Papers
3
Total Citations
85
H-Index
2
About
Grace Burke is a leading researcher in robotic surgery education, whose work is shaping how surgeons are trained for the operating room of the future. Her primary research areas include simulation-based training, objective performance assessment, and the development of scalable, vendor-neutral curricula. Burke’s major contributions are twofold: first, she has pioneered the use of 3D computer-generated synthetic organs for high-fidelity simulation, a breakthrough detailed in her most-cited work, “A review of simulation training and new 3D computer-generated synthetic organs for robotic surgery education” (57 citations). Second, she has established the foundational framework for clinically relevant performance metrics (CRPMs), as shown in her systematic review (26 citations), which argues that objective, procedure-specific feedback is essential for linking training to patient outcomes. Her most recent work, a prospective study on a platform-agnostic robotic surgery curriculum (2025), addresses the critical gap of uneven, vendor-tied training programs. With a growing citation record and a focus on practical, scalable solutions, Burke is a pivotal figure in ensuring that the next generation of robotic surgeons is trained to the highest, most objective standards.
Research Focus
Key Achievements
Top Papers
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