Sara Condino

University of Pisa

Papers

10

Total Citations

129

H-Index

6

About

Sara Condino is a biomedical engineer whose research sits at the intersection of surgical robotics, patient-specific modeling, and augmented reality. Her work focuses on developing advanced tools and simulations to improve the precision and safety of minimally invasive surgeries, particularly in spine, vascular, and cardiothoracic procedures. Her most cited paper, "An optimal design for patient‐specific templates for pedicle spine screws placement" (31 citations), addresses the high error rates in free-hand screw placement by introducing customized templates derived from CT data. She has also made significant contributions to surgical simulation, including a stomach simulator for endoluminal robots (22 citations) and a patient-specific virtual and physical platform for evaluating surgical robot movability in cardiothoracic surgery. More recently, Condino has explored robotic-based in situ bioprinting for tissue regeneration (23 citations) and co-authored a comprehensive review on bioengineering and augmented reality in vascular surgery (21 citations). Her work on the ValveTech robotic system for minimally invasive aortic valve replacement and low-cost stitching methods for three-eyed endoscopes further demonstrates her commitment to translating engineering innovations into clinical practice. With over 120 total citations, Condino’s research continues to shape the future of surgical robotics and personalized medicine.

Research Focus

Key Achievements

6
H-Index
10
Papers
129
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An optimal design for patient‐specific templates for pedicle spine screws placement
31 citations · 2012
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: University of Pisa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago