Chiara Galli de Paratesi
Papers
1
Total Citations
26
H-Index
1
About
Chiara Galli de Paratesi is a leading researcher at the intersection of surgical robotics, haptics, and simulation-based training. Her work focuses on enhancing robot-assisted surgery (RAS) training through multi-sensory feedback, particularly by integrating visual, haptic, and visuo-haptic cues to improve skill acquisition and performance. Her most cited paper, "Multi-Sensory Guidance and Feedback for Simulation-Based Training in Robot Assisted Surgery" (2021, 26 citations), provides a foundational comparison of these feedback modalities, demonstrating how augmented sensory guidance can extend the utility of simulators beyond early-stage training. This contribution addresses a critical gap in RAS education, where computer-based simulations often lack the fidelity needed for advanced skill development. Galli de Paratesi’s research has significant implications for surgical training programs, offering evidence-based strategies to improve learning outcomes and patient safety. Her work is widely recognized for its practical impact, bridging engineering and clinical practice, and continues to shape the design of next-generation surgical simulators.
Research Focus
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Top Papers
- 1