, USA.

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