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About

Xuelong Fan is a researcher at the forefront of surgical ergonomics and human factors engineering, with a primary focus on mitigating work-related musculoskeletal disorders (MSDs) among surgeons. Their key research areas include the comparative physical workload of open versus robot-assisted surgery, the ergonomic evaluation of surgical consoles, and the application of digital human manikins (DHMs) for virtual pre-production assessments. Fan’s most cited work, “Surgeons’ physical workload in open surgery versus robot-assisted surgery and nonsurgical tasks” (2022, 28 citations), provides critical insights into the conflicting correlations between surgical modalities and MSD prevalence, highlighting the need for rationalized workstation design. They have also pioneered the use of DHMs to simulate dynamic work scenarios, as seen in their study on a prototype robotic surgery console (2018), and explored the potential revival of population-representing manikins for static evaluations (2021, 3 citations). Additionally, Fan’s comparison of a novel glasses-free 3D vision system with conventional 3D laparoscopy (2019) advances surgical performance metrics. With a cumulative impact of over 37 citations, Fan’s work directly informs safer, more ergonomic surgical environments, making their research invaluable for surgeons, engineers, and occupational health specialists.