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About

Joshua Shubert is a pioneering researcher at the intersection of medical imaging and robotic surgery, whose work centers on advancing photoacoustic guidance for minimally invasive procedures. His primary contributions lie in developing photoacoustic-based visual servoing systems that enable real-time, high-precision tracking of surgical tools—particularly needle tips—in challenging clinical environments. Shubert’s most cited work, “Photoacoustic-based visual servoing of a needle tip” (2018, 72 citations), addresses the critical problem of tool localization in intraoperative settings where traditional ultrasound is hindered by acoustic clutter and metallic artifacts. He further demonstrated the feasibility of this approach for teleoperated hysterectomies (45 citations), showing how photoacoustic imaging can help surgeons avoid accidental injury to delicate structures like the ureters. Notably, his research also tackles the heightened difficulties of performing biopsies on obese patients (23 citations), where multiple tissue layers obscure needle visualization. By integrating photoacoustic guidance with the da Vinci surgical robot, Shubert has opened new pathways for safer, more accurate robotic surgeries, making his work highly influential in the fields of surgical navigation and interventional imaging.