Revolutionizing Medical Diagnosis with Trustworthy AI

This cutting-edge project leverages a Knowledge Graph and Retrieval-Augmented Generation (RAG) to create an AI assistant capable of clinical diagnoses, with a focus on medical student training. The project aims to minimize the risk of AI "Hallucination" and provide verifiable outputs, paving the way for increased trust in AI within critical fields. This could represent a major step forward for AI in medicine.

• •Focuses on trustworthy and auditable AI.
• •Application is currently for medical diagnosis and training.
• •Model is available for testing.