This podcast interviews Daniel Nadler, co-founder of OpenEvidence, an AI-powered medical information tool. The discussion centers on OpenEvidence's rapid growth to over 100,000 physician users, achieved through a direct-to-consumer approach focusing on solving doctors' real-world information needs. Nadler emphasizes the importance of training AI models on high-quality, peer-reviewed data (like the New England Journal of Medicine, with whom they have a partnership) to ensure accuracy in medical decision-making. He highlights the crucial role of smaller, specialized AI models in medicine, contrasting them with larger, more general models. The interview concludes with a discussion of the future potential of AI in personalized medicine and the importance of assembling high-IQ teams to tackle complex problems.
