Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp

TL;DR

This paper introduces PDApp, an AI tool that accurately predicts the eruption of lower third molars using panoramic radiographs.

Contribution

The novel contribution is the development and validation of PDApp for preoperative third molar eruption prediction.

Findings

PDApp was trained and validated using 383 panoramic radiographies of mandibular third molars.

The software achieved the highest performance metrics for eruption prediction compared to clinical methods.

Abstract

Background/Objective: Preoperative prediction of third molar eruption with artificial intelligence (AI) has been a challenge in dentistry and oral surgery. Methods: In this investigation, we used machine learning (ML) algorithms to characterize M3 panoramic radiological images for the preoperative differential diagnosis of third nolar eruption/retention and compared them with clibical explorations to validate their performance. Results: We retrospectively collected data of patients with mandibular thid molar retention, where all eruption diagnoses were confirmed via clinical exploration. A total of 383 panoramic radiographies were selected to train the PDApp software for eruption diagnosis for the software validation. Conclusions: The PDApp software achieved the highest performance metrics for the prediction of mandibular third molar eruption

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