AICTE Training and Learning Academy (ATAL) sponsored online Faculty Development Program on Smart Healthcare Systems: Enhancing Patient Care with IoT and AI

Retrieval-Augmented Generation (RAG) in Healthcare

My talk on “Retrieval-Augmented Generation (RAG) in Healthcare” will explore how AI-powered models can enhance medical decision-making, patient care, and research by integrating real-time knowledge retrieval with generative AI. I will start by introducing the fundamentals of RAG, explaining how it improves upon traditional language models by fetching relevant, up-to-date medical information from trusted sources. We will discuss its critical applications, such as clinical decision support and patient chatbots. Additionally, I will address the challenges of implementing RAG in healthcare, including data privacy, source reliability, and ethical considerations. The session will conclude with insights into the future potential of RAG, including its role in AI-driven diagnostics. Through this talk, I aim to showcase how RAG is revolutionizing healthcare, making AI more accurate, trustworthy, and impactful in medical settings.