Join Prof. Bihorac to find out how a multidisciplinary research group of experts in data science, AI, and clinical informatics is developing intelligent clinical decision-making systems and technologies to optimize health care system delivery. Clinical decision-making is dominated by hypothetical-deductive reasoning, individual judgment, and heuristics. These factors can lead to…
Nvidia And University Of Florida Supercharge Education With AI Supercomputer Nvidia and The University of Florida (UF) are in engaging in a unique public-private partnership that could result in the development of the largest university AI supercomputer in the United States, and perhaps the world. The project is anchored by…
UFL ece news “Augmented Decision Making – How to Implement Machine Learning Prediction into Research and Clinical Care” Thursday, Jan. 16 at 1:00 pm LAR 330 Abstract Clinical decision-making is dominated by hypothetical-deductive reasoning, individual judgment, and heuristics. These factors can lead to bias, error, and preventable harm.
SCCM Pod-400 Are AKI Biomarkers Ready for Clinical Use Kyle B. Enfield, MD, FCCM, and Azra Bihorac, MD, MS, FCCM, discuss best practices and complexities of implementing biomarkers for kidney stress and acute kidney injury (AKI) and what the future holds for AKI biomarker literature. Dr. Bihorac was…
Virtual Reality “DREAMS” Helps Patients Cope In ICU Home And Science Article DREAMs trail The stress and isolation Dr.Bihorac witnessed as an attending physician at UF Health Shands Hospital led her and her colleague Marko Suvajdzic to develop DREAMS, a virtual reality…
Virtual reality DREAMS lead to rehabilitation for ICU patients DREAMs (Post By College of The Arts, UF) While virtual reality technology is gaining popularity in a variety of contexts from video games to fitting rooms, researchers at the University of Florida are discovering how VR can…
http://explore.research.ufl.edu/better-patient-care.html AI system delivers fast, accurate patient data …
Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk score prediction models are limited in their generalizability and do not fully utilize the physiological intraoperative time-series data. Thus, there is a need…
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions of nonverbal patients. In addition, many essential information on patients and their environment are not captured…
