Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs

The YOLOv12x PE model offers a reliable and sensitive tool for detecting varying degrees of root resorption on panoramic radiographs. Its fine-grained anatomical localization capabilities provide an advantage for early diagnosis, making it a promising approach for clinical decision support in orthodontics.

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Publication Details

Journal
Progress in Orthodontics
Published
2026-02-26
DOI
https://doi.org/10.1186/s40510-026-00610-9
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
Field-Weighted Citation Impact
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article

Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs

Samet Özden, Betül Kula, Mahmut Tankuş
Progress in Orthodontics
Orthodontics and Dentofacial Orthopedics
article

Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs

Samet Özden, Betül Kula, Mahmut Tankuş
article en

Abstract

The YOLOv12x PE model offers a reliable and sensitive tool for detecting varying degrees of root resorption on panoramic radiographs. Its fine-grained anatomical localization capabilities provide an advantage for early diagnosis, making it a promising approach for clinical decision support in orthodontics.

Progress in OrthodonticsVol. 27(1)
Inonu University (TR), İstanbul Galata Üniversitesi, Harran University (TR), Galatasaray University (TR)
Openalex Percentile: Top 44%
Orthodontics and Dentofacial Orthopedics
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