Elena Troia

University of Pisa, Scuola Superiore Sant'Anna

Papers

Total Citations

H-Index

About

Elena Troia is a leading researcher in computer-assisted and robotic surgery, with a focus on developing platforms and tools that enhance precision and training in minimally invasive procedures. Her work centers on augmented reality, human-robot cooperative control, and surgical gesture analysis. Troia’s major contributions include the creation of the EndoCAS navigator platform, a common system for computer and robotic assistance in minimally invasive surgery, which addresses the challenge of working on non-rigid anatomical structures—a significant advancement over dedicated platforms limited to rigid tissues. She also pioneered an ultrasound-guided robotic biopsy system that integrates augmented reality and cooperative control to simplify needle trajectory planning, reducing the need for extensive manual training. Her research on proficiency assessment uses a surgeon’s musculo-skeletal model to objectively evaluate laparoscopic gestures, offering metrics to improve surgical performance and robotic instrument design. With her most-cited papers garnering 26 and 24 citations respectively, Troia’s work has laid foundational insights for safer, more accessible surgical technologies. Her achievements highlight a commitment to bridging engineering and clinical practice, making her a notable figure in the evolution of computer-assisted surgery.