Gilles Thuysbaert

Ghent University Hospital

Papers

1

Total Citations

19

H-Index

1

About

Gilles Thuysbaert is a leading orthopedic surgeon and researcher whose work centers on advancing total knee arthroplasty (TKA) through robotic assistance and standardized laxity testing. His most-cited study, published in 2022, provides critical insights into the learning curve for imageless robot-assisted TKA, demonstrating that surgeons require nine cases to achieve proficiency but that the procedure does not yet reach time neutrality compared to conventional surgery. This finding has practical implications for surgical training and operating room efficiency, helping hospitals and surgeons optimize the adoption of robotic technologies. With 19 citations, the paper has already influenced discussions on the balance between technological precision and procedural workflow. Beyond this work, Thuysbaert's research contributes to improving implant alignment, soft-tissue balance, and patient outcomes in knee replacement. His focus on evidence-based implementation of robotics ensures that innovation is paired with rigorous evaluation, making his work essential reading for surgeons and researchers navigating the evolving landscape of arthroplasty.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
The learning curve of imageless robot-assisted total knee arthroplasty with standardised laxity testing requires the completion of nine cases, but does not reach time neutrality compared to conventional surgery
19 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Ghent University Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago