A unique AI-based tool for automated segmentation of pulp cavity structures in maxillary premolars on CBCT

A unique AI-based tool for automated segmentation of pulp cavity structures in maxillary premolars on CBCT

Abstract To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation of pulp cavity structures in maxillary premolars teeth on cone-beam computed tomography (CBCT). One hundred and eleven CBCT scans were divided into training (n = 55), validation (n = 14), and...

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Bibliographic Details
Main Authors: Airton Oliveira Santos-Junior, Rocharles Cavalcante Fontenele, Frederico Sampaio Neves, Saleem Ali, Reinhilde Jacobs, Mário Tanomaru-Filho
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Cone-beam computed tomography
Endodontics
Premolars
3-D Imaging
Online Access:https://doi.org/10.1038/s41598-025-86203-8

Internet

https://doi.org/10.1038/s41598-025-86203-8

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