Stanford University, California
Title:
Endowing Healthcare Spaces with Ambient Intelligence
Abstract:
Ambient Intelligence (AmI) defines the future vision of intelligent computing where sensors and processors are embedded into everyday devices and the environment will seamlessly adapt to the user's requirements. AmI is increasingly seeing applications in healthcare, for instance, for quality improvement, senior care at home, ensuring clinician and patient safety by monitoring staff compliance with clinical best practices, or relieving staff of burdensome documentation tasks. Despite the promise of ambient intelligence to improve the quality of care, the continuous collection of large amounts of sensor data in healthcare settings presents numerous challenges from sensor technologies, data management, technical model development, and causal inference to ethical, privacy, bias, and fairness. This workshop aims to shed light on this novel technology. In this talk, I will discuss our recent work on creating intelligent healthcare spaces in hospitals and homes using computer vision-powered AmI.
Biography:
Dr Ehsan Adeli is a faculty member at the Department of Psychiatry and Behavioral Sciences (http://med.stanford.edu/psychiatry.html), School of Medicine (http://med.stanford.edu/) at Stanford University (http://www.stanford.edu/). I am also affiliated with the Department of Computer Science (https://cs.stanford.edu/). He is a Co-Director of Stanford AGILE (Advancing technoloGy for fraIlty and LongEvity) Consortium (https://frailty.stanford.edu/) funded by the Gordon and Betty Moore Foundation (https://www.moore.org/). His interdisciplinary research group is associated with multiple labs and centers, including Computational Neuroscience (CNS) Lab (http://web.stanford.edu/group/cnslab/), Stanford Vision and Learning (SVL) (http://svl.stanford.edu/), Stanford AI Lab (SAIL) (http://ai.stanford.edu/), Stanford Partnership in AI-Assisted Care (PAC) (https://aicare.stanford.edu/), Stanford Institute for Human-Centered AI (HAI) (http://hai.stanford.edu/), Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI) (http://aimi.stanford.edu/), Wu Tsai Human Performance Alliance (https://humanperformance.stanford.edu/), and Wu Tsai Neurosciences Institute (https://neuroscience.stanford.edu/).
Homepage: https://stanford.edu/~eadeli/
Paper Submission Deadline
2024-06-30 61 DaysNotification Of Acceptance
2024-09-07 130 DaysCamera Ready Deadline
2024-10-02 155 DaysEarly Bird Registration
2024-10-02 155 DaysRegistration Deadline
2024-10-23 176 DaysConference Start
2024-10-29 182 DaysConference End
2024-10-30 183 Days