RUSSIAN LANGUAGE AS A TOOL FOR ANALYZING MEDICAL DATA IN UZBEKISTAN: LINGUISTIC AND TECHNOLOGICAL ASPECTS

Abstract

The article explores the role of the Russian language in the digital transformation of
healthcare in Uzbekistan, focusing on the interaction of bilingualism and artificial intelligence (AI) technologies. It analyzes the historical background
of the dominance of the Russian language in medical documentation, modern challenges
of processing hybrid (Russian-Uzbek) texts and practical solutions for NLP (Natural
Language Processing). Using cases from clinics in Uzbekistan, it is demonstrated how
adaptation of algorithms to language specifics increases the accuracy of diagnostics and
the efficiency of data management. The work uses methods of corpus
linguistics and a comparative analysis of machine learning models. The results
show that the integration of the Russian language into AI systems remains strategically important,
but requires standardization of terminology and an interdisciplinary approach.