Fundamentals of Machine Learning for Healthcare

Dr. Matthew Lungren is an Associate Professor of Medicine in the Department of Radiology at Stanford University and Co-Director of the Stanford Center for Artificial Intelligence in Medicine and Imaging. His research, funded by the NIH and NSF, focuses on the application of artificial intelligence and deep learning in medical imaging, precision medicine, and predictive health outcomes. Dr. Lungren's impactful work has garnered attention from major media outlets such as NPR, Vice News, and Scientific American, and he is a sought-after speaker at national and international scientific conferences on AI in healthcare. With a strong educational background that includes an MD from the University of Michigan and a Master of Public Health from the University of North Carolina, he has significantly contributed to advancing AI technologies in clinical settings. Dr. Lungren is also recognized for his teaching efforts, including his popular course on AI in Healthcare on Coursera, which aims to make complex topics accessible to a broader audience. Through his innovative research and commitment to education, Dr. Lungren continues to shape the future of healthcare through artificial intelligence.

Dr. Serena Yeung is an Assistant Professor of Biomedical Data Science at Stanford University, with courtesy appointments in Computer Science and Electrical Engineering. She also serves as the Associate Director of Data Science for the Center for Artificial Intelligence in Medicine & Imaging and is affiliated with Stanford’s Clinical Excellence Research Center. Dr. Yeung's research focuses on developing advanced computer vision, machine learning, and deep learning techniques to interpret a wide range of visual data, including medical images, video captures of human behavior, and cell microscopy images. Her commitment to education is reflected in her graduate-level lectures on deep learning in computer vision, which have garnered over a million views online. Before her current role, she was a Technology for Equitable and Accessible Medicine (TEAM) Fellow at Harvard University. Dr. Yeung holds a PhD from Stanford University and has contributed significantly to the field through her leadership of the Medical AI and Computer Vision Lab at Stanford, as well as her participation on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.