STRP

This study aims to address the challenge of delivering effective and accessible health communication by developing intelligent chatbots for use in cancer prevention, substance use, and mental health interventions. Traditional methods, such as in-person counseling and mass media campaigns, are limited by issues of scalability, accessibility, and personalization. To overcome these limitations, we propose leveraging large language model-based chatbots, optimized for health communication using techniques like Retrieval Augmented Generation (RAG). These chatbots will deliver personalized, interactive, and safe health information, accessible via mobile devices, thereby providing an innovative solution that merges the effectiveness of human experts with the scalability of digital platforms.