Abstract

Cephalometric X-ray image analysis is part of diagnostic procedures in dento-maxillofacial orthopedics and orthodontics. The integration of artificial intelligence (AI) into medical programs is increasingly prevalent, with several studies comparing various computerized cephalometric analysis programs against traditional methods. However, no definitive consensus has been reached on the ideal methodology. In the realm of cephalometric analysis, errors can arise in image acquisition, identification, and measurement. Currently, there are many different programs for calculating and analyzing X-ray images of the head. One of them is AudaxCeph, a program enabling clinicians to incorporate specialized knowledge into computer software and apply it for cephalometric analysis of X-ray images.This study delves into the landscape of cephalometric analysis programs, with a specific focus on AudaxCeph. AudaxCeph stands out as a program that allows the incorporation of specialist knowledge into computer software for cephalometric analysis of X-ray images. Through the collaboration between Poltava State Medical University and "Audax doo" in Ljubljana, Slovenia, the AudaxCeph program has been integrated into medical, advisory, scientific, and educational practices at the department of postgraduate education for orthodontists.At the department of postgraduate education of orthodontists of the Poltava State Medical University, according to the cooperation agreement between the university and "Audax doo" company Ljubljana, Slovenia, the AudaxCeph program is used in medical and advisory, scientific and educational work. The use of the program for cephalometric analysis is implemented in the educational process, in particular, in the curricula and programs of the specialty "Orthodontics" for interns, thematic improvement cycles, and in specialization cycle in the "Diagnostics in Orthodontics" section. The program was also used to conduct a number of scientific studies on the diagnosis of malocclusion. Conclusions. The implementation of AudaxCeph in educational processes, such as internships, thematic improvement cycles, and specialization cycles in the "Diagnostics in Orthodontics" section, demonstrates its versatile utility. Moreover, the program has been instrumental in conducting scientific studies on malocclusion diagnosis. In conclusion, while the use of computer programs enhances the efficiency of orthodontists, the role of artificial intelligence should be viewed as a supplementary diagnostic tool rather than the sole determinant of accurate analysis.

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