Azra Bihorac

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About

Azra Bihorac is a pioneering researcher at the intersection of artificial intelligence and critical care medicine, with a primary focus on developing machine learning and reinforcement learning frameworks for clinical decision support. Her work centers on creating intelligent systems that can learn from sequential patient interactions to improve outcomes in acute care settings, particularly for conditions like acute kidney injury and sepsis. Bihorac’s major contributions include advancing the application of reinforcement learning in healthcare, as demonstrated in her highly cited 2023 paper "Reinforcement Learning for Clinical Applications," which has already garnered 12 citations and serves as a foundational guide for integrating dynamic learning algorithms into real-world clinical workflows. Her research has profound implications for personalized treatment strategies, enabling models that adapt to patient responses over time. Beyond her technical innovations, Bihorac is recognized for bridging the gap between computational methods and bedside medicine, earning her a reputation as a leader in AI-driven precision health. Her work continues to shape how clinicians leverage data to make complex, time-sensitive decisions, with the potential to transform critical care delivery globally.