Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches.

Journal: Frontiers in dental medicine
Published Date: May 20, 2025

Abstract

BACKGROUND: Third molar extraction, a common dental procedure, often involves complications, such as alveolar nerve injury. Accurate preoperative assessment of the extraction difficulty and nerve injury risk is crucial for better surgical planning and patient outcomes. Recent advancements in deep learning (DL) have shown the potential to enhance the predictive accuracy using panoramic radiographic (PR) images. This systematic review evaluated the accuracy and reliability of DL models for predicting third molar extraction difficulty and inferior alveolar nerve (IAN) injury risk.

Authors

  • Hamza Al Salieti
    Faculty of Dentistry, Applied Science Private University, Amman, Jordan.
  • Hanan M Qasem
    Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan. Electronic address: hmqasem22@den.just.edu.jo.
  • Sakhr Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Noor Almasri
    Faculty of Medicine, University of Jordan, Amman, Jordan.
  • Mustafa Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Amira A Aboali
    Faculty of Medicine, Alexandria University, Alexandria, Egypt.
  • Farah Alsarayrah
    Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan.
  • Lina Khasawneh
    Department of Prosthodontics, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan. Electronic address: lwkhasawnh@just.edu.jo.
  • Mohammed Al-Mahdi Al-Kurdi
    Faculty of Medicine, University of Aleppo, Aleppo, Syrian Arab Republic.

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