Sten Rasmussen
Papers
5
Total Citations
51
H-Index
5
About
Dr. Sten Rasmussen is a pioneering researcher at the intersection of robotic surgery and artificial intelligence, with a primary focus on automating surgical skills assessment and optimizing intraoperative conditions. His major contributions include developing deep learning models that recognize surgical actions and objectively evaluate surgeon proficiency using only video data—work that promises to replace resource-intensive expert evaluations. Rasmussen’s highly cited 2023 paper on acquiring robotic surgical data for machine learning analysis (18 citations) laid the groundwork for this field, while his 2025 studies on action recognition in porcine models (14 citations) and cardiac surgery simulation (6 citations) demonstrate the translational potential of his methods. Beyond AI, he has advanced clinical practice through randomized trials on low-pressure pneumoperitoneum during robot-assisted prostatectomy (8 citations), showing improved patient recovery without compromising surgical workspace—a concept he also validated with a novel rating scale (5 citations). His work has been published in leading surgical journals, and his triple-blinded study design exemplifies methodological rigor. With a growing citation impact and a clear trajectory toward AI-driven surgical education, Dr. Rasmussen is shaping the future of how surgeons are trained and assessed.
Research Focus
Key Achievements
Top Papers
- 1Acquisition and usage of robotic surgical data for machine learning analysis18 citations · 2023
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- 5Validation of a surgical workspace scale during robot‐assisted surgery5 citations · 2022