Журнал «Медицина неотложных состояний» Том 20, №5, 2024

Глобальний інтерес та суттєві проблеми в цій галузі сприяють її актуальності. Цей аналіз зосереджується на впровадженні штучного інтелекту в сфері медицини з особливим акцентом на його застосуванні для лікування ран. Завдяки численним онлайн-дослідженням і публікаціям ми можемо отримати уявлення про те, як штучний інтелект використовується для покращення діагностики, лікування й моніторингу загоєння ран. Інтеграція штучного інтелекту в цей сектор здатна змінити медичну практику шляхом підвищення точності, ефективності та індивідуального догляду за пацієнтами. Як наслідок, ця сфера досліджень і прогресу стала провідною в глобальному масштабі. Ми використовували електронні бази даних медичних публікацій PubMed і Google Scholar, шукаючи анотації за такими ключовими фразами: штучний інтелект і лікування ран, штучний інтелект та вогнепальні поранення, штучний інтелект і військова медицина, штучний інтелект та хірургія. На основі результатів пошуку було проведено аналіз літератури. Висновки. Необхідно створити численні робочі групи висококваліфікованих спеціалістів з кожної дисципліни та напрямку медичної діяльності, щоб за результатами реальних випадків визначати питому вагу конкретного симптому, лабораторного показника, кожного результату рентгенологічного й ультразвукового дослідження. Така робота повинна мати не менші порядок і структурованість, ніж медичні дослідження. Для цього етапу оптимально отримати універсальний програмний засіб, який можна використовувати з певними варіаціями для всієї різноманітності патологічних станів і процесів.

The 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 indicator, 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 processes.

штучний інтелект; лікування ран; машинне навчання; нейромережа; персоніфікований діагноз; FAIT

artificial intelligence; wound care; machine learning; neural network; personalized diagnosis; FAIT

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