Artificial intelligence for a personalized approach to percutaneous nephrolithotripsy
Автор: Shchamkhalova K.K., Merinov D.S., Artemov A.V., Gurbanov Sh.sh., Inamov R.R., Apolikhin O.I., Kaprin A.D.
Журнал: Экспериментальная и клиническая урология @ecuro
Рубрика: Экспериментальная урология
Статья в выпуске: 1 т.17, 2024 года.
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Introduction. In recent years, there has been more and more research on the creation of artificial intelligence (AI) to help diagnose and treat patients in various fields of medicine. The use of algorithms allows us to reduce the time for processing large volumes of information and give a «second opinion» to a specialist in complex and non-standard clinical cases. In order to increase the effectiveness of percutaneous nephrolithotripsy, we have created an AI algorithm to personalize approach in the surgical treatment of nephrolithiasis.
Urolithiasis, percutaneous nephrolithotripsy, artificial intelligence
Короткий адрес: https://sciup.org/142241812
IDR: 142241812 | DOI: 10.29188/2222-8543-2024-17-1-24-34