Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence

Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence

Abstract Background The purpose of this study was to evaluate the accuracy of automatic cephalometric landmark localization and measurements using cephalometric analysis via artificial intelligence (AI) compared with computer-assisted manual analysis. Methods Reconstructed lateral cephalograms (RLCs...

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Bibliographic Details
Main Authors: Han Bao, Kejia Zhang, Chenhao Yu, Hu Li, Dan Cao, Huazhong Shu, Luwei Liu, Bin Yan
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Oral Health
Subjects:
Cephalometric analysis
Automatic identification
Cone-beam CT
Artificial intelligent
Online Access:https://doi.org/10.1186/s12903-023-02881-8

Internet

https://doi.org/10.1186/s12903-023-02881-8

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