Application of artificial intelligence in dental medicine

Apostoloski, Pavle and Petrovski, Mihajlo (2023) Application of artificial intelligence in dental medicine. Third international conference ETIMA 2025, 3 (1). pp. 186-193.

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Abstract

There are four key sectors in which artificial intelligence is currently applied or has the potential to significantly influence the future of dentistry. Through this method, systems become capable of making predictions and making decisions based on previously collected information, which is very useful in diagnosing and treating diseases. AI systems operate by processing extensive labeled training datasets, identifying correlations and patterns, and utilizing these findings to make predictions about future conditions. The first and most critical application of AI in dentistry is in diagnostics, where it enables the analysis of large volumes of data, such as digital radiographs, 3D models, and photographs, allowing for the identification of anomalies that may not be visible to the naked eye. The second application is in treatment planning, where AI assists in developing customized treatment plans based on a patient's unique anatomical features, medical history, and anticipated outcomes. This technology also supports the accurate placement of dental implants and orthodontic appliances. The third area involves the analysis and management of data, which enhances the scheduling of appointments, document organization, and insurance status tracking. Finally, AI plays a vital role in the education of future dentists by providing realistic clinical simulations and virtual assistants, enabling students to practice complex procedures in a simulated environment that reflects real-world conditions. These simulations not only reduce the risk of errors during patient care but also facilitate ongoing and individualized learning experiences. In conclusion, we can say that artificial intelligence opens up new aspects and perspectives in modern dentistry.

Item Type: Article
Subjects: Medical and Health Sciences > Health sciences
Medical and Health Sciences > Other medical sciences
Divisions: Faculty of Medical Science
Depositing User: Mihajlo Petrovski
Date Deposited: 19 Nov 2025 08:35
Last Modified: 19 Nov 2025 08:35
URI: https://eprints.ugd.edu.mk/id/eprint/36821

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