AI Enhanced Diagnostic & Treatment Planning System
This project utilizes Retrieval-Augmented Generation (RAG) to enhance the quality and relevance of medical information provided to doctors. It combines retrieval-based and generation-based models to offer personalized diagnoses and treatment plans based on the doctor’s query and the patient’s medical history.
Features
RAG Pipeline: Combines retrieval and generation models to provide comprehensive medical information tailored to each patient’s needs.
Latest Medical Information: Utilizes APIs and web scraping to gather the newest medical research from trusted sources, ensuring accuracy and relevance.
Personalization: Takes into account the unique medical history of each patient to offer personalized diagnoses and treatment plans.
Trusted Information Sources: Collects data only from reputable medical journals and websites, ensuring the reliability of the recommendations.