Torsdagar The AI Health Podcast

Interpretability and Data Challenges with Duke University's Dr. Cynthia Rudin

av The AI Health Podcast | Publicerades 12/31/2020

Our guest today is Dr. Cynthia Rudin, a professor of computer science, electrical and computer engineering, and statistical science at Duke University. She describes her work on data-driven risk prediction models, which have been validated in real Intensive Care Units and provide a simpler, effective alternative to neural nets. She also discusses the benefits of model interpretability and the challenges that researchers face when accessing medical data.

Om Podcasten

Explore the ways in which AI will transform healthcare, biotech, and medicine through conversations with entrepreneurs, investors and scientists. Hosted by Pranav Rajpurkar and Adriel Saporta. Produced by Oishi Banerjee.