Liane S. Feldman

McGill University, McGill University Health Centre

Papers

Total Citations

146

H-Index

About

Liane S. Feldman is a leading figure in surgical innovation, whose work fundamentally reshapes how we train surgeons and integrate cutting-edge technology into the operating room. Her research is anchored in two critical domains: defining the learning curves for minimally invasive procedures and pioneering the next generation of robotic and augmented reality (AR) surgical systems. Her landmark 2014 systematic review on learning curves for minimally invasive abdominal surgery, cited over 138 times, established a gold-standard framework for assessing surgical skill acquisition, directly impacting residency training and the safe adoption of new techniques. Beyond education, Dr. Feldman is at the forefront of surgical robotics, designing and evaluating AR-enhanced robotic systems for high-stakes interventions like epidural injections, and developing novel soft sensors with deep learning calibration for minimally invasive surgery. This work, aimed at improving precision and patient safety, demonstrates her commitment to translating complex engineering into practical clinical tools. With recent publications in top journals like *JAMA Surgery*, Dr. Feldman’s career exemplifies a powerful synergy between rigorous surgical education research and the development of intelligent, safer surgical technologies.