Dr. Rishi Kamaleswaran

Biography

Rishi Kamaleswaran's research focuses on the application of artificial intelligence, machine learning, and data analytics in healthcare, particularly in critical care and perioperative medicine, as well as cystic fibrosis. He has published numerous papers on the development of predictive models for sepsis, acute respiratory distress syndrome, and other critical conditions. His work utilizes large datasets, electronic health records, and physiological waveform analysis to improve patient outcomes. Kamaleswaran has explored the use of deep learning techniques for disease diagnosis and prediction, particularly in the detection of cardiac arrhythmias and Parkinson's disease. Additionally, his research investigates the potential of wearable sensors for remote patient monitoring to enhance healthcare delivery. He has collaborated with clinicians and researchers to validate and translate models into clinical practice, aiming to leverage data-driven approaches to transform healthcare and improve patient care.

Research Interests

Experience