Huijiao Sun

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About

Huijiao Sun is a researcher whose work sits at the intersection of medical robotics and image-guided surgery, with a particular focus on urological interventions. Her primary research area involves developing computational methods to enhance robotic-assisted surgical systems, especially for minimally invasive procedures like flexible ureteroscopy. Sun’s most cited paper, “Path planning of flexible ureteroscope based on CT Image” (2019), addresses a critical challenge in robotic urological surgery: enabling a robot to autonomously navigate a flexible ureteroscope through the urinary tract. By leveraging CT imaging data, she proposed a path-planning algorithm that allows the robot to move the scope safely and accurately, effectively acting as the surgeon’s “eye” during the procedure. This contribution is foundational for improving the precision and automation of robotic systems in urology. With 4 citations, her work has laid important groundwork for future studies in surgical navigation and robotics. Sun’s research is particularly notable for its direct clinical applicability, aiming to reduce human error and enhance patient outcomes in complex urinary surgeries. Her efforts represent a meaningful step toward smarter, more autonomous surgical tools.