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Evaluation of the Impact of Different Treatments on Orthodontically Induced Apical Root Resorption Using Deep Learning-Based Cone Beam Computed Tomography 3D Imaging Measurement

2024-10-28

Abstract excerpt

<title>Abstract</title> <p>Objective This study aims to utilize a deep learning-based automatic tooth segmentation model to assist in measuring the prevalence and severity of orthodontically induced external root resorption (OIERR), and to compare the differences in OIERR caused by treatment with fixed appliances versus clear aligners in adults. Methods The study included 25 patients treated with fixed applianc...

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Literature Corpus work
6db11fd8-a36d-55cf-beb6-e750580c34eb
DOI
10.21203/rs.3.rs-5288209/v1
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Evaluation of the Impact of Different Treatments on Orthodontically Induced Apical Root Resorption Using Deep Learning-Based Cone Beam Computed Tomography 3D Imaging MeasurementDOI 10.21203/rs.3.rs-5288209/v1
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