Design and development of a medical assistant based on large language models

Abstract

This work focuses on the design and development of a medical assistant application based on large language models. The goal is to create an intelligent system that can assist healthcare professionals and patients by leveraging advanced natural language processing capabilities. The work explores the use of state-of-the-art language models to power the medical assistant, enabling it to engage in natural conversations, answer queries, and provide personalized recommendations related to healthcare. Key aspects covered include the system architecture, data processing techniques, and the integration of the language model with domain-specific medical knowledge. Through rigorous testing and evaluation, including assessments on real-world clinical scenarios, the work aims to demonstrate the effectiveness of the medical assistant in enhancing healthcare delivery by applying evaluation techniques