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Azra Bihorac - University of Florida. Gainesville, FL, US

Azra Bihorac

Professor/M.D. | University of Florida

Gainesville, FL, UNITED STATES

Dr. Azra Bihorac’s research focuses on a computing framework for developing and deploying AI and pervasive sensing techniques.


Dr. Azra Bihorac is the senior associate dean for research affairs in the College of Medicine. Dr. Bihorac's research focuses on a trustworthy, reproducible, sustainable and ethical computing framework for developing and deploying artificial intelligence and pervasive sensing techniques for medical applications.

Areas of Expertise (12)

Data Science

Machine Learning

Intelligent Human-Centered Health Care

Clinical Informatics

Precision Medicine

Acute Kidney Injury


Critical Illness

Quantitative Research

Transformative Medical AI Research

Artificial Intelligence

Deep Learning


Articles (4)

Artificial intelligence-enabled decision support in nephrology

Nature Reviews Nephrology

Tyler Loftus, et. al


Kidney pathophysiology is often complex, nonlinear and heterogeneous, which limits the utility of hypothetical-deductive reasoning and linear, statistical approaches to diagnosis and treatment. Emerging evidence suggests that artificial intelligence (AI)-enabled decision support systems — which use algorithms based on learned examples — may have an important role in nephrology.

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Aligning Patient Acuity With Resource Intensity After Major Surgery

Annals of Surgery

Tyler Loftus, et. al


Develop unifying definitions and paradigms for data-driven methods to augment postoperative resource intensity decisions. Postoperative level-of-care assignments and frequency of vital sign and laboratory measurements (ie, resource intensity) should align with patient acuity. Effective, data-driven decision-support platforms could improve value of care for millions of patients annually.

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Artificial Intelligence for AKI Now: Let’s Not Await Plato’s Utopian Republic

Kidney 360

Danielle E. Soranno, et. al


AKI is common in hospitalized adults and children, with increased morbidity, mortality, hospital length of stay and healthcare costs. Although clinicians have increasingly recognized the scale and effect of AKI, significant challenges remain in reducing AKI incidence and improving outcomes. AKI is a heterogeneous cluster of pathophysiologic processes that result in the rise of serum creatinine and/or drop in urine output.

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Characterization and Outcomes of Hospitalized Children With Coronavirus Disease

Critical Care Medicine

Utpal Bhalala, et. al


Multicenter data on the characteristics and outcomes of children hospitalized with coronavirus disease 2019 are limited. Our objective was to describe the characteristics, ICU admissions and outcomes among children hospitalized with coronavirus disease 2019 using Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: Coronavirus Disease 2019 registry. The primary outcome was ICU admission.

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