Lurin, I.Gorobeiko, M.Sokol, Ye.Usenko, O.Khoroshun, EduardMakarov, VitaliiNehoduiko, VolodymyrGumeniuk, K.Gorobeyko, B.Dinets, А.2024-09-052024-09-052024A review of the artificial intelligence application as a guideline tool for the wound management / I. A. Lurin, M. B. Gorobeiko, Ye. I. Sokol, O. Yu. Usenko, E. M. Khoroshun, V. V. Makarov, V. V. Nehoduiko, K. V. Gumeniuk, B. Gorobeyko, A. V. Dinets // Emergency Medicine. ─ 2024. ─ Vol. 20, No. 5. ─ P. 417─422.2224-0586https://repo.knmu.edu.ua/handle/123456789/34256he global interest and substantial challenges on this subject contribute to its relevance. This analysis centers on the implementation of artificial intelligence within the medical field, with a specific focus on its application in managing wounds. Through an examination of numerous online studies and publications, we can gain insight into how artificial intelligence is being employed to enhance the diagnosis, treatment, and monitoring of wound healing. The integration of artificial intelligence in this sector has the capacity to transform medical practice by improving precision, effectiveness, and individualized patient care. As a result, it is a leading area of research and advancement on a global scale. We used the PubMed and Google Scholar electronic databases of medical publications, searching for abstracts using the following key phrases: artificial intelligence and wound management, artificial intelligence and gunshot wounds, artificial intelligence and war medicine, artificial intelligence and surgery. Based on search results, a literature analysis was performed. Conclusions. It is necessary to create numerous working groups of highly qualified specialists from each discipline and direction of medical activity, where the specific weight of each symptom, laboratory indica-tor, each radiological and ultrasound examination result is determined based on the data of real cases. And such work should have no less discipline and structure than medical research, it is optimal to get a universal software tool for this stage of work, which can be used with certain variations for the whole variety of pathological conditions and processesen-USartificial intelligencewound caremachine learningneural networkpersonalized diagnosis2024аArticle