AI-Driven Virtual Health Assistant Enhancing Patient Interaction Through Decentralized Communication

The AI-driven virtual health assistant enhances patient interaction and supports medical staff by leveraging decentralized communication through the Matrix open protocol, ensuring secure, privacy-respecting interactions. It employs a large language model (LLM) for disease prediction, providing precise medical insights with restricted access to patient data. Using the Support Vector Machine (SVM) algorithm, the assistant processes complex medical data, offering valuable decision support with a remarkable 98% accuracy in diagnosis. Its decentralized architecture ensures scalability for deployment in an open federation. Future research aims to expand its capabilities, enhance diagnostic support, and extend its applicability across various medical domains to optimize patient care.