Joan Leal‐Blanquet
Papers
2
Total Citations
6
H-Index
1
About
Joan Leal‐Blanquet is a leading orthopaedic researcher whose work is reshaping the landscape of total knee arthroplasty (TKA). His primary research areas focus on surgical alignment philosophies, knee phenotypes, and the integration of artificial intelligence for personalized joint reconstruction. Leal‐Blanquet’s major contribution lies in critically analyzing the long-standing debate between restoring a patient’s native knee anatomy versus targeting a mechanically “optimal” prosthetic alignment. His 2025 paper on this topic, already garnering 5 citations, provides a foundational framework for understanding how AI can power individualized surgical decisions. Furthermore, his work on functional alignment demonstrates a quantifiable improvement in preserving the femoral joint line obliquity compared to traditional measured resection techniques. By using CT-based measurements to analyze anatomical relationships, he provides surgeons with evidence-based data to reduce coronal and axial positioning errors. Leal‐Blanquet’s research is pivotal for a new generation of surgeons seeking to move beyond one-size-fits-all approaches, offering a data-driven path toward truly personalized knee arthroplasty that respects each patient’s unique anatomy.
Research Focus
Key Achievements
Top Papers
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