Keshuai Xu
Papers
5
Total Citations
46
H-Index
4
About
Keshuai Xu is a pioneering researcher at the intersection of surgical robotics, medical imaging, and intraoperative guidance systems. His primary contributions lie in developing real-time, multi-modal imaging platforms that enhance the precision and safety of robot-assisted minimally invasive surgery. Xu’s most impactful work introduces the first integrated real-time guidance system for the da Vinci surgical robot, combining transrectal ultrasound and photoacoustic imaging with photoacoustic markers to enable co-registered visualization during procedures (16 citations). He also advanced ultrasound-guided spine interventions with the “AutoInFocus” paradigm, validated across multiple platforms (13 citations), and pioneered low-cost, point-of-care ultrasound imaging using a single-element transducer and delta actuator, democratizing access to image-guided interventions (11 citations). As a key contributor to the next-generation da Vinci Research Kit (dVRK-Si), Xu is shaping open-source surgical robotics research, with the platform now installed at over 40 institutions. His work on force estimation methods for the da Vinci Si system addresses the critical lack of haptic feedback in earlier models. With cumulative citations exceeding 46 and growing, Xu’s innovations are laying the groundwork for safer, more accessible, and more intelligent surgical systems.
Research Focus
Key Achievements
Top Papers
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- 4dVRK-Si: The Next Generation da Vinci Research Kit5 citations · 2025
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