Damini Dey

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About

Damini Dey is a pioneering researcher in cardiovascular imaging and computational medicine, with a focus on developing advanced image-guidance technologies for minimally invasive cardiac surgery. Her early landmark work on 3-D image guidance for robotic coronary artery bypass (2000, 62 citations) established foundational methods for pre-surgical planning and intra-operative visualization, directly addressing the critical need for better tools in endoscopic coronary artery bypass grafting. This contribution helped bridge the gap between robotic surgical systems and real-time anatomical navigation, enhancing surgical precision and patient outcomes. Beyond this, Dey’s research spans non-invasive coronary imaging, including CT angiography and machine learning-based plaque analysis, where she has developed algorithms to quantify atherosclerotic disease and predict cardiac risk. Her work has been widely cited and integrated into clinical decision-making, influencing both interventional cardiology and surgical robotics. Dey’s achievements include numerous NIH-funded grants and leadership roles in cardiovascular imaging societies, reflecting her sustained impact on translating computational methods into practical clinical tools. For students and researchers, her career exemplifies how engineering innovation can directly transform surgical practice and patient care.