Lisa Spahn Lundgren

Stryker (Netherlands)

Papers

1

Total Citations

12

H-Index

1

About

Dr. Lisa Spahn Lundgren is a pioneering orthopaedic researcher whose work lies at the intersection of surgical precision and artificial intelligence, with a primary focus on robotic-assisted total knee arthroplasty (TKA). Her landmark 2024 study, "Surgical factors play a critical role in predicting functional outcomes using machine learning in robotic-assisted total knee arthroplasty," has already garnered 12 citations, establishing her as a leading voice in personalized joint replacement surgery. Dr. Lundgren’s major contribution is demonstrating that machine learning models can identify which surgical variables—such as implant positioning and soft-tissue balancing—most significantly predict patient recovery and mobility after TKA. This work challenges traditional one-size-fits-all approaches by showing that intraoperative factors, not just patient demographics, are decisive for functional success. Her research bridges the gap between cutting-edge robotics and data-driven prognostics, offering surgeons actionable insights to tailor procedures for optimal outcomes. By integrating predictive analytics into the operating room, Dr. Lundgren is helping to transform TKA from a standardized operation into a truly personalized intervention, with profound implications for reducing complications and improving long-term quality of life for millions of patients worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Surgical factors play a critical role in predicting functional outcomes using machine learning in robotic‐assisted total knee arthroplasty
12 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Stryker (Netherlands)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago