Autonomous Robots in Surgery: How Does AI Fit In?
This presentation reviews how artificial intelligence advances autonomous surgical robotics and outlines how learning based systems influence future procedural workflows.
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Axel Krieger, PhD, is an Associate Professor of Mechanical Engineering at Johns Hopkins in Baltimore, Maryland. Dr. Krieger specializes in both the fundamental and translational development of novel tools, imaging, and robot control techniques for medical robotics. His research investigates methodologies that increase smartness and autonomy and improve image guidance of medical robots to perform previously impossible tasks, improve efficiency, and ultimately enhance patient outcomes.
Dr. Krieger earned his undergraduate and master’s degrees at the University of Karlsruhe in Germany. He then earned his PhD at Johns Hopkins, where he pioneered an MRI-guided prostate biopsy robot used in more than 50 patient procedures at three hospitals.
Dr. Krieger also serves as the Director of the Intelligent Medical Robotic Systems and Equipment Lab at Johns Hopkins. He is also a member of the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare. Dr. Krieger currently holds more than 30 patents and patent applications, and was awarded the National Science Foundation’s prestigious Early CAREER Award to support his research on advancing autonomy for soft tissue robotic surgery and interventions. His team won the Best Innovation award in the Medical Robotics for Contagious Disease Challenge at the 2021 Hamlyn Symposium.
Axel Krieger, PhD | Feb 2026
This presentation reviews how artificial intelligence advances autonomous surgical robotics and outlines how learning based systems influence future procedural workflows.
Read More