Date(s) - October 14, 2022
11:45 am - 12:35 pm
Categories No Categories
Date : Friday, October 14, 2022
Mode : Virtual
Affiliation: University of Florida
Bio: Visit Page
Title: “How to Use AI for Critical Care Monitoring?”
Abstract: While monitoring critically ill patients through manual assessments and diagnoses is still considered the gold standard, manual methods impose severe time and personnel resources limitations. Many critical care indices are currently repetitively assessed by overburdened Intensive Care Unit (ICU) nurses, e.g., physical function. Other essential information about patients and their environment are not captured or captured in a non-granular manner, e.g., cognitive function, or sleep disturbance factors such as bright light, loud background noise, patient agitation, or excessive visitations. There is a critical unmet need for real-time interpretable, dynamic, and precise patient assessment in the ICU that integrates pervasive sensing and Artificial Intelligence (AI) with continuous physiologic measurement and clinical data. We have developed an Intelligent ICU system to augment clinical data, physiological, and biomarkers with pervasive sensing data to uncaptured or manually captured critical care indices. This forms the vision and our long-term goal of sensing, quantifying, and communicating a patient’s condition in a precise and interpretable manner.
The main goal of this talk would be to expose the audience to the possibilities of using pervasive sensing and AI in the ICU and how that can change the current practice. This will also open up the discussion on using intelligent and pervasive health technology in hospitals and what future hospitals will look like.
Bio: Dr. Parisa Rashidi is an associate professor at the J. Crayton Pruitt Family Department of Biomedical Engineering (BME) at the University of Florida (UF). She is also affiliated with the Electrical & Computer Engineering (ECE) and Computer & Information Science & Engineering (CISE) departments. She is the director of the “Intelligent Health Lab” (i-Heal), and the co-diretcor of the Intelligent Critical Care Center (IC3). Her research aims to bridge the gap between machine learning and patient care.
Dr. Rashidi is a National Science Foundation (NSF) CAREER awardee, the National Institute of Health (NIH) Trail Blazer Awardee, Herbert Wertheim College of Engineering Leadership Excellence Awardee, Herbert Wertheim College of Engineering Assistant Professor Excellence Awardee, and a recipient of the UF term professorship. She is also a recipient of UF’s Provost excellence award for assistant professors; with more than 500 tenure-track assistant professors at UF, Dr. Rashidi is one of only 10 to receive this award. She was invited by the National Academy of Engineering (NAE) as one of only 38 outstanding US engineers under 45 to participate in the EU-US Frontiers of Engineering (FOE) Meeting. To date, she has authored 140+ peer-reviewed publications. She has chaired six workshops and symposiums on intelligent health systems and has served on the program committee of 20+ conferences. Dr. Rashidi’s research has been supported by local, state, and federal grants, including awards from the National Institutes of Health (NIBIB, NCI, and NIGMS) and the National Science Foundation (NSF).
Expertise: Machine Learning, Clinical Informatics, Smart Health, Deep Learning