CS-ECE Colloquium: Towards Ambient Intelligence in AI-Assisted Hospitals
Artificial intelligence has begun to impact healthcare in areas including electronic health records, medical images, and genomics. But one aspect of healthcare that has been largely left behind thus far is the physical environments in which healthcare delivery takes place: hospitals and assisted living facilities, among others. In this talk I will discuss my work on endowing hospitals with ambient intelligence, using computer vision-based human activity understanding in the hospital environment to assist clinicians with complex care. I will first present an implementation of an AI-Assisted Hospital where we have equipped units at two partner hospitals with visual sensors. I will then discuss my work on human activity understanding, a core problem in computer vision. I will present deep learning methods for dense and detailed recognition of activities, and efficient action detection, important requirements for ambient intelligence. I will discuss these in the context of two clinical applications, hand hygiene compliance and automated documentation of intensive care unit activities. Finally, I will present work and future directions for integrating this new source of healthcare data into the broader clinical data ecosystem, towards full realization of an AI-Assisted Hospital.