University of Florida lab using A.I. to help diagnose and improve patient treatment

GAINESVILLE, Fla. (WCJB) – In this week’s Tech Tuesday, our partners at UF Innovate and SCAD Media highlight Dr. Xiang Zhong and her team at UF’s Industrial and Systems Engineering Department, who are using artificial intelligence to create digital twins that support critical care.

“What if we could use artificial intelligence to assist in critical care? We’re here at UF’s Health Engine Lab to learn more. Xiang, tell us a little bit more about who you are and what you do,” said Elora Duong, host of UF Innovate.

“Hi, Elora. I’m Xiang. I’m an associate professor at the Industrial and Systems Engineering at the University of Florida. So our lab aims to improve critical care delivery. Here at the Health Engine Lab, we’re trying to develop computational simulation models to improve critical care delivery. So, one of the things that I really want to introduce today is a virtual patient, or we call the patient a digital twin. So basically, clinicians and the medical trainees can use that to understand what is the progression of patient’s health conditions during the first six hours after their admission to the ICU. So, we really hope that that can be used as a decision support tool for clinicians to diagnose and improve treatment performance and ultimately patient outcomes,” said Dr. Xiang Zhong, associate professor at the Industrial and Systems Engineering Department at UF…

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