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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Actual problems in dentistry</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Actual problems in dentistry</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Проблемы стоматологии</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2077-7566</issn>
   <issn publication-format="online">2412-9461</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">94714</article-id>
   <article-id pub-id-type="doi">10.18481/2077-7566-2024-20-4-19-27</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>LITERATURE REVIEW</subject>
    </subj-group>
    <subj-group>
     <subject>ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">MODERN ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN DENTISTRY FOR IDENTIFICATION OF PERSONALITY (A REVIEW)</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>СОВРЕМЕННЫЕ ТЕХНОЛОГИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СТОМАТОЛОГИИ  ДЛЯ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ ЧЕЛОВЕКА (ОБЗОР ЛИТЕРАТУРЫ)</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Верховский</surname>
       <given-names>Андрей Евгеньевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Verkhovskiy</surname>
       <given-names>Andrey E.</given-names>
      </name>
     </name-alternatives>
     <email>a.verhovskii@mail.ru</email>
     <bio xml:lang="ru">
      <p>кандидат медицинских наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of medical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Апресян</surname>
       <given-names>Самвел Владиславович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Apresyan</surname>
       <given-names>Samvel S.</given-names>
      </name>
     </name-alternatives>
     <email>apresyan@rudn.ru</email>
     <bio xml:lang="ru">
      <p>доктор медицинских наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>doctor of medical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Степанов</surname>
       <given-names>Александр Геннадьевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Stepanov</surname>
       <given-names>Alexander G.</given-names>
      </name>
     </name-alternatives>
     <email>stepanovmd@list.ru</email>
     <bio xml:lang="ru">
      <p>доктор медицинских наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>doctor of medical sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-3"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Смоленский государственный медицинский университет</institution>
     <city>Смоленск</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Smolensk State Medical University</institution>
     <city>Smolensk</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Российский университет дружбы народов имени Патриса Лумумбы</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-3">
    <aff>
     <institution xml:lang="ru">Российского университета дружбы народов имени Патриса Лумумбы</institution>
     <city>Москва</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-12-28T14:59:13+03:00">
    <day>28</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-12-28T14:59:13+03:00">
    <day>28</day>
    <month>12</month>
    <year>2024</year>
   </pub-date>
   <volume>20</volume>
   <issue>4</issue>
   <fpage>19</fpage>
   <lpage>27</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-12-10T14:59:13+03:00">
     <day>10</day>
     <month>12</month>
     <year>2024</year>
    </date>
   </history>
   <self-uri xlink:href="https://dental-press.ru/en/nauka/article/94714/view">https://dental-press.ru/en/nauka/article/94714/view</self-uri>
   <abstract xml:lang="ru">
    <p>Современная цифровая стоматологическая криминалистика произвела революцию в традиционных судебных расследованиях в рамках сбора, анализа и представления судебных доказательств, причем сегодня ее применение становится привычным явлением при расследовании последствий массовых катастроф, землетрясений и террористических актов. Совершенствование программного обеспечения и появление цифровых компьютерных технологий, автоматизированного проектирования и производственных систем, цифровых записей и робототехники, методик бесконтактного вскрытия и виртопсии привели к ускорению и оптимизации процесса идентификации личности путем извлечения большого объема данных и уменьшения возможных погрешностей. Анализ доступных отечественных и зарубежных литературных источников свидетельствует о необходимости проведения комплексного идентификационного исследования с применением разноплановых цифровых методов и традиционных средств оценки имеющегося материала.&#13;
Цель исследования — проанализировать актуальную научную литературу, посвященную проблемам применения технологий искусственного интеллекта в практике общемедицинской и стоматологической идентификации личности.&#13;
Методология. Основу настоящего литературного обзора составили 25 источников из следующих баз данных: PubMed, PubMed Central, Scopus, Elibrary, ResearchGate, Google Scholar.&#13;
Результаты. В статье представлен обзор актуальных методов цифровой судебно-медицинской идентификации личности с применением технологий искусственного интеллекта. Отражены современные аспекты диагностики и комплексного планирования идентификационного исследования с целью эффективного разрешения медико-правовых и стоматологических вопросов.&#13;
Выводы. На основании проведенного анализа литературы можно заключить, что, в зависимости от сложности и специфичности задач, поставленных в процессе идентификации личности, выбираются оптимальные пути их оперативного решения, причем приоритетом все чаще являются современные цифровые методы исследования с применением технологии искусственного интеллекта. Резюмируя, следует отметить инновационный характер используемых технологий, а также неизбежность процесса внедрения специализированного цифрового программного обеспечения мировым научным сообществом в профессиональную практику идентификации личности.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Modern digital dental forensics has revolutionized traditional forensic investigations in the collection, analysis and presentation of forensic evidence, and today its use is becoming routine in the investigation of the consequences of mass disasters, earthquakes and terrorist acts. Improvement of software and emergence of digital computer technologies, computer-aided design and manufacturing systems, digital records and robotics, techniques of non-contact autopsy and virtual autopsy (virtopsy) have led to acceleration and optimization of the personal identification process by extracting a large amount of data and reducing possible errors. Analysis of available domestic and foreign literary sources indicates the need for a comprehensive identification study with the use of diverse digital methods and traditional means of evaluating the available biomaterials.&#13;
The aim of the study is to analyze the current scientific literature related to the application of artificial intelligence technologies in the general medical and dental personal identification practice.&#13;
Methodology. This literature review was based on 25 sources from the following databases: PubMed, PubMed Central, Scopus, Elibrary, ResearchGate, Google Scholar.&#13;
Results. The article presents a review of actual methods of digital forensic identification of a person using artificial intelligence technologies. The article covers modern aspects of diagnostics and complex planning of identification study in order to effectively resolve medico-legal and dental issues.&#13;
Conclusions. Based on the performed literature analysis a conclusion can be drawn up that depending on the complexity and specificity of the tasks set in the process of personal identification, the optimal ways of their operational solution are to be determined, and modern digital methods of research with the use of artificial intelligence technology are increasingly being prioritized. In summary, the innovative nature of the technologies used, as well as the inevitability of introduction of specialized digital software by the world scientific community into the professional practice of personal identification shall be noted.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>искусственный интеллект</kwd>
    <kwd>идентификация личности</kwd>
    <kwd>цифровая стоматология</kwd>
    <kwd>судебная медицина</kwd>
    <kwd>танатология</kwd>
    <kwd>компьютерные технологии</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>artificial intelligence</kwd>
    <kwd>personal identification</kwd>
    <kwd>digital dentistry</kwd>
    <kwd>forensic science</kwd>
    <kwd>thanatology</kwd>
    <kwd>computer technology</kwd>
   </kwd-group>
  </article-meta>
 </front>
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