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P.V. Glybochko

Sechenov First Moscow State Medical University

V.N. Gridin

Center of Information Technologies in Design, Russian Academy of Science

M.A. Dymochka

Federal Bureau of Medico-Social Expertise, Ministry of Labour and Social Protection of the Russian Federation

P.L. Ivanov

Russian Centre of Forensic Medical Expertise, Ministry of Health of the Russian Federation

S.I. Kolesnikov

M.V. Lomonosov Moscow State University

E.V. Kryukov

Kirov Military Medical Academy

I.Yu. Makarov

Russian Centre of Forensic Medical Expertise;
Moscow Academy of the Investigative Committee of the Russian Federation

I.A. Tolmachev

Kirov Military Medical Academy

G.V. Zolotenkova

Sechenov First Moscow State Medical University

D.A. Sheptulin

Sechenov First Moscow State Medical University

Yu.I. Pigolkin

Sechenov First Moscow State Medical University

Modern methods of age estimation in living persons under conditions of mass migration in emergencies using artificial intelligence

Authors:

P.V. Glybochko, V.N. Gridin, M.A. Dymochka, P.L. Ivanov, S.I. Kolesnikov, E.V. Kryukov, I.Yu. Makarov, I.A. Tolmachev, G.V. Zolotenkova, D.A. Sheptulin, Yu.I. Pigolkin

More about the authors

Journal: Forensic Medical Expertise. 2025;68(6): 10‑14

DOI: 10.17116/sudmed20256806110

Read: 589 times

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Table of contents

MODERN METHODS OF AGE ESTIMATION IN LIVING PERSONS UNDER CONDITIONS OF MASS MIGRATION IN EMERGENCIES USING ARTIFICIAL INTELLIGENCE
MODERN METHODS OF AGE ESTIMATION IN LIVING PERSONS UNDER CONDITIONS OF MASS MIGRATION IN EMERGENCIES USING ARTIFICIAL INTELLIGENCE

To cite this article:

Glybochko PV, Gridin VN, Dymochka MA, et al. Modern methods of age estimation in living persons under conditions of mass migration in emergencies using artificial intelligence. Forensic Medical Expertise. 2025;68(6):10‑14. (In Russ.)
https://doi.org/10.17116/sudmed20256806110

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

Under conditions of growing global instability and mass migration, which provoke the occurrence of emergencies, the problem of age estimation has acquired particular importance for forensic medical and medico-social practice. This study presents modern approaches for age determination in living persons using radiological, morphometric and mathematical methods, as well as digital technologies and artificial intelligence. Age estimation models were developed and tested based on X-rays of the hand and thyroid cartilage, radiographs of the third molar and upper and lower canines, MRI scans of the carpal bones, and CT images of the skull and knee joint. The implementation of artificial intelligence algorithms and neural network technologies made it possible to increase diagnostic accuracy and automate the process of expert evaluation. The results obtained demonstrate the high effectiveness of the proposed methods and their practical applicability for personal identification in emergency situations and migration crises.

Keywords:

emergencies
migration
living persons
age estimation

Authors:

P.V. Glybochko

Sechenov First Moscow State Medical University

V.N. Gridin

Center of Information Technologies in Design, Russian Academy of Science

M.A. Dymochka

Federal Bureau of Medico-Social Expertise, Ministry of Labour and Social Protection of the Russian Federation

P.L. Ivanov

Russian Centre of Forensic Medical Expertise, Ministry of Health of the Russian Federation

S.I. Kolesnikov

M.V. Lomonosov Moscow State University

E.V. Kryukov

Kirov Military Medical Academy

I.Yu. Makarov

Russian Centre of Forensic Medical Expertise;
Moscow Academy of the Investigative Committee of the Russian Federation

I.A. Tolmachev

Kirov Military Medical Academy

G.V. Zolotenkova

Sechenov First Moscow State Medical University

D.A. Sheptulin

Sechenov First Moscow State Medical University

Yu.I. Pigolkin

Sechenov First Moscow State Medical University

Received:

12.11.2025

Accepted:

14.11.2025

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References:

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  12. Scendoni R, Cingolani M, Giovagnoni A, Fogante M, Fedeli P, Pigolkin YuI, Ferrante L, Cameriere R. Analysis of carpal bones on MR images for age estimation: First results of a new forensic approach. Forensic Science International. 2020;313:110341. https://doi.org/10.1016/j.forsciint.2020.110341
  13. Pigolkin YuI, Poletaeva MP, Zolotenkova GV. Age determine by the age of the thyroid cartilage by the radiological method in forensic medicine. Rossiyskiy elektronnyy zhurnal luchevoy diagnostiki. 2017;7(4):23-29. (In Russ.). https://doi.org/10.21569/2222-7415-2017-7-4-23-2
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