Nathalie Willems
Papers
2
Total Citations
15
H-Index
2
About
Nathalie Willems is a pioneering researcher in orthopaedic surgery, with a focused expertise in robotic‑assisted total knee arthroplasty (TKA) and the application of machine learning to improve surgical outcomes. Her work bridges the gap between personalised medicine and advanced surgical technology, demonstrating how predictive models can identify critical surgical factors that influence functional recovery after TKA. In her highly cited 2024 study, Willems showed that machine learning can effectively predict functional outcomes, emphasising the importance of patient‑specific surgical planning over traditional neutral alignment. This contribution has already garnered 12 citations, reflecting its immediate impact on the field. Additionally, her exploration of alternative alignment schemas—such as kinematic and functional approaches—challenges long‑standing paradigms and offers new pathways for individualised care. Willems’ research is shaping the next generation of orthopaedic practice, where data‑driven, patient‑centred techniques promise to enhance recovery and quality of life for thousands of patients undergoing joint replacement.
Research Focus
Key Achievements
Top Papers
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