REVIEW OF METHODS AND ALGORITHMS USED IN ARTIFICIAL INTELLIGENCE SYSTEMS TO SUPPORT MEDICAL DECISION-MAKING
IN INSTRUMENTAL DIAGNOSTICS IN DENTISTRY 

Anna O. Mokhova, Assistant of the sub-department of human physiology, Penza State University (40 Krasnaya street, Penza, Russia), anna2015m2015@gmail.com
Sergey M. Gerashchenko, Doctor of technical sciences, associate professor, professor of the sub-department of polyclinic therapy and mobilization training in healthcare, Penza State University (40 Krasnaya street, Penza, Russia), sgerash@mail.ru

Background. The aim of the work is to review and analyze the methods and algorithms used in artificial intelligence systems to support medical decision-making in instrumental diagnostics in dentistry. Materials and methods. The review examines scientific publications published between 2014 and 2024. Results. An analysis of works on the stated topic was carried out in terms of the methods and algorithms used, the area of their application, the size of the database used for training, and the final qualitative and quantitative metrics of the algorithm application. Conclusion. Systematization of artificial intelligence methods and algorithms used in instrumental diagnostics in dentistry will significantly simplify both routine tasks performed by doctors and facilitate the analysis and systematization of clinical data, which is especially important for highly busy specialists or young specialists due to the lack of extensive practical experience.

diagnostics, medical decision support system, artificial intelligence, deep learning, machine learning, oral diseases, dentistry

Mokhova A.O., Gerashchenko S.M. Review of methods and algorithms used in artificial intelligence systems to support medical decision-making in instrumental diagnostics in dentistry. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2025;(2):115–125. (In Russ.). doi: 10.21685/2307-5538-2025-2-14