Comparison of Artificial Intelligence Supported and App-Aided Cephalometric Analysis

Background: The reliability and repeatability of the cephalometric analysis programs are important for orthodontic diagnosis. The aim of this study was to compare the accuracy and reproducibility of the artificial intelligence-supported WebCeph (AssembleCircle Corp. South Korea) cephalometric analysis program and the app-aided OneCeph (Dr. M. Pavan Kumar NXS Corp. Hyderabad, India) program. Methods: Lateral cephalometric radiographs of a total of 30 cases, 11 boys and 19 girls, with an average age of 14 years, in the permanent dentition, were used. A total of 12 parameters, 8 angular and 4 dimensional, were measured with the artificial intelligence-supported WebCeph cephalometric analysis program and the app-aided OneCeph program. In order to determine intraobserver reliability, 1 month after the completion of the measurements, the cephalometric analysis of 20 randomly selected cephalometric radiographs were repeated by the same researcher using both methods. Results: Both analysis methods were found to be highly compatible with each other. It is seen that there is full agreement between the clinician's first and second measurements in both the WebCeph program and the OneCeph application. Conclusion: The artificial intelligence-supported WebCeph cephalometric analysis program and the app-aided OneCeph program can be used safely interchangeably. Both cephalometric analysis programs were found to have a high degree of reproducibility.