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…

http://explore.research.ufl.edu/better-patient-care.html AI system delivers fast, accurate patient data  …

Abstract Acute kidney injury (AKI) occurs in 7% to 18% of hospitalized patients and complicates the course of 50% to 60% of those admitted to the intensive care unit, carrying both significant mortality and morbidity.1 Even though many cases of AKI are reversible within days to…

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…

Abstract Introduction Advancing age is a strong risk factor for adverse outcomes across multiple disease processes. However, septic surgical and trauma patients are unique in they incur two or more inflammatory insults. The effects of advanced age on sepsis pathophysiology and outcomes remain unclear. Methods We performed a single center,…

Similarities and redundancies in the pathophysiology of patients with sepsis, cancer, and advanced age. Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy Clinical and technological advances promoting early hemorrhage control and physiologic resuscitation as well as early diagnosis and optimal treatment of sepsis…

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require manual, time-consuming, and error-prone calculations that are further hindered by the use of static variable thresholds derived from aggregate patient populations. These…

My Surgery Risk: Next Generation Intelligent Platform for Clinical Decisions Support. Azra Bihorac, MD,MF,FCCM, FASN Tuesday, November 27, 2018 7:00 – 7:45 AM Urology Conference Room M-203C…