Artificial intelligence in endodontics: current achievements and future prospects. A literature review
https://doi.org/10.36377/ET-0063
Abstract
INTRODUCTION. The article explores the current achievements and future prospects of artificial intelligence (AI) in endodontics, emphasizing its applications in diagnostics, treatment planning, quality control, outcome prediction, telemedicine, and educational processes. AI is highlighted as a transformative tool that enhances precision, standardization, and personalization in endodontic practice.
AIM. To systematically analyze the current state of AI application in endodontics and outline directions for further research and implementation.
MATERIALS AND METHODS. The study involved a thorough review of scientific literature obtained from major databases such as PubMed, Scopus, and Web of Science over the past five years. A critical evaluation of these publications assessed the effectiveness of AI in clinical practice and educational programs.
CONCLUSIONS. AI significantly enhances diagnostic accuracy, optimizes treatment planning, improves quality control, and expands opportunities in telemedicine and dental education. However, challenges such as high implementation costs, data security concerns, the absence of standardization, and the need for regulatory frameworks persist, necessitating further research and development of universal solutions.
About the Authors
A. V. Mitronin
Russian University of Medicine
Russian Federation
Competing Interests:
Russian Federation
Alexander V. Mitronin – Honored Doctor of the Russian Federation, Dr. Sci. (Med.), Professor, Deputy Director of NOI Dentistry named after A.I. Evdokimova; Head of the Department of Therapeutic Dentistry and Endodontics
4, Dolgorukovskaya St., Moscow 127006
Competing Interests:
The authors report no conflict of interest.
T. A. Abakarov
Dagestan State Medical University
Russian Federation
Competing Interests:
Russian Federation
Tagir A. Abakarov – Cand. Sci. (Med.), Associate Professor, Dean of the Faculty of Dentistry
1 Lenin Sq., Makhachkala, Republic of Dagestan, 367000
Competing Interests:
The authors report no conflict of interest.
G. M.-A. Budaichiev
Dagestan State Medical University
Russian Federation
Competing Interests:
Russian Federation
Gasan M.-A. Budaichiev – Cand. Sci. (Med.), Assistant Professor of the Department of Therapeutic Dentistry
1 Lenin Sq., Makhachkala, Republic of Dagestan, 367000
Competing Interests:
The authors report no conflict of interest.
E. R. Osmanov
Dagestan State Medical University
Russian Federation
Competing Interests:
Russian Federation
Eldar R. Osmanov – 5th year Student of the Faculty of Dentistry
1 Lenin Sq., Makhachkala, Republic of Dagestan, 367000
Competing Interests:
The authors report no conflict of interest.
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Review
For citations:
Mitronin A.V., Abakarov T.A., Budaichiev G.M., Osmanov E.R. Artificial intelligence in endodontics: current achievements and future prospects. A literature review. Endodontics Today. 2025;23(1):62-70. https://doi.org/10.36377/ET-0063
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