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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">REMEDIUM</journal-id><journal-title-group><journal-title>REMEDIUM</journal-title></journal-title-group><issn publication-format="print">1561-5936</issn><issn publication-format="electronic">2658-3534</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1823</article-id><article-id pub-id-type="doi">10.32687/1561-5936-2025-29-4-355-360</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Patient-centered approach in cosmetic dermatology for ethnic groups of patients in different countries, including using artificial intelligence</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Artsrouni</surname><given-names>Ekaterina V.</given-names></name><bio></bio><email>eartsrouni@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Sadykova</surname><given-names>Romina N.</given-names></name><bio></bio><email>sadykovaromina23@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mingazova</surname><given-names>Elmira N.</given-names></name><bio></bio><email>elmira_mingazova@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff id="aff-1">Russian Medical Academy of Continuous Professional Education, Moscow, Russia</aff><aff id="aff-2">Kazan (Volga Region) Federal University, Kazan, Russia</aff><aff id="aff-3">Russian Medical Academy of Continuous Professional Education, Moscow, Russia, N. A. Semashko National Research Institute of Public Health, Moscow, Russia, Kazan State Medical University, Kazan, Russia</aff><pub-date date-type="epub" iso-8601-date="2025-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2025</year></pub-date><issue>4</issue><fpage>355</fpage><lpage>360</lpage><history><pub-date date-type="received" iso-8601-date="2025-12-15"><day>15</day><month>12</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025,</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>The article is devoted to the analysis of biological, demographic, ethnic, and socio-cultural factors influencing patient preferences, which makes it possible to develop and implement culturally sensitive patient-centered treatment approaches to achieve the effect of naturalness after interventions and increase patient satisfaction with treatment results. Taking into account the individual characteristics of each individual patient and the factors influencing the perception of beauty and the choice of patients is especially important due to the possible difference in patient preferences from the doctors point of view. The variety of physical types of different ethnic populations, suggesting different aesthetic preferences and motives for seeking cosmetic procedures, provides unique perspectives for the development of aesthetic dermatology. The integration of artificial intelligence into cosmetic dermatology has the potential to revolutionize cosmetic consultations, treatment planning, progress analysis, patient education, and ultimately lead to further major advances in cosmetic dermatology.</abstract><kwd-group xml:lang="en"><kwd>patient-centricity</kwd><kwd>cosmetology</kwd><kwd>dermatology</kwd><kwd>ethnic characteristics of patients</kwd><kwd>aesthetic preferences</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>пациентоцентричность</kwd><kwd>косметология</kwd><kwd>дерматология</kwd><kwd>этнические особенности пациентов</kwd><kwd>эстетические предпочтения</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Kania B., Montecinos K., Goldberg D. J. Artificial intelligence in cosmetic dermatology. J. Cosmet. Dermatol. 2024;23:305—3311. DOI: 10.1111/jocd.16538</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Samizadeh S., Wu W. 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