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Article

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

by
Susana Santeiro-Hermida
1,
Manuel Fernández-Delgado
2,
Eva Cernadas
2,
Paz Otero-Casal
1 and
Mercedes Gallas-Torreira
1,*
1
Digital Dentistry Unit, Stomatology Area, Department of Surgery and Medical-Surgery Specialities, School of Dentistry, Faculty of Medicine and Odontology, Universidade de Santiago de Compostela, Rúa Entrerríos s/n, 15782 Santiago de Compostela, Spain
2
Centro Singular de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS), Universidade de Santiago de Compostela, Rúa Xenaro de la Fuente Domínguez, 15782 Santiago de Compostela, Spain
*
Author to whom correspondence should be addressed.
Diagnostics 2026, 16(4), 516; https://doi.org/10.3390/diagnostics16040516
Submission received: 30 November 2025 / Revised: 27 January 2026 / Accepted: 2 February 2026 / Published: 9 February 2026
(This article belongs to the Special Issue Imaging in Oral Diseases)

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
Keywords: artificial intelligence; oral radiology; third molar; panoramic radiography; machine learning; software artificial intelligence; oral radiology; third molar; panoramic radiography; machine learning; software

Share and Cite

MDPI and ACS Style

Santeiro-Hermida, S.; Fernández-Delgado, M.; Cernadas, E.; Otero-Casal, P.; Gallas-Torreira, M. Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp. Diagnostics 2026, 16, 516. https://doi.org/10.3390/diagnostics16040516

AMA Style

Santeiro-Hermida S, Fernández-Delgado M, Cernadas E, Otero-Casal P, Gallas-Torreira M. Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp. Diagnostics. 2026; 16(4):516. https://doi.org/10.3390/diagnostics16040516

Chicago/Turabian Style

Santeiro-Hermida, Susana, Manuel Fernández-Delgado, Eva Cernadas, Paz Otero-Casal, and Mercedes Gallas-Torreira. 2026. "Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp" Diagnostics 16, no. 4: 516. https://doi.org/10.3390/diagnostics16040516

APA Style

Santeiro-Hermida, S., Fernández-Delgado, M., Cernadas, E., Otero-Casal, P., & Gallas-Torreira, M. (2026). Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp. Diagnostics, 16(4), 516. https://doi.org/10.3390/diagnostics16040516

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