Benjamin T. Ostrander

University of San Diego, University of California System, University of California San Diego

Papers

Total Citations

H-Index

About

Benjamin T. Ostrander is a rising researcher at the forefront of surgical robotics and automation, with a focus on enhancing precision and autonomy in the operating room. His work spans three critical areas: autonomous suturing, concentric tube robot design, and computer vision for hemostasis management. Ostrander’s most-cited paper, “The current state of autonomous suturing: a systematic review” (2024, 27 citations), provides a comprehensive landscape of progress and challenges in robotic suturing, serving as a foundational resource for the field. In “Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery” (2024), he addresses manufacturing uncertainties in these miniaturized robots, proposing design solutions for navigating constrained surgical environments—a key step toward clinical translation. His equally notable work, “HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management” (2024, 3 citations), introduces a novel dataset to enable automated detection of hemorrhage, aiming to reduce cognitive load on surgeons during critical bleeding events. By bridging robotics, design, and vision, Ostrander is shaping the next generation of intelligent surgical tools.