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Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie

Open Access 09-03-2023 | Artificial Intelligence | Original Article

Preciseness of artificial intelligence for lateral cephalometric measurements

Authors: Mostafa El-Dawlatly, B.D.S., M.Sc., PhD., M Orth RCSEd, Khaled Hazem Attia, B.D.S., M.Sc., PhD., Ahmed Yehia Abdelghaffar, B.D.S., M Orth RCSEd, Yehya Ahmed Mostafa, D.D.S., M.Sc., Ph.D., FDS RCSEd, Dr. Mohamed Abd El-Ghafour, B.D.S., M.Sc., PhD, M Orth RCSEd

Published in: Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie

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Abstract

Background

The aim of the study was to assess the accuracy and efficiency of a new artificial intelligence (AI) method in performing lateral cephalometric radiographic measurements.

Materials and methods

A total of 200 lateral cephalometric radiographs were assessed for quality and included. Three methods were used to perform the cephalometric measurements: (1) the AI method using WebCeph software (AssembleCircle Corp., Gyeonggi-do, Republic of Korea), (2) the modified AI method using WebCeph software after manual modification of the landmarks’ position, and (3) using OnyxCeph software (Image Instruments GmbH, Chemnitz, Germany) by manual landmark identification and digital measurements generation. The results of the measurements produced by the three methods were compared, in addition to comparing the time required for the measurements’ generation required for each method.

Results

Statistically significant differences were detected between the measurements resulting from the three used methods. Fewer differences were detected between the modified AI method and the OnyxCeph method. The AI method produced the measurements the fastest followed by the modified AI method and then the OnyxCeph method.

Conclusions

Considering the used AI software, AI followed by manual tuning of the landmarks’ position might be an accurate method in lateral cephalometric analysis. AI alone is still not fully reliable at locating the different landmarks on the lateral cephalometric radiographs.
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Metadata
Title
Preciseness of artificial intelligence for lateral cephalometric measurements
Authors
Mostafa El-Dawlatly, B.D.S., M.Sc., PhD., M Orth RCSEd
Khaled Hazem Attia, B.D.S., M.Sc., PhD.
Ahmed Yehia Abdelghaffar, B.D.S., M Orth RCSEd
Yehya Ahmed Mostafa, D.D.S., M.Sc., Ph.D., FDS RCSEd
Dr. Mohamed Abd El-Ghafour, B.D.S., M.Sc., PhD, M Orth RCSEd
Publication date
09-03-2023
Publisher
Springer Medizin
Published in
Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie
Print ISSN: 1434-5293
Electronic ISSN: 1615-6714
DOI
https://doi.org/10.1007/s00056-023-00459-1