Jeffrey Stoll

Boston University, Siemens Healthcare (United States)

Papers

Total Citations

213

H-Index

About

Jeffrey Stoll is a leading figure in surgical robotics and image-guided intervention, with a career dedicated to enhancing the precision and autonomy of minimally invasive procedures. His foundational work addresses critical challenges in robot-assisted surgery, from planning to real-time execution. Stoll’s most influential contribution is his pioneering research on port placement planning for robot-assisted coronary artery bypass grafting (CABG), a 2003 paper with 68 citations that automated the selection of optimal entry points to improve surgical efficiency. He further revolutionized the field by developing real-time 3D ultrasound-guided robotic systems, demonstrated in two highly cited papers (47 and 44 citations) that enable autonomous instrument navigation without external trackers—a breakthrough for procedures where line-of-sight is limited. Stoll also advanced force control for grasping soft tissue, balancing stability and tissue safety, a critical step toward safer autonomous surgical manipulation. His comprehensive 2009 review on image-guided surgical interventions synthesizes these contributions, cementing his role as a key innovator. With a publication record spanning over a decade, Stoll’s work has laid the groundwork for smarter, more responsive surgical robots, directly impacting clinical practice and inspiring a generation of researchers in medical robotics.