Automated assessment of periapical health based on the radiographic periapical index using YOLOv8, YOLOv11, and YOLOv12 one-stage object detection algorithms

Abstract This study investigates the application of recent YOLO (You Only Look Once) algorithms for automated detection and classification of apical periodontitis using the Periapical Index (PAI) scoring system (1–5). A dataset of 699 digital periapical radiographs was collected from diverse sources...

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Detalles Bibliográficos

Principais autores:	Shehabeldin Saber, Hend Abou El Nasr, Ahmed A. Torky, Nora Saif
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-10-01
Series:	Scientific Reports
Assuntos:	Apical periodontitis Periapical index Artificial intelligence Deep learning Computer vision YOLO
Acceso en liña:	https://doi.org/10.1038/s41598-025-21761-5
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