Evaluation and comparison of smartphone application tracing, web based artificial intelligence tracing and conventional hand tracing methods

The aim of this study was to compare and evaluate the reliability of three different cephalometric assessment methods: Smartphone Application Tracing Method CephNinja (SATM), Web Based Artificial Intelligence (AI) Driven Tracing Method WebCeph (WATM) and Conventional Hand Tracing Method (CHTM). 110 lateral cephalometric radiographs were enrolled in the study and 4 linear and 7 angular parameters were traced and measured by one examiner using CephNinja, WebCeph and conventional hand tracing methods. Independent-samples Kolmogorov-Smirnov and Shapiro Wilks tests were used to compare the mean values of intra-examiner differences. Both intra-method and inter-method correlations were evaluated. There were statistically significant differences between the methods in terms of SNA (p:0.003; p