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About

Charlotte Allaeys is a pioneering researcher at the intersection of robotic surgery, augmented reality (AR), and artificial intelligence. Her primary research focuses on enhancing surgical precision and safety through real-time, deep-learning-driven AR overlays, particularly in urological procedures like robotic renal surgery and radical prostatectomy. Her most influential work, “Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery” (69 citations), tackles a critical barrier to AR adoption: the poor visibility of surgical instruments. By developing a deep-learning model to delineate tools in real time, she enables more accurate and intuitive AR guidance during complex operations. Allaeys also contributed foundational insights to the surgical AI community with her multicentric study on tool annotation (31 citations), offering practical lessons for launching AI projects in the operating room. Additionally, her work on the Retzius-sparing approach to robot-assisted radical prostatectomy (9 citations) demonstrates her commitment to translating technical innovations into safer, more effective clinical outcomes. Through her research, Allaeys is shaping the future of computer-assisted surgery, making it smarter, safer, and more accessible.