Android design and assessment of a Björk-Jarabak-based application for cephalometric diagnosis in Latin-American people

The objective of this study is to design an application for cephalometric diagnosis which matches as much as possible the results of the traditional manual tracing in the lateral skull radiograph; for this purpose, an application (UCeph) was designed for Android; the improvement of the application, based on the results of the pilot test. To analyze the concordance of the diagnosis produced by our application and the "hand-tracing", the radiographic image was uploaded, and then printed on photographic paper; to plot the nine measurements: six linear and three angular, using the Björk-Jarabak analysis. The results of the application were compared to the manual tracing using the kappa test; no significant differences (p > 0.05) were found between the two groups, and a very good reliability is shown in the use of the application. Likewise, a financial viability analysis and an impact assessment were carried out. This demonstrates that the software is accessible and competitive in our Latin American market. The results of the impact assessment suggest that UCeph has had a greater impact on decreasing both the tracing time and possible human errors, as well as helping produce better diagnoses, and positive effects on the environment.