In this talk, we explore how Language Model (LLM) technology coupled with Retrieval Augmented Generation (RAG) systems revolutionizes healthcare by facilitating swift access to academic studies and diagnostic information. By employing these advanced AI tools, doctors can efficiently recap pertinent research findings and diagnoses, expediting the diagnostic process. This innovative approach enhances medical decision-making, streamlines patient care, and ultimately improves health outcomes. We delve into practical applications, discussing how LLMs and RAG systems empower healthcare professionals to navigate vast repositories of medical knowledge effortlessly. Emphasizing the transformative potential of these technologies, we envision a future where rapid access to critical information becomes synonymous with superior patient care.