Murong Li

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About

Murong Li is a pioneering researcher in the field of medical robotics, with a focused expertise in CT-image guided percutaneous interventions and robot-assisted surgical navigation. Their work addresses critical challenges in lung cancer diagnosis and treatment, where precision and real-time feedback are paramount. Li’s most cited paper, “A Light-weight High-accuracy 4-DOF Robot for CT-image Guided Percutaneous Interventions” (2022, 4 citations), introduces a compact robotic system designed to enhance the accuracy of needle placement during biopsy and brachytherapy procedures. This innovation directly improves physician control and patient outcomes by integrating CT imaging for precise targeting. Building on this foundation, Li’s subsequent work, “Digital Twin Model Based Robot-Assisted Needle Insertion Navigation System with Visual and Force Feedback” (2023, 2 citations), advances the field by incorporating digital twin technology to provide real-time visual and haptic feedback during needle insertion. This dual-feedback approach reduces procedural risks and enhances surgical precision. Though early in their career, Li’s contributions are already shaping the next generation of minimally invasive robotic systems, with potential to transform interventional radiology and oncology. Their research stands out for its practical focus on lightweight, high-accuracy design and integration of cutting-edge digital twin models.