Chun‐Yi Zac Lo

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About

Chun‐Yi Zac Lo is a researcher specializing in medical robotics and surgical navigation, with a focus on ultrasound-guided systems for minimally invasive surgery (MIS). His major contribution lies in advancing ultrasound calibration techniques to enhance spatial accuracy in dual-armed surgical navigation systems. In his most cited work, "Ultrasound Calibration for Dual-Armed Surgical Navigation System" (2022), Lo proposed a novel calibration method that minimizes coordinate discrepancies between surgical instruments and ultrasound imaging, directly addressing a critical challenge in precision positioning for robotic-assisted procedures. This work has garnered 3 citations, reflecting its emerging relevance in the field. Lo’s research bridges the gap between imaging technology and robotic control, aiming to improve the safety and efficacy of MIS. His achievements include developing calibration frameworks that enable more reliable instrument tracking, which is foundational for future autonomous or semi-autonomous surgical systems. For students and researchers, Lo’s work exemplifies how targeted technical improvements—such as calibration accuracy—can have outsized impacts on clinical outcomes, making him a notable contributor to the evolving landscape of computer-assisted surgery.