Papers

4

Total Citations

11

H-Index

2

About

Oriol Pujol is a leading researcher in the rapidly evolving field of total knee arthroplasty (TKA), with a sharp focus on surgical alignment strategies, personalized medicine, and the integration of artificial intelligence. His work critically examines the fundamental tension in modern knee replacement: whether to restore a patient’s native pre-arthritic anatomy or to aim for a standardized “optimal” prosthetic knee. Pujol’s major contributions include pioneering research on functional alignment techniques, demonstrating that this approach better preserves the femoral joint line obliquity compared to classical measured resection. He has also investigated the learning curve for robotic-assisted TKA, providing essential guidance for surgical adoption. His recent 2025 paper on alignment phenotypes and AI-powered personalization, already garnering 5 citations, is shaping the next generation of surgical decision-making. Through detailed CT-based analyses of femoral anatomical-mechanical and posterior condylar-transepicondylar axis relationships, Pujol quantifies critical errors in component positioning, directly improving surgical precision. His work is foundational for surgeons and researchers seeking to optimize patient outcomes through data-driven, individualized arthroplasty.

Research Focus

Key Achievements

2
H-Index
4
Papers
11
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Restoring the native knee or designing the ‘optimal prosthetic’: Alignment, phenotypes and AI‐powered personalization in total knee arthroplasty
5 citations · 2025
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Universitat Autònoma de Barcelona, Hebron University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago