Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach.

Journal: Journal of stomatology, oral and maxillofacial surgery
Published Date: Sep 1, 2024

Abstract

OBJECTIVE: The aim of this study is to determine if a deep learning (DL) model can predict the surgical difficulty for impacted maxillary third molar tooth using panoramic images before surgery.

Authors

  • Damla Torul
    Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ordu University, Ordu 52200, Turkey. Electronic address: damlatorul@gmail.com.
  • Hasan Akpinar
    Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Afyonkarahisar Health Sciences University, Afyon, Turkey.
  • 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.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.

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