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  • RSNA 2018 Thursday Plenary Lecture

    Toward Ambient Intelligence in AI-Assisted Health Care Spaces


    August 17, 2018

     

    Fei-Fei Li, PhD, will present the plenary lecture on Thursday, Nov. 29 at 2 p.m. in the Arie Crown Theater. 

    Artificial intelligence (AI) has begun to impact health care in areas including electronic health records, medical images and genomics. But one aspect of health care that has been largely left behind thus far, says Dr. Li, is the physical environment in which health care delivery takes place: hospitals, clinics and assisted living facilities, among others.

    In Dr. Li’s plenary lecture, she will discuss her team’s work on endowing health care spaces with ambient intelligence, using computer vision-based human activity understanding in the health care environment to assist clinicians with complex care.

    She will present pilot implementations of AI-assisted health care spaces equipped with visual sensors and discuss her work on human activity understanding, a core problem in computer vision. Deep learning (DL) methods for dense and detailed recognition of activities will be covered, including efficient action detection, important requirements for ambient intelligence in the context of several clinical applications. Dr. Li will discuss future directions for integrating this new source of health care data into the broader clinical data ecosystem.

    Dr. Li is a professor in the Stanford University Computer Science Department and director of the Stanford Artificial Intelligence Lab. In 2017, she also joined Google Cloud as chief scientist of AI and machine learning. Her research interests include machine learning, DL, computer vision and cognitive and computational neuroscience. She has published approximately 200 scientific articles in journals including Nature, Journal of Neuroscience and New England Journal of Medicine.

    Dr. Li invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in computer vision and deep learning in AI.

    She has been a keynote or invited speaker at many conferences, including the World Economics Forum, the Grace Hopper Conference, and the TED2015 main conference. Her contributions have been well recognized with honors including the 2017 Athena Academic Leadership Award, IAPR 2016 J.K. Aggarwal Prize, the 2016 NVIDIA Pioneer in AI Award, 2014 IBM Faculty Fellow Award and a number of Google Research awards.

    Work from Dr. Li's lab has been featured in the popular press including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine and Financial Times.

    A national leading voice advocating for diversity in STEM and AI, Dr. Li is a co-founder of Stanford’s renowned SAILORS outreach program for high school girls and the national non-profit AI4ALL. She was recognized among the 2017 Women in Tech by ELLE Magazine, received a 2017 Awesome Women Award from Good Housekeeping, was named a Global Thinker of 2015 by The Foreign Policy Group and selected as one of the 2016 Great Immigrants by the Carnegie Corporation.

    Dr. Li obtained her bachelor’s degree with high honors in physics from Princeton and her doctorate degree in electrical engineering from California Institute of Technology. She joined Stanford in 2009 as an assistant professor and was promoted to associate professor with tenure in 2012. She was previously on faculty at Princeton University and the University of Illinois Urbana-Champaign.




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