Shadi Badaan

Papers

Total Citations

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About

Shadi Badaan’s research lies at the intersection of medical robotics and image-guided interventions, with a primary focus on improving the precision and safety of needle-based procedures. Her most-cited work, “Does needle rotation improve lesion targeting?” (2011, 65 citations), addresses a fundamental challenge in percutaneous interventions: how to enhance targeting accuracy when accessing deep-seated lesions. By systematically investigating the effect of needle rotation during insertion, Badaan provided critical insights that inform both robotic system design and clinical technique. Her contributions are particularly significant in the context of image-guided robots, which actively position or orient needle guides while relying on physician-driven insertion. This work has shaped subsequent research in needle steering and trajectory optimization, highlighting the delicate balance between automation and human skill in interventional robotics. Badaan’s studies are essential reading for engineers and clinicians developing next-generation systems for biopsy, ablation, and drug delivery, where even millimeter-level improvements in targeting can dramatically impact patient outcomes. Her research continues to influence the design of more intuitive, accurate, and clinically viable robotic assistants for minimally invasive procedures.