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About

Benjamin D. Killeen is a pioneering researcher at the intersection of robotics, artificial intelligence, and interventional radiology, whose work is transforming how surgeons interact with complex medical imaging systems. His primary research areas include autonomous robotic X-ray systems, natural language interfaces for surgical tools, and digital twin technology for operating room planning. Killeen’s major contributions center on developing intelligent, semi-autonomous systems that reduce radiation exposure and simplify surgical workflows. His landmark paper, "Take a shot! Natural language control of intelligent robotic X-ray systems in surgery" (2024, 16 citations), introduces a paradigm where surgeons can verbally command robotic C-arms to capture desired X-ray views, eliminating cumbersome joystick controls. This work builds on his earlier "Autonomous X-ray image acquisition and interpretation system" (2023, 11 citations), which demonstrated real-time image analysis for pelvic fracture fixation. Killeen also pioneered "Neural digital twins" (2024, 10 citations), reconstructing complex medical environments for virtual reality-based spatial planning—a tool that helps surgical teams anticipate procedural challenges before entering the OR. His innovative "SyntheX" framework (2022) addresses the critical shortage of surgical X-ray data by generating realistic in silico training images for AI systems. With a growing citation record and multiple patents pending, Killeen’s work is laying the foundation for the next generation of intelligent, language-driven surgical robotics.