International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Comparative Studies | Dentistry | India | Volume 12 Issue 6, June 2023


A Comparison of Reproducibility of Artificial Intelligence Assisted Cephalometric Analysis Using WebCephTM on Android and iOS Operating Systems - A Short Study

Dr. Joby Anu John | Dr. Hashim Ali | Dr. Hima Vijayan


Abstract: Introduction: Cephalometric radiography is a crucial tool diagnosis, prognosis, treatment planning and evaluation. Cephalometric analysis employing computerised software is becoming very popular as a result of recent technological advancements and a spike in the usage computer and Artificial Intelligence (AI) in the field of orthodontics. Aim: The aim of this study is to investigate the reproducibility of the linear and angular measures obtained from the WebCephTM cephalometric analysis software when performed on two different operating systems (Android and iOS). Materials and Methods: 15 pretreatment digital lateral cephalograms were randomly selected based on inclusion criteria. Web - based fully automated tracing and Steiners analysis was done using WebCephTMcephalometric analysis application on iOS and Android based smartphones seperately and compared. Data was analyzed using the statistical package SPSS 26.0 (SPSS Inc., Chicago, IL) and level of significance was set at p<0.05. Result: The Mann Whitney U test reported no statistically significant difference between the groups regarding any of the selected variables (p>0.05). CONCLUSION: The results showed good reproducibility of the linear and angular measures obtained from the WebCephTM cephalometric analysis software on both operating systems (Android and iOS).


Keywords: Digital, Cephalometrics, AI, WebCeph, Smartphone


Edition: Volume 12 Issue 6, June 2023,


Pages: 420 - 423


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