Papers
3
Total Citations
12
H-Index
2
About
Liel Luko’s research lies at the intersection of cognitive science and robot-assisted surgery, with a sharp focus on how spatial skills shape surgeon performance. Her work identifies a critical gap: while surgical training emphasizes technical dexterity, it often neglects the spatial reasoning needed to operate systems like the Da Vinci robot. In a landmark 2019 randomized trial, Luko demonstrated that a single-session spatial skill trainer could significantly improve surgical performance—a breakthrough with direct implications for training efficiency and patient outcomes. Her earlier cognitive task analysis of hysterectomy procedures (2017) systematically mapped how perspective-taking and spatial judgment influence teleoperation, laying the groundwork for targeted interventions. By showing that surgeons can be trained to better mentally rotate, judge relative directions, and adopt different perspectives during remote operations, Luko has opened a new avenue for surgical education. Though her citation counts are modest—7 for her trainer study—her work is foundational, addressing a previously overlooked cognitive bottleneck in robotic surgery. For students and researchers, Luko’s research is a compelling reminder that the next frontier in surgical excellence may not be a better robot, but a better-trained mind.
Research Focus
Key Achievements
Top Papers
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