Process Optimization in Orthodontics through Structured Reporting and Automated Cephalometric Analysis
Bagdy-Bálint Réka
Dental Research Division
Dr. Varga Gábor
BC22 Irodaház Marcus Aurelius terem
2025-11-04 09:00:00
Dental Research
Dr. Varga Gábor
Dr. Rózsa Noémi Katinka
Dr. Joób-Fancsaly Árpád
Dr. Vitályos Géza
Dr. Gerber Gábor
Dr. Jász Máté
Dr. Bogdán Sándor
Dr. Nagy Katalin
Working at a globally renowned university that prioritizes patient care, education, and research, I recognized that achieving maximum effectiveness requires return to the fundamental principles - specifically optimizing clinical workflows through structured and standardized medical recording. This dissertation addresses the urgent need for innovative data processing systems in healthcare, exploring both the current and future applications of EHRs and their potential integration with AI tools in diagnostic procedures, particularly in orthodontics to improve both efficiency and quality of medical services.
The study involved a systematic review, supplemented by original empirical research conducted within our clinic. The findings emphasize the significance of advancing diagnostic practices and the broader field of medical data management. This work lead to the establishment of a structured database and the development and integration of an AI algorithm for automated cephalometric analysis, which underwent a rigorous validation through a comprehensive study. However, my work does not end here. The foundation of the structured database has created opportunities for extensive follow-up studies on large populations, various anomalies, and an increasing number of tools enabled by rapid development and digitalization. These studies aim to find correlations between diagnostic procedures, groups of anomalies, and the results of long-term treatment outcomes, signalling the beginning of a new phase in data-driven medical research.
To the best of my knowledge and based on a recent review of medical literature, no other structured reporting template for orthodontics matches the complexity and comprehensiveness of the one I developed and published. However, my efforts have never been driven by the desire for pioneering status. Instead, my primary goal has been to develop a model that can be widely adopted as a fundamental component of clinical and research methodologies. I hope that this work will soon be integrated into standard practice, rather than persist as a novel innovation.
