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Explore a 31-minute conference talk from Ray Summit 2024 where Ken Kao and Priunsh Syen of Rad AI delve into the revolutionary applications of Generative AI in healthcare, specifically radiology. Gain insights into three key areas: the role of Large Language Models (LLMs) in healthcare, Rad AI's specialized LLM for radiology and follow-up management workflows, and their Ray-based training infrastructure. Discover how Rad AI leverages Ray Clusters, Ray Train, Pulumi, Google Kubernetes Engine, and Kuberay to support both research experiments and production-grade, multi-node training pipelines. Learn about the practical implementation of AI in healthcare and how Ray-based solutions address challenges in radiology workflows, potentially improving patient care. This presentation offers valuable knowledge for those interested in the intersection of AI and healthcare, showcasing real-world applications of cutting-edge technology in the medical field.
