Explore the transformative potential of machine learning in medicine and the challenges of making complex "black box" models interpretable in this 1-hour 16-minute lecture by Mihaela van der Schaar, John Humphrey Plummer Professor of AI and Machine Learning in Medicine at the University of Cambridge. Discover cutting-edge approaches developed by her research team to turn opaque machine learning models into transparent and understandable "white boxes." Learn how developers can ensure that clinicians, medical researchers, and patients can trust and comprehend the recommendations made by these models. Gain insights into the future of AI in healthcare and the importance of interpretability in building trust among diverse users.