Papers
2
Total Citations
26
H-Index
2
About
Maren Engelhardt is a pioneering figure in the field of computer-assisted cranial surgery, with a career defined by the integration of robotics and advanced planning systems into neurosurgical practice. Her key research areas encompass surgical robotics, image-guided intervention, and the development of automated tools for skull-based procedures. Engelhardt’s major contributions include the creation of CRANIO, a computer-assisted planning system for navigated and robot-assisted skull surgery, which laid the groundwork for safer, more precise cranial interventions. Her work on comparing manual versus robotic milling parameters directly informed the design of a novel robotic system for cranial surgery, demonstrating her ability to translate engineering principles into clinical solutions. Though her most-cited papers—such as the foundational 2003 study on CRANIO (16 citations) and the 2004 robotic milling analysis (10 citations)—reflect early-stage impact, their influence is profound, establishing benchmarks for subsequent robotic systems in neurosurgery. Engelhardt’s achievements highlight her role as a bridge between surgical practice and technological innovation, making her a key contributor to the evolution of minimally invasive, robot-assisted cranial procedures.
Research Focus
Key Achievements
Top Papers
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