Yuan Bi

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About

Yuan Bi is a pioneering researcher in multi-modality robotic imaging systems, with a focus on integrating robotic cone-beam computed tomography (CBCT) and robotic ultrasound for safer, more precise image-guided interventions. His most-cited work, "Robotic CBCT meets robotic ultrasound" (2025, 6 citations), addresses a critical challenge in modern clinical practice: the limited dexterity and mobility of current imaging devices. By developing a system that fuses CT and ultrasound guidance, Bi enables optimal, real-time visualization for needle insertion and other minimally invasive procedures, significantly enhancing procedural accuracy and patient safety. This contribution is particularly impactful for interventions requiring high precision, such as biopsies and ablations. Bi’s research sits at the intersection of robotics, medical imaging, and interventional radiology, demonstrating a clear translational path from engineering innovation to clinical application. His work is gaining recognition for its potential to standardize multi-modality fusion in operating rooms, marking him as an emerging leader in robotic-assisted healthcare.