Stanford Webinar - Creating Fair, Useful, and Reliable AI in Healthcare

In this podcast, Dr. Nigam Shah explores the thoughtful and effective use of AI and machine learning in healthcare. He highlights that the success of AI isn’t only dependent on the technology itself; it also relies heavily on the quality of the data used for training and, crucially, on the actionable decisions made from its insights. Dr. Shah presents the FORM (Fair, Useful, Reliable Models) framework, a comprehensive approach for building and implementing AI models in healthcare. This framework emphasizes workflow analysis, ethical considerations, and capacity planning to ensure that these technologies make a meaningful and sustainable impact in the real world. Additionally, he discusses the promising yet still largely untested potential of generative AI in healthcare, underscoring the importance of thorough validation to confirm its advantages.