Lars Gjesteby

Papers

Total Citations

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About

Lars Gjesteby is a pioneering researcher at the intersection of artificial intelligence, medical robotics, and trauma care. His work focuses on developing autonomous systems for emergency medicine, particularly in prehospital and combat casualty settings. Gjesteby’s most cited paper, "AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access" (2021, 55 citations), addresses a critical challenge in trauma medicine: obtaining rapid central vascular access in hemorrhaging patients when evacuation is delayed. This work demonstrates his major contribution—integrating deep learning with robotic guidance to automate complex medical procedures under austere conditions. By combining AI-driven ultrasound interpretation with a handheld robotic platform, Gjesteby has advanced the feasibility of autonomous emergency interventions, potentially reducing mortality from hemorrhage. His research has been supported by the U.S. Department of Defense, highlighting its relevance to battlefield medicine. Gjesteby’s impact lies in translating cutting-edge AI and robotics into practical, life-saving tools, making him a notable figure in the growing field of autonomous medical systems.