Design and implementation of specialized medical assistant based on LLM agents

Abstract

This study focuses on the creation and development of an intelligent medical chatbot designed to support diabetic patients by providing personalized health information and decision-making assistance. The main objective is to enhance diabetes management through advanced natural language processing (NLP) technologies. The chatbot utilizes large language models to facilitate natural, context-aware conversations, allowing it to answer questions and offer individualized health recommendations. This work details the system’s architecture, the data processing strategies implemented, and the integration of diabetes-specific medical knowledge. Through comprehensive testing and validation, including real-world clinical scenarios, the study demonstrates the potential of the chatbot to improve healthcare delivery and assist patients in managing their condition effectively.