AIMC Topic: Trigeminal Nerve Injuries

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Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

International journal of oral and maxillofacial surgery Mar 17, 2025
The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for automatic segmentation of the mandibular incisive canal (MIC) on cone beam computed tomography (CBCT), enabling prevention and detection of iatrogenic imp...
Humans Artificial Intelligence Female Aged Aged, 80 and over Male Middle Aged Cone-Beam Computed Tomography Imaging, Three-Dimensional Trigeminal Nerve Injuries Dental Implantation, Endosseous
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Risk assessment of inferior alveolar nerve injury after wisdom tooth removal using 3D AI-driven models: A within-patient study.

Journal of dentistry Oct 28, 2023
OBJECTIVE: To compare a three-dimensional (3D) artificial intelligence (AI)- driven model with panoramic radiography (PANO) and cone-beam computed tomography (CBCT) in assessing the risk of inferior alveolar nerve (IAN) injury after mandibular wisdom...
Humans Artificial Intelligence Risk Assessment Molar, Third Cone-Beam Computed Tomography Mandible Radiography, Panoramic Mandibular Nerve Tooth Extraction Trigeminal Nerve Injuries
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Automated detection of third molars and mandibular nerve by deep learning.

Scientific reports Jun 21, 2019
The approximity of the inferior alveolar nerve (IAN) to the roots of lower third molars (M3) is a risk factor for the occurrence of nerve damage and subsequent sensory disturbances of the lower lip and chin following the removal of third molars. To a...
Humans Reproducibility of Results Risk Factors Sensitivity and Specificity Deep Learning Molar, Third Radiography, Panoramic Mandibular Nerve Tooth Extraction Trigeminal Nerve Injuries Tooth, Impacted
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