Dr. Rishi Kamaleswaran

Biography

Rishi Kamaleswaran is an Associate Professor at Duke University, specializing in Trauma, Acute, and Critical Care Surgery. His research focuses on the application of artificial intelligence and machine learning techniques to improve healthcare delivery, particularly in critical care and perioperative medicine. He has developed predictive models addressing conditions such as sepsis and acute respiratory distress syndrome, utilizing large datasets and electronic health records. His work incorporates deep learning methods for disease diagnosis, including the detection of cardiac arrhythmias and Parkinson's disease, while his investigations into wearable sensors aim to enhance remote patient monitoring. Throughout his career, he has authored numerous publications and collaborated with clinicians to validate and implement his models in clinical practice. His goal is to leverage data-driven approaches to significantly transform patient care and outcomes.

Research Interests

Experience