Large Language Models in Hybrid Intelligent Medical Systems

This paper examines the current state and prospects of using large language models in hybrid intelligent medical systems. The possibilities, limitations, and prospects for using modern large language models to solve problems in the field of medicine, such as the creation of medical chatbots and the analysis of medical documents and images, are discussed. Artificial intelligence technologies are currently developing very rapidly, and their integration into the healthcare sector is becoming increasingly relevant. Large language models open new prospects for automating and optimizing processes in medicine, which can improve the quality of patient care and increase the efficiency of medical institutions.