Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images

Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images

Abstract Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an intelligent detection model for OIERR ba...

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Bibliographic Details
Main Authors: Shuxi Xu, Houli Peng, Lanxin Yang, Wenjie Zhong, Xiang Gao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Convolutional neural network
Intelligent diagnosis
Orthodontic treatment
Root resorption
Online Access:https://doi.org/10.1038/s41598-025-07477-6
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https://doi.org/10.1038/s41598-025-07477-6

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