Kian Lahiji

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About

Kian Lahiji is a leading researcher in robotic cardiac surgery, with a focused expertise in patient-specific anatomical predictors of surgical outcomes. His most-cited work, "Patient anatomy predicts operative time in robotic totally endoscopic coronary artery bypass surgery" (2014, 12 citations), represents a pivotal contribution to the field. In this study, Lahiji systematically demonstrated that variations in thoracic anatomy directly correlate with the intraoperative time required to complete robotic totally endoscopic coronary artery bypass (TECAB) procedures. This finding has significant clinical implications, enabling surgeons to better anticipate operative complexity and optimize patient selection for minimally invasive approaches. By bridging the gap between preoperative imaging and surgical planning, Lahiji’s research enhances the precision and efficiency of robotic coronary bypass. His work stands as a foundational reference for studies on anatomical risk stratification in robotic cardiac surgery, influencing both surgical practice and future device design. Lahiji’s contributions underscore the importance of personalized anatomy in advancing minimally invasive cardiac care, making his research essential reading for clinicians and trainees in cardiothoracic surgery.