Aristotelis Dosis
Papers
7
Total Citations
730
H-Index
6
About
Aristotelis Dosis is a pioneering researcher in robotic-assisted surgery, with a career focused on enhancing surgical dexterity and objectively assessing technical skills. His work centers on the learning curves, motion analysis, and stereoscopic vision benefits of telemanipulator systems like the da Vinci robot. Dosis’s most influential contribution is his 2004 study on "Dexterity enhancement with robotic surgery," which has garnered 324 citations, establishing a foundational understanding of how robotic systems improve precision in minimally invasive procedures. He further advanced the field by developing ROVIMAS, a software package for assessing surgical skills using the da Vinci system, and by co-creating the JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS), a benchmark dataset for predictive skill models. His 2004 analysis of the learning curve for simulated surgical tasks (173 citations) and his demonstration of stereoscopic vision’s benefits (161 citations) have shaped training protocols and system design. Dosis’s work bridges engineering and clinical practice, providing tools and insights that enable safer, more effective robotic surgery, making him a key figure in surgical robotics research.
Research Focus
Key Achievements
Top Papers
- 1Dexterity enhancement with robotic surgery324 citations · 2004
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- 6General Papers 1011 citations · 2002
- 7