{"id":168641,"date":"2025-06-30T11:21:08","date_gmt":"2025-06-30T08:21:08","guid":{"rendered":"https:\/\/www.tdmu.edu.ua\/blog\/2025\/06\/30\/dotsent-tnmu-vzyav-uchast-u-mizhnarodnomu-naukovo-doslidnomu-proyekti-zastosuvannya-shtuchnogo-intelektu-shi-v-medytsyni\/"},"modified":"2025-06-30T17:14:28","modified_gmt":"2025-06-30T14:14:28","slug":"dotsent-tnmu-vzyav-uchast-u-mizhnarodnomu-naukovo-doslidnomu-proyekti-zastosuvannya-shtuchnogo-intelektu-shi-v-medytsyni","status":"publish","type":"post","link":"https:\/\/www.tdmu.edu.ua\/en\/blog\/2025\/06\/30\/dotsent-tnmu-vzyav-uchast-u-mizhnarodnomu-naukovo-doslidnomu-proyekti-zastosuvannya-shtuchnogo-intelektu-shi-v-medytsyni\/","title":{"rendered":"Associate Professor of TNMU Participates in the International Research Project \u201cApplication of Artificial Intelligence in Medicine\u201d"},"content":{"rendered":"\n

Andrii Pavlyshyn, Associate Professor of the Department of General Surgery at I. Horbachevsky Ternopil National Medical University, made a working visit to the Opole University of Technology (Poland) to participate in the international research project \u201cApplication of Artificial Intelligence (AI) in Medicine.\u201d<\/em><\/p>\n\n\n\n

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The project aims to create, verify, and implement cutting-edge AI technologies for analyzing visual markers of wounds and the wound healing process, identifying and evaluating different types of tissue damage (skin, subcutaneous fat, muscles, fascia, bones, etc.). The research involves the creation of unique databases of various wound types, standardized visual assessment scales for wound defects, and injuries of both civilian and combat origin.<\/p>\n\n\n\n

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The main objective of the study is to develop, test, and implement effective AI technologies for identifying different types of wounds and injuries using automated analysis of photo and video data. The final result will be the development of a prototype intelligent telemedicine decision-support system to optimize identification, triage, and treatment strategies for civilian and military injuries at different stages of prehospital and medical care.<\/p>\n\n\n\n

To date, a specialized photo and video database containing over 7,000 files has been developed. It includes images of various types of civilian and combat injuries with visual descriptions and clinical data. During the visit, a unified system of assessment scales based on visual markers from images and videos was also developed. The team continues to work on effective AI algorithms for classifying different types of wounds.<\/p>\n\n\n\n

The research project includes the following stages:<\/p>\n\n\n

    \n
  1. Creating a unique database of civilian and combat wound images and videos;<\/li>\n\n\n\n
  2. Developing expert scoring systems for visual wound markers, tissue damage, organ involvement, and anatomical localization;<\/li>\n\n\n\n
  3. Automatic wound detection using AI;<\/li>\n\n\n\n
  4. Automated recognition of tissue types (muscle, fascia, subcutaneous fat);<\/li>\n\n\n\n
  5. Predicting the anatomical location of the injury using CNN classifiers, Grad-CAM interpretation, and integration with mobile sensors (GPS, accelerometer);<\/li>\n\n\n\n
  6. Automatic planimetric wound evaluation;<\/li>\n\n\n\n
  7. Medical text analysis based on NLP;<\/li>\n\n\n\n
  8. Risk assessment for complications and infections using XGBoost, Random Forest, and logistic regression;<\/li>\n\n\n\n
  9. Validation of research findings;<\/li>\n\n\n\n
  10. Development of an AI system prototype;<\/li>\n\n\n\n
  11. Implementation of the research results.<\/li>\n<\/ol>\n\n\n

    During his visit, Andrii Pavlyshyn conducted a research-practical seminar on \u201cThe Use of Artificial Intelligence in Medicine\u201d<\/em>, where he presented the interim results of six months of work and outlined objectives for the next half-year.<\/p>\n\n\n\n

    He also organized and led an international meeting to discuss the \u201cVidnova\u201d<\/em> project under the supervision of Prof. Dmytro Popovych, which focuses on the use of virtual reality in the rehabilitation of patients.<\/p>\n\n\n\n

    A series of working meetings were held with researchers at the Opole University of Technology, including:<\/p>\n\n\n

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    • Dr hab. in\u017c. Rafa\u0142 Sanis\u0142awski \u2013 Professor, Chair of Computer Science, Head of the Scientific Council for Technical Informatics and Telecommunications;<\/li>\n\n\n\n
    • Dr in\u017c. Jakub Osuchowski \u2013 Assistant Professor, Department of Artificial Intelligence;<\/li>\n\n\n\n
    • Dr hab. Monika B\u0142aszczyszyn \u2013 Professor, Department of Physical Education and Sport;<\/li>\n\n\n\n
    • Dr hab. in\u017c. Krzysztof Zatwarnicki \u2013 Professor, Head of the Department of Computer Science, specialist in modeling and analysis of information systems;<\/li>\n\n\n\n
    • Dr hab. in\u017c. Micha\u0142 Tomaszewski \u2013 Professor, expert in machine learning and AI;<\/li>\n\n\n\n
    • Dr Serhii Lupenko \u2013 Professor, specialist in mathematical modeling and signal analysis in information systems;<\/li>\n\n\n\n
    • Dr in\u017c. Anna Zatwarnicka \u2013 Assistant Professor, specialist in information systems design.<\/li>\n<\/ul>\n\n\n

      Key outcomes of the meetings included:<\/p>\n\n\n

        \n
      • A cooperation plan for 2025\u20132026 involving joint research, experience exchange, and scientific internships;<\/li>\n\n\n\n
      • Defined research priorities, including image processing algorithms for classifying wound types, assessing wound healing stages, and detecting complications using neural networks;<\/li>\n\n\n\n
      • Agreed procedures for collecting significant image features necessary for AI training.<\/li>\n<\/ul>\n\n\n

        The project holds strong practical potential across several areas:<\/p>\n\n\n\n

        Information technology and computer engineering.<\/p>\n\n\n\n

        Civilian medicine;<\/p>\n\n\n\n

        Emergency and disaster medicine;<\/p>\n\n\n\n

        Military medicine;<\/p>\n\n\n\n

        Training for medical and non-medical personnel;<\/p>\n\n\n\n

        Robotic and autonomous telemedicine systems;<\/p>\n\n\n\n

        Biomedical research and bioengineering;<\/p>\n\n\n\n

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        Key outcomes of the meetings included:<\/p>\n\n\n

          \n
        • A cooperation plan for 2025\u20132026 involving joint research, experience exchange, and scientific internships;<\/li>\n\n\n\n
        • Defined research priorities, including image processing algorithms for classifying wound types, assessing wound healing stages, and detecting complications using neural networks;<\/li>\n\n\n\n
        • Agreed procedures for collecting significant image features necessary for AI training.<\/li>\n<\/ul>\n\n\n

          The project holds strong practical potential across several areas:<\/p>\n\n\n\n

          Information technology and computer engineering.<\/p>\n\n\n\n

          Civilian medicine;<\/p>\n\n\n\n

          Emergency and disaster medicine;<\/p>\n\n\n\n

          Military medicine;<\/p>\n\n\n\n

          Training for medical and non-medical personnel;<\/p>\n\n\n\n

          Robotic and autonomous telemedicine systems;<\/p>\n\n\n\n

          Biomedical research and bioengineering;<\/p>\n\n\n\n

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          In emergency and disaster medicine, the project will support:<\/p>\n\n\n

            \n
          • On-site diagnostics and patient condition assessment;<\/li>\n\n\n\n
          • Smart mobile applications for paramedics and first responders;<\/li>\n\n\n\n
          • Real-time photo analysis of wounds, surface area, depth, and injury type;<\/li>\n\n\n\n
          • Automated recommendations for required medical care;<\/li>\n\n\n\n
          • Critical condition detection and triage prioritization;<\/li>\n\n\n\n
          • Intelligent first aid guidance;<\/li>\n\n\n\n
          • Wound severity classification for fast decision-making.<\/li>\n<\/ul>\n\n\n

            The results will also serve as a training tool for both medical and non-medical personnel. Key educational applications include:<\/p>\n\n\n

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            • Using AI algorithms in medical training.<\/li>\n\n\n\n
            • Developing simulators of various wound types with virtual scenarios;<\/li>\n\n\n\n
            • Interactive simulations based on real clinical cases and curated databases.<\/li>\n<\/ul>\n\n\n

              The working visit was highly productive, resulting in confirmed cooperation areas and defined pathways for further scientific collaboration. The realization of the agreed objectives will contribute to the integration of modern information technologies into the healthcare sector and enhance the quality of research in Ukraine, particularly in the field of deep learning\u2013based medical AI systems.<\/p>\n\n\n\n

              <\/p>\n","protected":false},"excerpt":{"rendered":"

              Andrii Pavlyshyn, Associate Professor of the Department of General Surgery at I. Horbachevsky Ternopil National Medical University, made a working visit to the Opole University…<\/p>\n","protected":false},"author":16,"featured_media":168548,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"editor_plus_copied_stylings":"{}","footnotes":""},"categories":[3227],"tags":[3230,3235,3491,3231,3232,3233,3228],"class_list":["post-168641","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","tag-vyshha-medychna-osvita-en","tag-medytsyna-en","tag-nauka-en","tag-osvita-en","tag-ternopil-en","tag-ternopilskyj-meduniversytet-en","tag-tnmu-en"],"_links":{"self":[{"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/posts\/168641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/comments?post=168641"}],"version-history":[{"count":0,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/posts\/168641\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/media\/168548"}],"wp:attachment":[{"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/media?parent=168641"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/categories?post=168641"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tdmu.edu.ua\/en\/wp-json\/wp\/v2\/tags?post=168641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}