Utkarsh Anil

New York University Langone Orthopedic Hospital

Papers

1

Total Citations

1

H-Index

1

About

Utkarsh Anil is an emerging leader in orthopaedic surgery, with a focused expertise in total knee arthroplasty (TKA) and the application of advanced robotic-assisted technologies. His research critically examines the limitations of traditional surgical assumptions, particularly the reliance on coronal limb alignment to predict femoral rotation axes. In his landmark 2025 study, Anil demonstrated that coronal alignment does not adequately guide rotational targets, advocating instead for 3D image-based robotic platforms to achieve precise, patient-specific component placement. This work challenges long-standing clinical practices and offers a data-driven pathway to improved flexion-gap balance and patellofemoral tracking. Although early in his career, his contributions have already garnered citations, signaling growing influence in the field. Anil’s research sits at the intersection of biomechanics, surgical planning, and digital innovation, making him a key voice in the shift toward personalized, technology-enhanced arthroplasty. His findings promise to reshape how surgeons approach rotational alignment, ultimately aiming to reduce complications and enhance patient outcomes in knee replacement surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Coronal Alignment Does Not Adequately Predict Femoral Rotation Axes in Total Knee Arthroplasty: Application of a 3D Image-Based Robotic-Assisted Arthroplasty Platform
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: New York University Langone Orthopedic Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago