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)
Intelligent Human-Centered Health Care
Acute Kidney Injury
Transformative Medical AI Research
Artificial intelligence-enabled decision support in nephrologyNature 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.
Aligning Patient Acuity With Resource Intensity After Major SurgeryAnnals 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.
Artificial Intelligence for AKI Now: Let’s Not Await Plato’s Utopian RepublicKidney 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.
Characterization and Outcomes of Hospitalized Children With Coronavirus DiseaseCritical 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.