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February 11, 2026International Dental Journal6 citationsOpen Access

Dual Framework for Classification and Detection of Third Molar Impaction in Panoramic Radiographs

ZKZohaib KhurshidChulalongkorn University MAMousa Haney AlsleemKing Faisal University FAFahad Ahmed AljubairahKing Faisal University

Key Points

To develop frameworks for the classification and detection of third molar impactions using panoramic radiographs.
Developed dual frameworks for multiclass assessment.
Employed artificial intelligence techniques for detection and classification.
Evaluated performance using F1-score metrics for accuracy.
Achieved high diagnostic performance for detecting third molar impactions.
Provided reliable real-time detection capabilities.
Enhanced preoperative risk stratification in oral and maxillofacial surgery.

Abstract

The proposed frameworks enable accurate and automated multiclass assessment of third molar impactions, achieving high diagnostic performance while preserving computational efficiency suitable for clinical deployment. This work advances artificial intelligence-assisted surgical planning by providing reliable F1-score-based evaluation, reliable real-time detection, and enhanced preoperative risk stratification in oral and maxillofacial surgery.

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Cite This Study

Khurshid et al. (Mon,) studied this question.

synapsesocial.com/papers/698c1c65267fb587c655ed79 https://doi.org/https://doi.org/10.1016/j.identj.2026.109430

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