A Novel AI-based chatbot Application for Personalized Medical Diagnosis and review using Large Language Models
Shreeram Akilesh, Sheik Abdullah A, R Abinaya, Shankar Raman Dhanushkodi, Rajeev Sekar
Abstract
This research showcases a groundbreaking application in the medical industry by leveraging the cutting-edge OpenAI service's GPT-3.5 model, powered by large language models (LLMs). Through the implementation of a Java-based Android app, it introduces a medical chatbot that redefines the way individuals interact with healthcare systems. By capitalizing on the advanced capabilities of LLMs, the app enables users to effortlessly input their symptoms and receive accurate insights, personalized diagnoses, and actionable medical advice. The utilization of natural language processing and AI algorithms ensures a seamless and intuitive user experience. The significance of this innovation lies in the revolutionary impact of LLMs on the entire medical industry. The integration of LLMs empowers the app to comprehend complex medical queries, interpret contextual information, and deliver reliable and up-to-date medical knowledge to users. This transformative technology facilitates improved access to healthcare information, enhances decision-making processes, and ultimately contributes to the optimization of healthcare services.