Thijmen de Taeye

Ghent University Hospital

Papers

1

Total Citations

19

H-Index

1

About

Thijmen de Taeye is a leading orthopedic researcher whose work focuses on advancing total knee arthroplasty (TKA) through robotic assistance and standardized surgical techniques. His most-cited study, published in 2022, investigates the learning curve associated with imageless robot-assisted TKA, demonstrating that surgeons require completion of nine cases to achieve proficiency, though the procedure does not reach time neutrality compared to conventional surgery. This work has garnered 19 citations, highlighting its significance in guiding surgical training and adoption of robotic technologies. De Taeye’s research addresses critical challenges in orthopedic surgery, including optimizing surgical precision, reducing variability, and improving patient outcomes. By quantifying the learning curve and emphasizing the need for standardized laxity testing, his contributions provide actionable insights for surgeons transitioning to robotic platforms. His findings are particularly valuable for institutions implementing robotic TKA programs, offering evidence-based benchmarks for training and efficiency. Through his meticulous analysis, de Taeye continues to shape best practices in joint replacement surgery, bridging the gap between innovation and clinical application.

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