Ahmed Ezzat

Imperial College London, St Mary's Hospital

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About

Ahmed Ezzat is a pioneering researcher at the intersection of surgical robotics and human-computer interaction, with a primary focus on developing intelligent assistive systems for the operating room. His work centers on creating gaze-guided robotic scrub nurses that leverage eye-tracking technology to anticipate and respond to surgeons’ needs, effectively serving as a “third hand” during procedures. Ezzat’s major contributions include the proof-of-concept for an eye-tracking based robotic scrub nurse (2021, 25 citations), which demonstrated how assistive robotic devices can enhance surgical workflow by offering greater degrees of motion and improved patient outcomes compared to conventional laparoscopy. His earlier work on a free-view, 3D gaze-guided robotic scrub nurse (2019, 13 citations) laid the groundwork for this innovation, showcasing how real-time eye movements can control robotic assistance in a sterile, hands-free manner. These studies have garnered attention for their potential to reduce cognitive load on surgical teams and increase precision. Ezzat’s research represents a significant step toward autonomous, responsive surgical environments, making him a notable figure in the field of medical robotics.