Artificial intelligence-based detection of dens invaginatus in panoramic radiographs.

Journal: BMC oral health

Published Date: Jun 5, 2025

Abstract

OBJECTIVE: The aim of this study was to automatically detect teeth with dens invaginatus (DI) in panoramic radiographs using deep learning algorithms and to compare the success of the algorithms.

Authors

Ayse Hanne Sarı

Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Beyşehir Avenue, Bağlarbaşı Street, 42090, Meram/Konya, Turkey.
Hasan Sarı

Software Engineer in Private Practice, İstanbul, Turkey.
Guldane Magat

Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Necmettin Erbakan University, Konya, Türkiye. gul_dent@hotmail.com.

Keywords

Algorithms Artificial Intelligence Deep Learning Dens in Dente Humans Radiography, Panoramic Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (40474238)

Artificial intelligence-based detection of dens invaginatus in panoramic radiographs.

Abstract

Authors

Keywords

External Resources

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