Future Webinar

Futures Webinar: Precision and Intelligent Systems in Medicine with Azra Bihorac

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 […]


A window to the future : Nvidia And University Of Florida

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 […]


Virtual Reality “DREAMS” Helps Patients Cope In ICU

Virtual Reality “DREAMS” Helps Patients Cope In ICU Home And Science Article DREAMs trail  Bold Voices The stress and isolation Dr.Bihorac witnessed as an attending physician at UF Health Shands […]

Cardiac and Vascular Surgery–Associated Acute Kidney Injury: A Fresh New Read!

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 […]


Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics

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 […]

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The impact of age on the innate immune response and outcomes after severe sepsis/septic shock in trauma and surgical intensive care unit patients.

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 […]

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Optimizing Care of Critical Patients with AI

Optimizing Care of Critical Patients with AI

Established in 2013, PrismaP is changing the face of medicine through the use of intelligent, data-driven algorithms.

Bringing together experts in Medicine, Health Policy Research, and Computer Engineering, our partnership combines modern approaches to modeling, signal processing, and machine learning in order to develop and refine data analysis methods. The predictive models, physiologic markers and clinical reasonings generated by Prisma P will serve to facilitate patient care in perioperative environments.