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

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Bibliographic Details
Title: Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches.
Authors: Al Salieti H; Faculty of Dentistry, Applied Science Private University, Amman, Jordan., Qasem HM; Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan., Alshwayyat S; Research Associate, King Hussein Cancer Center, Amman, Jordan.; Internship, Princess Basma Teaching Hospital, Irbid, Jordan.; Applied Science Research Center, Applied Science Private University, Amman, Jordan., Almasri N; Faculty of Medicine, University of Jordan, Amman, Jordan., Alshwayyat M; Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan., Aboali AA; Faculty of Medicine, Alexandria University, Alexandria, Egypt., Alsarayrah F; Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan., Khasawneh L; Department of Prosthodontics, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan., Al-Kurdi MA; Faculty of Medicine, University of Aleppo, Aleppo, Syrian Arab Republic.
Source: Frontiers in dental medicine [Front Dent Med] 2025 May 20; Vol. 6, pp. 1534406. Date of Electronic Publication: 2025 May 20 (Print Publication: 2025).
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101777956 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-4915 (Electronic) Linking ISSN: 26734915 NLM ISO Abbreviation: Front Dent Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-4915
DOI:10.3389/fdmed.2025.1534406